Cited by 133Spatial Cognition and NavigationGeographic Information Systems StudiesUrban Design and Spatial Analysis

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Landmarks: GIScience for Intelligent Services

Richter, Kai-Florian, Winter, Stephan·2014·Springer eBooks

DOI 10.1007/978-3-319-05732-3

Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1007/978-3-319-05732-3

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Computing Machinery and Intelligence
Turing, A. M. (2007) · Springer eBooks · doi:10.1007/978-1-4020-6710-5_3 · Cited by 1,439
Enriching Wayfinding Instructions with Local Landmarks
Raubal, M., & Winter, S. (2002) · Lecture notes in computer science · doi:10.1007/3-540-45799-2_17 · Cited by 515
Self-citation
The Nature of Landmarks for Real and Electronic Spaces
Sorrows, M. E., & Hirtle, S. C. (1999) · Lecture Notes in Computer Science · doi:10.1007/3-540-48384-5_3 · Cited by 478
Points of reference in spatial cognition: Stalking the elusive landmark*
Presson, C. C., & Montello, D. R. (1988) · British Journal of Developmental Psychology · doi:10.1111/j.2044-835x.1988.tb01113.x · Cited by 239
Including landmarks in routing instructions
Duckham, M., Winter, S., & Robinson, M. (2010) · Journal of Location Based Services · doi:10.1080/17489721003785602 · Cited by 184
Self-citation
Intelligent Spatial Communication
Winter, S., & Wu, Y. (2009) · Lecture notes in geoinformation and cartography · doi:10.1007/978-3-540-88244-2_16 · Cited by 10
Self-citation
Conceptual Aspects: How Landmarks Can Be Described in Data Models
Richter, K., & Winter, S. (2014) · Springer eBooks · doi:10.1007/978-3-319-05732-3_4 · Cited by 2
Self-citation
Communication Aspects: How Landmarks Enrich the Communication Between Human and Machine
Richter, K., & Winter, S. (2014) · Springer eBooks · doi:10.1007/978-3-319-05732-3_6 · Cited by 2
Self-citation
Conclusions: What Is Known and What Is Still Challenging About Landmarks
Richter, K., & Winter, S. (2014) · Springer eBooks · doi:10.1007/978-3-319-05732-3_7 · Cited by 2
Self-citation

Show all 9 references

Sorted by citations

Landmarks in wayfinding: a review of the existing literature
Yeşiltepe, D., Dalton, R., & Torun, A. Ö. (2021) · Cognitive Processing · doi:10.1007/s10339-021-01012-x · Cited by 118
How does navigation system behavior influence human behavior?
Brügger, A., Richter, K., & Fabrikant, S. I. (2019) · Cognitive Research Principles and Implications · doi:10.1186/s41235-019-0156-5 · Cited by 102
Self-citation
Similarity matching for integrating spatial information extracted from place descriptions
Kim, J., Vasardani, M., & Winter, S. (2016) · International Journal of Geographical Information Systems · doi:10.1080/13658816.2016.1188930 · Cited by 75
Self-citation
Virtual environments as memory training devices in navigational tasks for older adults
Lokka, I. E., Çöltekin, A., Wiener, J. M., Fabrikant, S. I., & Röcke, C. (2018) · Scientific Reports · doi:10.1038/s41598-018-29029-x · Cited by 65
Toward optimizing the design of virtual environments for route learning: empirically assessing the effects of changing levels of realism on memory
Lokka, I. E., & Çöltekin, A. (2017) · International Journal of Digital Earth · doi:10.1080/17538947.2017.1349842 · Cited by 60
Ageing- and dementia-friendly design: theory and evidence from cognitive psychology, neuropsychology and environmental psychology can contribute to design guidelines that minimise spatial disorientation
Wiener, J. M., & Pazzaglia, F. (2021) · Cognitive Processing · doi:10.1007/s10339-021-01031-8 · Cited by 79
Orientation information in wayfinding instructions: evidences from human verbal and visual instructions
Anacta, V. J. A., Schwering, A., Li, R., & Münzer, S. (2016) · GeoJournal · doi:10.1007/s10708-016-9703-5 · Cited by 59
Spatial Learning with Orientation Maps: The Influence of Different Environmental Features on Spatial Knowledge Acquisition
Löwen, H., Krukar, J., & Schwering, A. (2019) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi8030149 · Cited by 49
Data trustworthiness and user reputation as indicators of VGI quality
Fogliaroni, P., D’Antonio, F., & Clementini, E. (2018) · Geo-spatial Information Science · doi:10.1080/10095020.2018.1496556 · Cited by 47
Measure of Landmark Semantic Salience through Geosocial Data Streams
Quesnot, T., & Roche, S. (2014) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi4010001 · Cited by 45
Perspective switch and spatial knowledge acquisition: effects of age, mental rotation ability and visuospatial memory capacity on route learning in virtual environments with different levels of realism
Lokka, I. E., & Çöltekin, A. (2019) · Cartography and Geographic Information Science · doi:10.1080/15230406.2019.1595151 · Cited by 43
The effect of landmark visualization in mobile maps on brain activity during navigation: A virtual reality study
Cheng, B., Wunderlich, A., Gramann, K., Lin, E., & Fabrikant, S. I. (2022) · Frontiers in Virtual Reality · doi:10.3389/frvir.2022.981625 · Cited by 41
“Turn Left after the WC, and Use the Lift to Go to the 2nd Floor”—Generation of Landmark-Based Route Instructions for Indoor Navigation
Fellner, I., Huang, H., & Gärtner, G. (2017) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi6060183 · Cited by 39
Comparing pedestrians’ gaze behavior in desktop and in real environments
Dong, W., Liao, H., Liu, B., Zhan, Z., Liu, H., Meng, L., & Liu, Y. (2020) · Cartography and Geographic Information Science · doi:10.1080/15230406.2020.1762513 · Cited by 37
Mental representation of landmarks on maps: Investigating cartographic visualization methods with eye tracking technology
Franke, C., & Schweikart, J. (2016) · Spatial Cognition and Computation · doi:10.1080/13875868.2016.1219912 · Cited by 29
Designing mobile spatial navigation systems from the user’s perspective: an interdisciplinary review
Ruginski, I. T., Giudice, N. A., Creem-Regehr, S. H., & Ishikawa, T. (2022) · Spatial Cognition and Computation · doi:10.1080/13875868.2022.2053382 · Cited by 31
Landmarks are Exaggerated
Montello, D. R. (2016) · Künstliche Intell. · doi:10.1007/s13218-016-0473-5 · Cited by 32
The Role of Emotional Landmarks in Embodied and Not-Embodied Tasks
Piccardi, L., Guariglia, P., Nori, R., & Palmiero, M. (2020) · Brain Science · doi:10.3390/brainsci10020058 · Cited by 25
Using spontaneous eye blink-related brain activity to investigate cognitive load during mobile map-assisted navigation
Cheng, B., Lin, E., Wunderlich, A., Gramann, K., & Fabrikant, S. I. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1024583 · Cited by 25
How does the design of landmarks on a mobile map influence wayfinding experts’ spatial learning during a real-world navigation task?
Kapaj, A., Lanini-Maggi, S., Hilton, C., Cheng, B., & Fabrikant, S. I. (2023) · Cartography and Geographic Information Science · doi:10.1080/15230406.2023.2183525 · Cited by 24
A multidimensional model for selecting personalised landmarks
Nuhn, E., & Timpf, S. (2017) · Journal of Location Based Services · doi:10.1080/17489725.2017.1401129 · Cited by 21
Visual Landmarks are Exaggerated: A Theoretical and Empirical View on the Meaning of Landmarks in Human Wayfinding
Hamburger, K. (2020) · Künstliche Intell. · doi:10.1007/s13218-020-00668-5 · Cited by 22
Finding the Return Path: Landmark Position Effects and the Influence of Perspective
Karimpur, H., Röser, F., & Hamburger, K. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01956 · Cited by 22
Sensory landmarks for indoor localization
Gu, F., Khoshelham, K., Shang, J., & Yu, F. (2016) · Ubiquitous Positioning, Indoor Navigation, and Location Based Service · doi:10.1109/upinlbs.2016.7809972 · Cited by 21
The influence of landmark visualization style on task performance, visual attention, and spatial learning in a real-world navigation task
Kapaj, A., Hilton, C., Lanini-Maggi, S., & Fabrikant, S. I. (2024) · Spatial Cognition & Computation · doi:10.1080/13875868.2024.2328099 · Cited by 20
“So, whilst the benefit of landmark information for efficient navigation is clear, the means by which to effectively communicate that information on mobile navigation systems have yet to be established (Richter & Winter, 2014).”
BackgroundInfluential
Personal Dimensions of Landmarks
Nuhn, E., & Timpf, S. (2017) · Lecture notes in geoinformation and cartography · doi:10.1007/978-3-319-56759-4_8 · Cited by 21
Inferring Landmarks for Pedestrian Navigation from Mobile Eye-Tracking Data and Google Street View
Lander, C., Wiehr, F., Herbig, N., Krüger, A., & Löchtefeld, M. (2017) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3027063.3053201 · Cited by 19
Examining the validity of the total dwell time of eye fixations to identify landmarks in a building
Viaene, P., Vansteenkiste, P., Lenoir, M., Wulf, A. D., & Maeyer, P. D. (2016) · Journal of Eye Movement Research · doi:10.16910/jemr.9.3.4 · Cited by 18
Navigation in Indoor Environments: Does the Type of Visual Learning Stimulus Matter?
Snopková, D., Švédová, H., Kubíček, P., & Stachoň, Z. (2019) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi8060251 · Cited by 18
Research on Generating an Indoor Landmark Salience Model for Self-Location and Spatial Orientation from Eye-Tracking Data
Wang, C., Chen, Y. J., Zheng, S., Yuan, Y., & Wang, S. (2020) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi9020097 · Cited by 17
Where Snow is a Landmark: Route Direction Elements in Alpine Contexts
Egorova, E., Tenbrink, T., & Purves, R. S. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-23374-1_9 · Cited by 17
Analyzing the Effects of VGI-based Landmarks on Spatial Memory and Navigation Performance
Bestgen, A.-K., Edler, D., Kuchinke, L., & Dickmann, F. (2016) · Künstliche Intell. · doi:10.1007/s13218-016-0452-x · Cited by 17
Defensive Wayfinding: Incongruent Information in Route Following
Tomko, M., & Richter, K. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-23374-1_20 · Cited by 15
Self-citation
Familiarity-dependent computational modelling of indoor landmark selection for route communication: a ranking approach
Zhou, Z., Weibel, R., & Huang, H. (2021) · International Journal of Geographical Information Systems · doi:10.1080/13658816.2021.1946542 · Cited by 15
Comparing written and photo-based indoor wayfinding instructions through eye fixation measures and user ratings as mental effort assessments
Cock, L. D., Viaene, P., de Weghe, N. V., Michels, R., Ooms, K., Vanhaeren, N., Wulf, A. D., & Maeyer, P. D. (2019) · Journal of Eye Movement Research · doi:10.16910/jemr.12.1.1 · Cited by 17
Choose your own route – supporting pedestrian navigation without restricting the user to a predefined route
Huang, H., Mathis, T., & Weibel, R. (2021) · Cartography and Geographic Information Science · doi:10.1080/15230406.2021.1983731 · Cited by 13
Evaluation of pedestrian navigation in Smart Cities
Stähli, L., Giannopoulos, I., & Raubal, M. (2020) · Environment and Planning B Urban Analytics and City Science · doi:10.1177/2399808320949538 · Cited by 13
Memory for Salient Landmarks: Empirical Findings and a Cognitive Model
Albrecht, R., & von Stülpnagel, R. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-96385-3_21 · Cited by 12
Identifying Landmark Candidates Beyond Toy Examples
Richter, K. (2017) · Künstliche Intell. · doi:10.1007/s13218-016-0477-1 · Cited by 12
Self-citation
A Mobile Application for a User-Generated Collection of Landmarks
Wolfensberger, M., & Richter, K. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-18251-3_1 · Cited by 11
Self-citation
Fixation-related potentials during mobile map assisted navigation in the real world: The effect of landmark visualization style
Hilton, C. W., Kapaj, A., & Fabrikant, S. I. (2024) · Attention Perception & Psychophysics · doi:10.3758/s13414-024-02864-z · Cited by 12
Place descriptions by landmarks
Zhou, S., Winter, S., Vasardani, M., & Zhou, S. (2016) · Journal of Spatial Science · doi:10.1080/14498596.2016.1196623 · Cited by 11
Self-citation
Computer models of saliency alone fail to predict subjective visual attention to landmarks during observed navigation
Yeşiltepe, D., Torun, A. Ö., Coutrot, A., Hornberger, M., Spiers, H. J., & Dalton, R. (2020) · Spatial Cognition and Computation · doi:10.1080/13875868.2020.1830993 · Cited by 11
A System of Automatic Generation of Landmark-Based Pedestrian Navigation Instructions and Its Effectiveness for Wayfinding
Wang, J., & Ishikawa, T. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-96385-3_22 · Cited by 10
AUGMENTATION OF THE URBAN GREEN INFRASTRUCTURE USING STORMWATER SURFACE RUNOFF AS A RESOURCE IN THE NICE EXPRESSWAY, KARNATAKA, INDIA
Shreewatsav, M., & Sheriff, V. A. (2022) · Journal of Environmental Engineering and Landscape Management · doi:10.3846/jeelm.2022.16394 · Cited by 9
Analysis of route choice based on path characteristics using Geolife GPS trajectories
Teimouri, F., Richter, K., & Hochmair, H. H. (2023) · Journal of Location Based Services · doi:10.1080/17489725.2023.2229285 · Cited by 13
Self-citation
An instance-based scoring system for indoor landmark salience evaluation
Zhu, L., Švédová, H., Shen, J., Stachoň, Z., Shi, J., Snopková, D., & Li, X. (2019) · Geografie · doi:10.37040/geografie2019124020103 · Cited by 9
Data-driven approach to learning salience models of indoor landmarks by using genetic programming
Hu, X., Ding, L., Shang, J., Fan, H., Novack, T., Noskov, A., & Zipf, A. (2020) · International Journal of Digital Earth · doi:10.1080/17538947.2019.1701109 · Cited by 9
Where Am I Now? Modelling Disorientation in Pan-Scalar Maps
Touya, G., Gruget, M., & Muehlenhaus, I. (2023) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi12020062 · Cited by 8
Mapping the visual magnitude of popular tourist sites in Edinburgh city
Bartie, P., & Mackaness, W. (2015) · Journal of Maps · doi:10.1080/17445647.2014.1001453 · Cited by 8
The Augmented Space of a Smart City
Fernández, F., Sánchez, Á., Vélez, J. F., & Moreno, B. (2020) · International Conference on Systems, Signals and Image Processing · doi:10.1109/iwssip48289.2020.9145247 · Cited by 8
Indoor landmark selection for route communication: the influence of route-givers’ social roles and receivers’ familiarity with the environment
Zhou, Z., Weibel, R., Fu, C., Winter, S., & Huang, H. (2021) · Spatial Cognition and Computation · doi:10.1080/13875868.2021.1959595 · Cited by 7
Self-citation
The role of landmarks in shaping Tirana’s urban identity: the shift from socialist to post-socialist city
Manahasa, E., & Manahasa, O. (2023) · European Planning Studies · doi:10.1080/09654313.2023.2249508 · Cited by 7
An Overall Framework for Personalised Landmark Selection
Nuhn, E., & Timpf, S. (2017) · Lecture notes in geoinformation and cartography · doi:10.1007/978-3-319-71470-7_12 · Cited by 7
Do people prefer a landmark route over a shortest route?
Nuhn, E., & Timpf, S. (2022) · Cartography and Geographic Information Science · doi:10.1080/15230406.2022.2075469 · Cited by 7
Waylosing and wayfinding in the outdoors: a typology of wayfinding approaches to problem-solving when temporarily lost
Wattne, O. E., & Volden, F. S. (2023) · Journal of Navigation · doi:10.1017/s0373463324000067 · Cited by 11
How to Model (Personalised) Landmarks?
Nuhn, E., & Timpf, S. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-57983-8_3 · Cited by 6
Taking the right (or left?) turn: effects of landmark salience on the retrieval of route directions
Albrecht, R., & von Stülpnagel, R. (2021) · Spatial Cognition and Computation · doi:10.1080/13875868.2021.1987438 · Cited by 6
Landmark weights - an alternative to spatial distances in shortest route algorithms
Nuhn, E., & Timpf, S. (2022) · Spatial Cognition and Computation · doi:10.1080/13875868.2022.2130330 · Cited by 6
Olfactory and visual vs. multimodal landmark processing in human wayfinding: a virtual reality experiment
Arena, E., & Hamburger, K. (2023) · Journal of Cognitive Psychology · doi:10.1080/20445911.2023.2248685 · Cited by 7
Improved Navigation Performance Through Memory Triggering Maps: A Neurocartographic Approach
Dickmann, F., Keil, J., Korte, A., Edler, D., ́Meara, D. O., Bordewieck, M., & Axmacher, N. (2024) · KN - Journal of Cartography and Geographic Information · doi:10.1007/s42489-024-00181-x · Cited by 5
A Wayfinding Grammar Based on Reference System Transformations
Kiefer, P., Scheider, S., Giannopoulos, I., & Weiser, P. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-23374-1_21 · Cited by 5
It’s also about timing! When do pedestrians want to receive navigation instructions
Golab, A., Kattenbeck, M., Sarlas, G., & Giannopoulos, I. (2021) · Spatial Cognition and Computation · doi:10.1080/13875868.2021.1942474 · Cited by 5
Cognitive landmark research beyond visual cues using GIScience
Hamburger, K., & Nuhn, E. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1092715 · Cited by 5
Structural Landmark Salience Computation in Compact Urban Districts with 3D Node-Landmark Grid Analysis Model: A Case Study on Two Sample Districts in Changsha, China
Guo, Y., Hu, X., & Tang, J. (2023) · Buildings · doi:10.3390/buildings13041024 · Cited by 7
Indoor landmark-based path-finding utilising the expanded connectivity of an endpoint partition
Viaene, P., Wulf, A. D., & Maeyer, P. D. (2016) · Environment and Planning B Urban Analytics and City Science · doi:10.1177/0265813516670901 · Cited by 5
Investigation of Landmark-Based Pedestrian Navigation Processes with a Mobile Eye Tracking System
Franke, C., & Schweikart, J. (2016) · Lecture notes in geoinformation and cartography · doi:10.1007/978-3-319-47289-8_6 · Cited by 5
3D Saliency for Finding Landmark Buildings
Kobyshev, N., Riemenschneider, H., Bódis-Szomorú, A., & Gool, L. V. (2016) · International Conference on 3D Vision (3DV) · doi:10.1109/3dv.2016.35 · Cited by 5
Geographical Design: Spatial Cognition and Geographical Information Science
Hirtle, S. C. (2019) · Synthesis lectures on human-centered informatics · doi:10.2200/s00921ed2v01y201904hci043 · Cited by 5
A Hybrid DEA Approach for the Upgrade of an Existing Bike-Sharing System with Electric Bikes
Tuljak‐Suban, D., & Bajec, P. (2022) · Energies · doi:10.3390/en15217849 · Cited by 4
Overview of the Relationship between Human Spatial Abilities and GPS Usage
Berki, B. (2022) · IEEE International Conference on Cognitive Mobility (CogMob) · doi:10.1109/cogmob55547.2022.10117612 · Cited by 4
A Landmark-based cognition strength grid model for indoor guidance
Li, L., Mao, K., Guo-zhong, L., & Wen, Y. (2017) · Survey Review · doi:10.1080/00396265.2016.1277004 · Cited by 4
Landmark-Based Navigation in Cognitive Systems
Krukar, J., Schwering, A., & Anacta, V. J. A. (2017) · Künstliche Intell. · doi:10.1007/s13218-017-0487-7 · Cited by 4
Exploring the presence and persistence of cartographic anchors in pan-scalar maps
Gruget, M., Touya, G., & Muehlenhaus, I. (2024) · Spatial Cognition and Computation · doi:10.1080/13875868.2024.2383419 · Cited by 3
Enhancing wayfinding and route learning: a human-centred study of the route-defining locations algorithm
Teimouri, F., & Richter, K. (2024) · Behaviour and Information Technology · doi:10.1080/0144929x.2024.2308754 · Cited by 3
Self-citation
Mixed reality-based coordinate system for enhancing survey knowledge acquisition: a study on allocentric and egocentric perspectives
Wang, S., Liu, B., Feng, Y., & Meng, L. (2024) · Cartography and Geographic Information Science · doi:10.1080/15230406.2024.2409915 · Cited by 6
Effect of Landmark Type on Route Memory in Unfamiliar Homogenous Environment
Sameer, A., & Bhushan, B. (2017) · Psychological Studies · doi:10.1007/s12646-017-0407-9 · Cited by 3
Identifying Places
Watt, D. J. L., & Llamas, C. C. (2017) · Cambridge University Press eBooks · doi:10.1017/9781316162477.011 · Cited by 3
Incorporating directional signs into indoor navigation systems
Wang, W., Huang, H., Lyu, H., & Gärtner, G. (2019) · Abstracts of the ICA · doi:10.5194/ica-abs-1-394-2019 · Cited by 3
Landmarks on the move: Producing and understanding references to moving landmarks
Baltaretu, A., Krahmer, E., & Maes, A. (2016) · Spatial Cognition and Computation · doi:10.1080/13875868.2016.1212863 · Cited by 3
Increasing the Density of Local Landmarks in Wayfinding Instructions for the Visually Impaired
Padmanaban, R., & Krukar, J. (2016) · Lecture notes in geoinformation and cartography · doi:10.1007/978-3-319-47289-8_7 · Cited by 3
Archaeological landscape – the past and the present. A case study of the megalithic landscape of Wietrzychowice, Poland
Żemła-Siesicka, A. (2022) · Landscape Online · doi:10.3097/lo.2022.1099 · Cited by 3
Schematizing car routes with their surrounding street network
Galvão, M. L., Krukar, J., & Schwering, A. (2022) · Cartography and Geographic Information Science · doi:10.1080/15230406.2022.2125077 · Cited by 3
The Relation Between Cardinal Axes, Spatial Cells and Navigation Performance
Korte, A., Keil, J., & Dickmann, F. (2024) · KN - Journal of Cartography and Geographic Information · doi:10.1007/s42489-024-00182-w · Cited by 2
Gaze graphs in spatial navigation: visual behavior during free exploration explains individual differences in navigation performance
Walter, J. L., Schmidt, V., König, S. U., & Peter König, B. (2026) · Frontiers in Virtual Reality · doi:10.3389/frvir.2026.1783918 · Cited by 1
Narrating the route: route memorability in navigation instructions augmented with narrative–results from a user study
Youngblood, L., & Gärtner, G. (2023) · Journal of Location Based Services · doi:10.1080/17489725.2023.2265871 · Cited by 2
Perspectives in Externalizations of Mental Spatial Representations
Löwen, H., Schwering, A., Krukar, J., & Winter, S. (2017) · Lecture notes in geoinformation and cartography · doi:10.1007/978-3-319-56759-4_7 · Cited by 2
Self-citation
Effects of Landmark Position and Design in VGI-Based Maps on Visual Attention and Cognitive Processing
Keil, J., Dickmann, F., & Kuchinke, L. (2023) · Springer eBooks · doi:10.1007/978-3-031-35374-1_8 · Cited by 3
Selecting Landmarks for Wayfinding Assistance Based on Advance Visibility
Gedicke, S., Tomko, M., Winter, S., & Haunert, J. (2023) · ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS) · doi:10.1145/3589132.3625605 · Cited by 3
Self-citation
Exploring the Use of Landmarks to Aid Pedestrian Wayfinding
Kuys, B., Haig, A. J., & Mridha, M. (2024) · Applied Sciences · doi:10.3390/app14177814 · Cited by 2
Minimalism or Creative Chaos? On the Arrangement and Analysis of Numerous Scatterplots in Immersive 3D Knowledge Spaces
Derksen, M., Kuhlen, T., Botsch, M., & Weißker, T. (2025) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2025.3549546 · Cited by 1
Adapted Route Instructions for Navigation Technologies in Support of Wheelchair Mobility in Urban Areas: Online Survey
Azimi, S., Mostafavi, M. A., Best, K. L., Dommès, A., & Montuwy, A. (2026) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi15030110 · Cited by 1
Partizipative Methoden zur Erfassung und Verarbeitung von Geoinformationen
Griesbaum, L., Eckle, M., Herfort, B., Raifer, M., & Zipf, A. (2017) · HMD Praxis der Wirtschaftsinformatik · doi:10.1365/s40702-017-0331-4 · Cited by 1
Producing Referring Expressions in Identification Tasks and Route Directions: What’s the Difference?
Baltaretu, A., Krahmer, E., & Maes, A. (2017) · Discourse Processes · doi:10.1080/0163853x.2017.1386522 · Cited by 1
The world, the computer, and the mind: how Andrew Frank helped make human language and cognition cornerstones of geographic information science
Montello, D. R., & Mark, D. M. (2018) · International Journal of Geographical Information Systems · doi:10.1080/13658816.2018.1436714 · Cited by 1
Investigating Wayfinding Under Inconsistent Information
Richter, K., Devlin, R., & Greca, F. L. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-57983-8_15 · Cited by 1
Self-citation
‘Straight? What straight?’Investigating navigation instructions’applicability
Teimouri, F., & Richter, K. (2021) · Journal of Location Based Services · doi:10.1080/17489725.2021.2014582 · Cited by 1
Self-citation
Landmarks for Location-Based Services (LBS) in Particular Navigation and Wayfinding
Krisp, J. M. (2016) · Künstliche Intell. · doi:10.1007/s13218-016-0462-8 · Cited by 1
Brain-inspired spatial intelligence for embodied agents
Ruan, S., Wang, L., Kang, C., Zhu, Q., Liu, S., Wei, X., & Su, H. (2026) · Nature Communications · doi:10.1038/s41467-026-74358-5 · Cited by 1
Geoinformation zur Navigationsunterstützung
Winter, S. (2019) · Springer Reference Naturwissenschaften · doi:10.1007/978-3-662-47096-1_65
Self-citation

Authors: Richter, K.-F., & Winter, S.
Affiliations: The University of Melbourne (AU)
ORCID: Richter, Kai-Florian
Winter, Stephan
Venue: Springer eBooks
Publisher: Springer International Publishing
Published: 2014
DOI: 10.1007/978-3-319-05732-3
OpenAlex: W4205511608
Cited by: 133
References: 9
Citations by year: 2026: 6 · 2025: 4 · 2024: 11 · 2023: 15 · 2022: 11 · 2021: 11 · 2020: 13 · 2019: 13 · 2018: 6 · 2017: 16 · 2016: 18 · 2015: 8 · 2014: 1
FWCI: 5.58
Type: book
Language: en
Open access: closed
Licence: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: Springer eBooks (publishedVersion)
CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (submittedVersion)
Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
Topics: Social Sciences › Psychology › Experimental and Cognitive Psychology › Spatial Cognition and Navigation
Social Sciences › Geography, Planning and Development › Geographic Information Systems Studies
Social Sciences › Urban Studies › Urban Design and Spatial Analysis
Keywords: landmarks, geographic information science, landmark selection, cognitive systems, human-computer interaction, navigation services, cognitive modeling

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Landmarks: GIScience for Intelligent Services

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks