The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Least-cost paths in mountainous terrain
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Claims the paper makes
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?
In the citing paper
“Although a number of existing travel rate functions exist, they fail to sufficiently account for the vast diversity of landscape conditions that impede foot travel3–11.”
From A singular, broadly-applicable model for estimating on- and off-path walking travel rates using airborne lidar data (2024) · cites this paper as [10]
In the citing paper
“and for “on-path” travel, where surface roughness is assumed to be uniform and vegetation density is negligible3,5,10.”
From A singular, broadly-applicable model for estimating on- and off-path walking travel rates using airborne lidar data (2024) · cites this paper as [10]
In the citing paper
“Hikers and hillwalkers typically use the gradient in the direction of travel (walking slope) as the main variable in established methods for predicting walking time (via the walking speed) along a route.”
From Improved prediction of hiking speeds using a data driven approach (2023) · cites this paper as [10]
In the citing paper
“These slopecontrolled models estimate travel rates solely as a function of slope, which is most appropriate for on-path travel (i.e. on a road or trail) where vegetation density and surface roughness are low.”
From Machine learning estimation of off-trail pedestrian travel rates using LiDAR-derived slope, vegetation, and surface roughness (2026) · cites this paper as Rees 2004
Citations
Cites
A note on two problems in connexion with graphs
Dijkstra, E. (1959) · Numerische Mathematik · doi:10.1007/bf01386390 · Cited by 24,351
Optimum gradient of mountain paths
Minetti, A. E. (1995) · Journal of Applied Physiology · doi:10.1152/jappl.1995.79.5.1698 · Cited by 79
Flagged first, then by citations
Research works printed but not linked: 7
- Carver, 2000, Munro-bagging with a computer…? Naismith's rule and the long walk in, Scottish Mountaineering Club Journal, 191, 317
- Fritz, S., Carver, S., 2000. Modelling remoteness in roadless areas using GIS. Proceedings of the 4th International Conference and Workshop on Integrating Geographical Information Systems and Environmental Modelling. Banff, Canada. http://www.colorado.edu/research/cires/banff/pubpapers/157/ (accessed 03.10.03).
- Margaria, 1938, Sulla fisiologia e specialmente sul consumo energetico della marcia e della corsa a varia velocità ed inclinazione del terreno., Atti Della Accademia Nazionale Dei Lincei Memorie, 7, 299
- Margaria, R., 1976. Biomechanics of human locomotion. In: Biomechanics and Energetics of Muscular Exercise. Clarendon Press, Oxford, pp. 67–129.
- Naismith, W.W., 1892. Scottish Mountaineering Club Journal 2, 136.
- Rees, W.G., 2003. Naismith's rule overhauled. Scottish Mountaineering Club Journal, submitted for publication.
- Sedgewick, R., 2001. Algorithms in C, Part 5: Graph Algorithms, 3rd ed. Addison-Wesley, Boston. 512pp.
Cited by
Sorted by citations
Energy Landscapes Shape Animal Movement Ecology
Shepard, E. L. C., Wilson, R. P., Rees, G., Grundy, E., Lambertucci, S. A., & Vosper, S. (2013) · The American Naturalist · doi:10.1086/671257 · Cited by 496
Terrestrial movement energetics: current knowledge and its application to the optimising animal
Halsey, L. G. (2016) · Journal of Experimental Biology · doi:10.1242/jeb.133256 · Cited by 139
Apex scavenger movements call for transboundary conservation policies
Lambertucci, S. A., Alarcón, P. A. E., Hiraldo, F., Sánchez‐Zapata, J. A., Blanco, G., & Donázar, J. A. (2014) · Biological Conservation · doi:10.1016/j.biocon.2013.12.041 · Cited by 128
Optimum swimming pathways of fish spawning migrations in rivers
McElroy, B. J., DeLonay, A. J., & Jacobson, R. B. (2011) · Ecology · doi:10.1890/11-1082.1 · Cited by 103
Tomczyk, A., & Ewertowski, M. (2013) · Applied Geography · doi:10.1016/j.apgeog.2013.02.004 · Cited by 102
Metadata
- Authors
- Rees, W. G.
- Venue
- Computers & Geosciences
- Publisher
- Elsevier BV
- Published
- 2004-04
- Volume
- 30
- Issue
- 3
- Pages
- 203-209
- ISSN
- 0098-3004 (ISSN-L)
- OpenAlex
- W2044089388
- Cited by
- 156
- References
- 2
- Citations by year
- 2026: 14 · 2025: 7 · 2024: 10 · 2023: 11 · 2022: 4 · 2021: 8 · 2020: 21 · 2019: 6 · 2018: 5 · 2017: 13 · 2016: 8 · 2015: 8 · 2014: 9 · 2013: 4 · 2012: 7
- FWCI
- 2.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers & Geosciences (publishedVersion)
- Topics
- Social Sciences › Transportation › Transportation Planning and Optimization
- Social Sciences › Urban Studies › Urban Design and Spatial Analysis
- Physical Sciences › Environmental Science › Ecology › Wildlife-Road Interactions and Conservation
- Keywords
- least-cost path, mountainous terrain, footpaths, digital elevation model, Dijkstra's algorithm, slope gradient, human locomotion, metabolic cost, route planning
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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.
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