eBird: A citizen-based bird observation network in the biological sciences

The Elements of Statistical Learning

Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Lu, Z. Q. J. (2010) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/j.1467-985x.2010.00646_6.x · Cited by 12,916

The Birds of North America online

(2005) · Choice Reviews Online · doi:10.5860/choice.43-1297 · Cited by 876

Partners in Flight North American Landbird Conservation Plan

Faaborg, J. R. (2005) · The Auk · doi:10.1642/0004-8038(2005)122[0373:pifnal]2.0.co;2 · Cited by 432

The Distribution of the Birds of California

Farner, D. S., Grinnell, J., & Miller, A. H. (1945) · Bird-Banding · doi:10.2307/4509878 · Cited by 291

Data‐Mining Discovery of Pattern and Process in Ecological Systems

Hochachka, W. M., Caruana, R., Fink, D., Munson, M. A., Riedewald, M., Sorokina, D., & Kelling, S. (2007) · Journal of Wildlife Management · doi:10.2193/2006-503 · Cited by 180

Defining and Unraveling Biocomplexity

Michener, W. K., Baerwald, T. J., Firth, P. L., Palmer, M. A., Rosenberger, J. L., Sandlin, E. A., & ZIMMERMAN, H. (2001) · BioScience · doi:10.1641/0006-3568(2001)051[1018:daub]2.0.co;2 · Cited by 174

Issues and Perspectives in Landscape Ecology

(2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511614415 · Cited by 173

Issues and Perspectives in Landscape Ecology

Wiens, J. A., & Moss, M. R. (2005) · Cited by 170

Towards a cyberinfrastructure for the biological sciences: progress, visions and challenges

Stein, L. D. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2414 · Cited by 160

Using an adaptive modeling framework to identify avian influenza spillover risk at the wild-domestic interface

Prosser, D. J., Kent, C. M., Sullivan, J. D., Patyk, K. A., McCool, M. J., Torchetti, M. K., Lantz, K., & Mullinax, J. M. (2024) · Scientific Reports · doi:10.1038/s41598-024-64912-w · Cited by 31

AudioProtoPNet: An interpretable deep learning model for bird sound classification

Heinrich, R., Rauch, L., Sick, B., & Scholz, C. (2025) · Ecological Informatics · doi:10.1016/j.ecoinf.2025.103081 · Cited by 34

History of nonnative Monk Parakeets in Mexico

Hobson, E. A., Smith‐Vidaurre, G., & Salinas‐Melgoza, A. (2017) · PLoS ONE · doi:10.1371/journal.pone.0184771 · Cited by 31

PLACES: A Framework for Supporting Blind and Partially Sighted People in Outdoor Leisure Activities

Bandukda, M., Holloway, C., Singh, A., & Bianchi‐Berthouze, N. (2020) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3373625.3417001 · Cited by 31

The unrealized potential of community science to support research on the resilience of protected areas

Binley, A. D., Proctor, C. A., Pither, R., Davis, S. A., & Bennett, J. (2021) · Conservation Science and Practice · doi:10.1111/csp2.376 · Cited by 35

Widespread shifts in bird migration phenology are decoupled from parallel shifts in morphology

Zímová, M., Willard, D. E., Winger, B. M., & Weeks, B. C. (2021) · Journal of Animal Ecology · doi:10.1111/1365-2656.13543 · Cited by 31

Evaluating ecological uniqueness over broad spatial extents using species distribution modelling

Dansereau, G., Legendre, P., & Poisot, T. (2022) · Oikos · doi:10.1111/oik.09063 · Cited by 33

Snow cover dynamics: an overlooked yet important feature of winter bird occurrence and abundance across the United States

Keyser, S. R., Fink, D., Gudex‐Cross, D., Radeloff, V. C., Pauli, J. N., & Zuckerberg, B. (2022) · Ecography · doi:10.1111/ecog.06378 · Cited by 31

Bugs in the Data: How ImageNet Misrepresents Biodiversity

Luccioni, A. S., & Rolnick, D. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v37i12.26682 · Cited by 45

Assessing habitat loss and fragmentation and their effects on population viability of forest specialist birds: Linking biogeographical and population approaches

Carvajal, M. A., Alaniz, A. J., Smith‐Ramírez, C., & Sieving, K. E. (2018) · Diversity and Distributions · doi:10.1111/ddi.12730 · Cited by 31

Mammalwatching: A new source of support for science and conservation

Леонидович, Д. В., & Jon, H. (2018) · International Journal of Biodiversity and Conservation · doi:10.5897/ijbc2017.1162 · Cited by 30

Prospects for monitoring bird migration along the East Asian‐Australasian Flyway using weather radar

Shi, X., Hu, C., Soderholm, J., Chapman, J. W., Mao, H., Cui, K., Ma, Z., Wu, D., & Fuller, R. A. (2022) · Remote Sensing in Ecology and Conservation · doi:10.1002/rse2.307 · Cited by 30

The global distribution and diversity of wild-bird-associated pathogens: An integrated data analysis and modeling study

Qiu, Y., Lv, C., Chen, J., Sun, Y., Tang, T., Zhang, Y., Yang, Y., Wang, G., Xu, Q., Zhang, X., et al. (2024) · Med · doi:10.1016/j.medj.2024.11.006 · Cited by 32

Sex-Specific Spatiotemporal Variation and Carry-Over Effects in a Migratory Alpine Songbird

de Zwaan, D. R., Wilson, S., Gow, E. A., & Martin, K. (2019) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2019.00285 · Cited by 30

The influence of stochasticity, landscape structure and species traits on abundant–centre relationships

Dallas, T., & Santini, L. (2020) · Ecography · doi:10.1111/ecog.05164 · Cited by 30

Continental‐scale 1 km hummingbird diversity derived from fusing point records with lateral and elevational expert information

Ellis‐Soto, D., Merow, C., Amatulli, G., Parra, J. L., & Jetz, W. (2021) · Ecography · doi:10.1111/ecog.05119 · Cited by 25

Community phylogeographic patterns reveal how a barrier filters and structures taxa in North American warm deserts

Provost, K. L., Myers, E. A., & Smith, B. T. (2021) · Journal of Biogeography · doi:10.1111/jbi.14115 · Cited by 30

Niche expansion and adaptive divergence in the global radiation of crows and ravens

Garcia‐Porta, J., Sol, D., Pennell, M., Sayol, F., Kaliontzopoulou, A., & Botero, C. A. (2022) · Nature Communications · doi:10.1038/s41467-022-29707-5 · Cited by 30

Integrated community models: A framework combining multispecies data sources to estimate the status, trends and dynamics of biodiversity

Zipkin, E. F., Doser, J. W., Davis, C. L., Leuenberger, W., Ayebare, S., & Davis, K. L. (2023) · Journal of Animal Ecology · doi:10.1111/1365-2656.14012 · Cited by 30

Citizen Science 2.0: Data Management Principles to Harness the Power of the Crowd

Lukyanenko, R., Parsons, J., & Wiersma, Y. F. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-20633-7_34 · Cited by 30

Emergent Filters: Automated Data Verification in a Large-Scale Citizen Science Project

Kelling, S., Yu, J., Gerbracht, J., & Wong, W. (2011) · IEEE International Conference on e-Science Workshops · doi:10.1109/esciencew.2011.13 · Cited by 30

Crowd vs. crowd

Park, C. H., Son, K., Lee, J. H., & Bae, S.-H. (2013) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/2441776.2441920 · Cited by 33

Assessing Citizen Contributions to Butterfly Monitoring in Two Large Cities

Matteson, K. C., Taron, D. J., & Minor, E. S. (2012) · Conservation Biology · doi:10.1111/j.1523-1739.2012.01825.x · Cited by 30

Changing climate mediates sapsucker (Aves:Sphyrapicus) hybrid zone movement

Billerman, S. M., Murphy, M. A., & Carling, M. D. (2016) · Ecology and Evolution · doi:10.1002/ece3.2507 · Cited by 30

The extirpation of species outside protected areas

Boakes, E. H., Fuller, R. A., & McGowan, P. J. K. (2018) · Conservation Letters · doi:10.1111/conl.12608 · Cited by 30

Designing online species identification tools for biological recording: the impact on data quality and citizen science learning

Sharma, N., Colucci‐Gray, L., Siddharthan, A., Comont, R., & van der Wal, R. (2019) · PeerJ · doi:10.7717/peerj.5965 · Cited by 34

Testing a continuous measure of recreation specialization among birdwatchers

Harshaw, H. W., Cole, N. W., Dayer, A. A., Rutter, J. D., Fulton, D. C., Raedeke, A. H., Schuster, R. M., & Duberstein, J. N. (2020) · Human Dimensions of Wildlife · doi:10.1080/10871209.2020.1843741 · Cited by 29

Winter Habitat Indices (WHIs) for the contiguous US and their relationship with winter bird diversity

Gudex‐Cross, D., Keyser, S. R., Zuckerberg, B., Fink, D., Zhu, L., Pauli, J. N., & Radeloff, V. C. (2021) · Remote Sensing of Environment · doi:10.1016/j.rse.2021.112309 · Cited by 28

Ophiophagy in Brazilian birds: a contribution from a collaborative platform of citizen science

de Souza, E., Lima‐Santos, J., Entiauspe-Neto, O. M., dos Santos, M. M., de Moura, P. R., & Hingst‐Zaher, E. (2022) · Ornithology Research · doi:10.1007/s43388-022-00082-5 · Cited by 29

Bird Communities in a Changing World: The Role of Interspecific Competition

Guillaumet, A., & Russell, I. (2022) · Diversity · doi:10.3390/d14100857 · Cited by 29

Promoting urban ecological resilience through the lens of avian biodiversity

McCloy, M. W. D., Andringa, R. K., Maness, T. J., Smith, J. A., & Grace, J. K. (2024) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2024.1302002 · Cited by 29

Listening to the forest and its curators

Moran, S., Pantidi, N., Rodden, T. A., Chamberlain, A., Griffiths, C., Zilli, D., Merrett, G. V., & Rogers, A. (2014) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2556288.2557022 · Cited by 29

Automated telemetry reveals staging behavior in a declining migratory passerine

Wright, J. R., Powell, L. L., & Tonra, C. M. (2018) · The Auk · doi:10.1642/auk-17-219.1 · Cited by 29

Message Passing for Collective Graphical Models

Sun, T., Sheldon, D., & Kumar, A. (2015) · Cited by 26

Seasonal occurrence and abundance of dabbling ducks across the continental United States: Joint spatio‐temporal modelling for the GenusAnas

Humphreys, J. M., Mullinax, J. M., Sullivan, J. D., & Prosser, D. J. (2019) · Diversity and Distributions · doi:10.1111/ddi.12960 · Cited by 28

Not just trash birds: Quantifying avian diversity at landfills using community science data

Arnold, Z. J., Wenger, S. J., & Hall, R. J. (2021) · PLoS ONE · doi:10.1371/journal.pone.0255391 · Cited by 28

Differential changes in the onset of spring across US National Wildlife Refuges and North American migratory bird flyways

Waller, E. K., Crimmins, T. M., Walker, J. J., Posthumus, E., & Weltzin, J. F. (2018) · PLoS ONE · doi:10.1371/journal.pone.0202495 · Cited by 30

A continental measure of urbanness predicts avian response to local urbanization

Callaghan, C. T., Major, R. E., Cornwell, W. K., Poore, A. G. B., Wilshire, J. H., & Lyons, M. (2019) · Ecography · doi:10.1111/ecog.04863 · Cited by 26

The Geographic Distribution of a Tropical Montane Bird Is Limited by a Tree: Acorn Woodpeckers (Melanerpes formicivorus) and Colombian Oaks (Quercus humboldtii) in the Northern Andes

Freeman, B. G., & Mason, N. A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0128675 · Cited by 27

Incorporating abundance information and guiding variable selection for climate-based ensemble forecasting of species' distributional shifts

Tanner, E. P., Papeş, M., Elmore, R. D., Fuhlendorf, S. D., & Davis, C. A. (2017) · PLoS ONE · doi:10.1371/journal.pone.0184316 · Cited by 27

Getting the most out of citizen science for endangered species such as whale shark

Araújo, G., Ismail, A. R., McCann, C., McCann, D. P., Legaspi, C. G., Snow, S., Labaja, J., Manjaji‐Matsumoto, B. M., & Ponzo, A. (2020) · Journal of Fish Biology · doi:10.1111/jfb.14254 · Cited by 27

Shapeshifting attachment: Exploring multi‐dimensional people–place bonds in place‐based citizen science

Haywood, B. K., Parrish, J., & He, Y. (2020) · People and Nature · doi:10.1002/pan3.10174 · Cited by 25

Urban tolerance of birds changes throughout the full annual cycle

Callaghan, C. T., Cornwell, W. K., Poore, A. G. B., Benedetti, Y., & Morelli, F. (2021) · Journal of Biogeography · doi:10.1111/jbi.14093 · Cited by 27

Citizen science as a tool to assess cetacean diversity in the Atacama Desert coast

García‐Cegarra, A. M., Toro, F., & Gonzalez-Borasca, V. (2021) · Ocean & Coastal Management · doi:10.1016/j.ocecoaman.2021.105858 · Cited by 27

Using Convolutional Neural Networks to Efficiently Extract Immense Phenological Data From Community Science Images

Reeb, R. A., Aziz, N., Lapp, S., Kitzes, J. A., Heberling, J. M., & Kuebbing, S. E. (2022) · Frontiers in Plant Science · doi:10.3389/fpls.2021.787407 · Cited by 28

Hybridization between closely related songbirds is related to human habitat disturbance

Grabenstein, K. C., Otter, K. A., Burg, T. M., & Taylor, S. A. (2022) · Global Change Biology · doi:10.1111/gcb.16476 · Cited by 28

Building a mechanistic understanding of climate-driven elevational shifts in birds

Neate‐Clegg, M. H. C., & Tingley, M. W. (2023) · PLOS Climate · doi:10.1371/journal.pclm.0000174 · Cited by 30

On the importance of geographic and taxonomic sampling in phylogeography: A reevaluation of diversification and species limits in a Neotropical thrush (Aves, Turdidae)

Avendaño, J. E., Arbeláez‐Cortés, E., & Cadena, C. D. (2017) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2017.03.020 · Cited by 27

AviList: a unified global bird checklist

Rheindt, F. E., Donald, P. F., Donsker, D. B., Gerbracht, J., Iliff, M. J., Lepage, D., Norman, J. A., Rasmussen, P. C., Schodde, R., Schulenberg, T. S., et al. (2025) · Biodiversity and Conservation · doi:10.1007/s10531-025-03120-y · Cited by 30

A Migratory Divide in the Painted Bunting ( Passerina ciris )

Battey, C. J., Linck, E. B., Epperly, K., French, C., Slager, D. L., Sykes, P. W., & Klicka, J. (2017) · The American Naturalist · doi:10.1086/695439 · Cited by 26

Comparing the reliability of relative bird abundance indices from standardized surveys and community science data at finer resolutions

Feng, M.-L. E., & Che‐Castaldo, J. P. (2021) · PLoS ONE · doi:10.1371/journal.pone.0257226 · Cited by 26

Data from public and governmental databases show that a large proportion of the regional animal species pool occur in cities in Germany

Sweet, F. S. T., Apfelbeck, B., Hanusch, M., Monteagudo, C. G., & Weisser, W. W. (2022) · Journal of Urban Ecology · doi:10.1093/jue/juac002 · Cited by 26

Amateurs can be experts: A new perspective on collaborations with citizen scientists

Viola, B. M., Sorrell, K. J., Clarke, R. H., Corney, S. P., & Vaughan, P. M. (2022) · Biological Conservation · doi:10.1016/j.biocon.2022.109739 · Cited by 26

Projected Shifts in Bird Distribution in India under Climate Change

Deomurari, A., Sharma, A. N., Ghose, D., & Singh, R. K. (2023) · Diversity · doi:10.3390/d15030404 · Cited by 26

Extending Classification Principles from Information Modeling to Other Disciplines

Parsons, J., & Wand, Y. (2013) · Journal of the Association for Information Systems · doi:10.17705/1jais.00332 · Cited by 26

Using citizen science data to identify the sensitivity of species to human land use

Todd, B. D., Rose, J. P., Price, S. J., & Dorcas, M. E. (2016) · Conservation Biology · doi:10.1111/cobi.12686 · Cited by 26

Remotely sensed indicators and open-access biodiversity data to assess bird diversity patterns in Mediterranean rural landscapes

Ribeiro, I., Proença, V. M., Serra, P., Palma, J., Domingo‐Marimon, C., Pons, X., & Domingos, T. (2019) · Scientific Reports · doi:10.1038/s41598-019-43330-3 · Cited by 27

Melting barriers to faunal exchange across ocean basins

McKeon, C. S., Weber, M. X., Alter, S. E., Seavy, N. E., Crandall, E. D., Barshis, D. J., Fechter-Leggett, E. D., & Oleson, K. L. L. (2015) · Global Change Biology · doi:10.1111/gcb.13116 · Cited by 26

Chipper: Open‐source software for semi‐automated segmentation and analysis of birdsong and other natural sounds

Searfoss, A. M., Pino, J. C., & Creanza, N. (2020) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13368 · Cited by 25

Hummingbird–Plant Interactions Are More Specialized in Forest Compared to Coffee Plantations

Morrison, B. M. L., & Mendenhall, C. D. (2020) · Diversity · doi:10.3390/d12040126 · Cited by 25

Project RISE: Recognizing Industrial Smoke Emissions

Hsu, Y.-C., Huang, T.-H., Hu, T.-Y., Dille, P., Prendi, S., Hoffman, R., Tsuhlares, A., Pachuta, J., Sargent, R., & Nourbakhsh, I. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v35i17.17739 · Cited by 25

Wind energy expansion and birds: Identifying priority areas for impact avoidance at a national level

Balotari‐Chiebao, F., Santangeli, A., Piirainen, S., & Byholm, P. (2022) · Biological Conservation · doi:10.1016/j.biocon.2022.109851 · Cited by 25

An Online Fairness-Aware Task Planning Approach for Spatial Crowdsourcing

Zhang, J., Jiang, T., Gao, X., & Chen, G. (2022) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2022.3229112 · Cited by 25

Closing the loop — From citizen sensing to citizen actuation

Crowley, D. N., Curry, E., & Breslin, J. G. (2013) · IEEE International Conference on Digital Ecosystems and Technologies · doi:10.1109/dest.2013.6611338 · Cited by 25

A Framework for Outdoor Mobile Augmented Reality and Its Application to Mountain Peak Detection

Fedorov, R., Frajberg, D., & Fraternali, P. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-40621-3_21 · Cited by 25

A citizen-based platform reveals the distribution of functional groups inside a large city from the Southern Hemisphere: e-Bird and the urban birds of Santiago (Central Chile)

Gutiérrez‐Tapia, P., Azócar, M., & Castro, S. A. (2018) · Revista chilena de historia natural · doi:10.1186/s40693-018-0073-x · Cited by 25

Perspectives on biodiversity informatics for ecology

Osawa, T. (2019) · Ecological Research · doi:10.1111/1440-1703.12023 · Cited by 25

Citizen science in the marine environment: estimating common dolphin densities in the north-east Atlantic

Robbins, J. R., Babey, L., & Embling, C. B. (2020) · PeerJ · doi:10.7717/peerj.8335 · Cited by 25

Teaching Multiple Concepts to a Forgetful LearnerPreprint

Hunziker, A., Chen, Y., Aodha, O. M., Gomez-Rodriguez, M., Krause, A., Perona, P., Yue, Y., & Singla, A. K. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1805.08322 · Cited by 25

Climate and ecology predict latitudinal trends in sexual selection inferred from avian mating systems

Barber, R. A., Yang, J., Yang, C., Barker, O., Janicke, T., & Tobias, J. A. (2024) · PLoS Biology · doi:10.1371/journal.pbio.3002856 · Cited by 23

Collaborative Problem Solving in an Open-Ended Scientific Discovery Game

Bauer, A., & Popović, Z. (2017) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3134657 · Cited by 28

Benchmark Bird Surveys Help Quantify Counting Accuracy in a Citizen-Science Database

Robinson, W. D., Hallman, T. A., & Hutchinson, R. (2021) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2021.568278 · Cited by 24

Challenges and benefits of using unstructured citizen science data to estimate seasonal timing of bird migration across large scales

Weisshaupt, N., Lehikoinen, A. S., Mäkinen, T., & Koistinen, J. (2021) · PLoS ONE · doi:10.1371/journal.pone.0246572 · Cited by 24

Dietary Compositions and Their Seasonal Shifts in Japanese Resident Birds, Estimated from the Analysis of Volunteer Monitoring Data

Yoshikawa, T., & Osada, Y. (2015) · PLoS ONE · doi:10.1371/journal.pone.0119324 · Cited by 24

eBirding

Wiggins, A. (2011) · iConference · doi:10.1145/1940761.1940910 · Cited by 24

Molecular data and distribution dynamics indicate a recent and incomplete separation of manakins species of the genus Antilophia (Aves: Pipridae) in response to Holocene climate change

Luna, L. W., Souza, T. O., Carneiro, L. S., Silva, W. A. D. G. E., Schneider, H., Sampaio, I., Araripe, J., & do Rêgo, P. S. (2017) · Journal of Avian Biology · doi:10.1111/jav.01378 · Cited by 24

Distribution models using semi-structured community science data outperform unstructured-data models for a data-poor species, the Plain Tyrannulet

Gorleri, F. C., Hochachka, W. M., & Areta, J. I. (2021) · Ornithological Applications · doi:10.1093/ornithapp/duab038 · Cited by 23

BirdNET can be as good as experts for acoustic bird monitoring in a European city

Fairbairn, A. J., Burmeister, J.-S., Weisser, W. W., & Meyer, S. T. (2025) · PLoS ONE · doi:10.1371/journal.pone.0330836 · Cited by 23

Social signals as design interventions for enhancing citizen science contributions

Diner, D., Nakayama, S., Nov, O., & Porfiri, M. (2017) · Information Communication & Society · doi:10.1080/1369118x.2017.1299779 · Cited by 24

Fall migratory departure decisions and routes of blackpoll warblers Setophaga striata and red‐eyed vireos Vireo olivaceus at a coastal barrier in the Gulf of Maine

Smetzer, J., King, D. I., & Taylor, P. D. (2017) · Journal of Avian Biology · doi:10.1111/jav.01450 · Cited by 23

The persistent multi-dimensional biases of biodiversity digital accessible knowledge of birds in China

Huang, X., Lin, C., & Ji, L. (2020) · Biodiversity and Conservation · doi:10.1007/s10531-020-02024-3 · Cited by 25

Combining citizen science and weather radar data to study large‐scale bird movements

Weisshaupt, N., Lehtiniemi, T., & Koistinen, J. (2020) · Ibis · doi:10.1111/ibi.12906 · Cited by 23

Using citizen science to parse climatic and land cover influences on bird occupancy in a tropical biodiversity hotspot

Ramesh, V., Gupte, P. R., Tingley, M. W., Robin, V. V., & DeFries, R. (2022) · Ecography · doi:10.1111/ecog.06075 · Cited by 23

System: A core conceptual modeling construct for capturing complexity

Lukyanenko, R., Storey, V. C., & Pastor, Ó. (2022) · Data & Knowledge Engineering · doi:10.1016/j.datak.2022.102062 · Cited by 24

Deep learning with citizen science data enables estimation of species diversity and composition at continental extents

Davis, C. L., Bai, Y., Chen, D., Robinson, O. J., Ruiz‐Gutiérrez, V., Gomes, C. P., & Fink, D. (2023) · Ecology · doi:10.1002/ecy.4175 · Cited by 30

Developing a Workflow to Identify Inconsistencies in Volunteered Geographic Information: A Phenological Case Study

Mehdipoor, H., Zurita‐Milla, R., Rosemartin, A., Gerst, K. L., & Weltzin, J. F. (2015) · PLoS ONE · doi:10.1371/journal.pone.0140811 · Cited by 24

Future geographic patterns of novel and disappearing assemblages across three dimensions of diversity: A case study with Ecuadorian hummingbirds

Graham, L., Weinstein, B. G., Supp, S. R., & Graham, C. H. (2017) · Diversity and Distributions · doi:10.1111/ddi.12587 · Cited by 23

Quantifying the degree of bias from using county‐scale data in species distribution modeling: Can increasing sample size or using county‐averaged environmental data reduce distributional overprediction?

Collins, S. D., Abbott, J. C., & McIntyre, N. E. (2017) · Ecology and Evolution · doi:10.1002/ece3.3115 · Cited by 23

A Framework for Simultaneous Tests of Abiotic, Biotic, and Historical Drivers of Species Distributions: Empirical Tests for North American Wood Warblers Based on Climate and Pollen

Sanín, C., & Anderson, R. P. (2018) · The American Naturalist · doi:10.1086/697537 · Cited by 23

Climatic niche of the Saker Falcon Falco cherrug : predicted new areas to direct population surveys in Central Asia

Sutton, L. J., & Puschendorf, R. (2018) · Ibis · doi:10.1111/ibi.12700 · Cited by 23

Patterns in island endemic forest-dependent bird research: the Caribbean as a case-study

Devenish‐Nelson, E. S., Weidemann, D. E., Townsend, J. M., & Nelson, H. P. (2019) · Biodiversity and Conservation · doi:10.1007/s10531-019-01768-x · Cited by 23

Completeness of digital accessible knowledge of the birds of western Africa: Priorities for survey

Freeman, B., & Peterson, A. T. (2019) · Ornithological Applications · doi:10.1093/condor/duz035 · Cited by 23

Defining catchment origins of a geographical bottleneck: Implications of population mixing and phenological overlap for the conservation of Neotropical migratory birds

Cárdenas-Ortíz, L., Bayly, N. J., Kardynal, K. J., & Hobson, K. A. (2020) · Ornithological Applications · doi:10.1093/condor/duaa004 · Cited by 23

An Exploratory Assessment of a Smartphone Application for Public Participation in Forest Fuels Measurement in the Wildland-Urban Interface

Ferster, C., Coops, N. C., Harshaw, H. W., Kozak, R. A., & Meitner, M. J. (2013) · Forests · doi:10.3390/f4041199 · Cited by 23

A case study comparing citizen science aurora data with global auroral boundaries derived from satellite imagery and empirical models

Kosar, B., MacDonald, E. A., Case, N., Zhang, Y., Mitchell, E. J., & Viereck, R. A. (2018) · Journal of Atmospheric and Solar-Terrestrial Physics · doi:10.1016/j.jastp.2018.05.006 · Cited by 22

Priority sites and conservation gaps of wintering waterbirds in the Yangtze River floodplain

Xia, S., Yu, X., Lei, J., Hearn, R. D., Smith, B., Lei, G., & Xie, P. (2020) · Journal of Geographical Sciences · doi:10.1007/s11442-020-1803-y · Cited by 22

Improving sustainability of long-term amphibian monitoring: The value of collaboration and community science for indicator species management

Estes‐Zumpf, W. A., Addis, B. R., Marsicek, B., Lee, M., Nelson, Z., & Murphy, M. A. (2021) · Ecological Indicators · doi:10.1016/j.ecolind.2021.108451 · Cited by 22

Latitudinal but not elevational variation in blood glucose level is linked to life history across passerine birds

Tomášek, O., Bobek, L., Kauzálová, T., Kauzál, O., Adámková, M., Horák, K., Kumar, S. A., Pouadjeu, J. M., Munclinger, P., Nana, E. D., et al. (2022) · Ecology Letters · doi:10.1111/ele.14097 · Cited by 22

Prey resources are equally important as climatic conditions for predicting the distribution of a broad‐ranged apex predator

Sutton, L. J., Anderson, D. L., Franco, M., McClure, C. J. W., Miranda, E. B. P., Vargas, F. H., González, J. D. J. V., & Puschendorf, R. (2023) · Diversity and Distributions · doi:10.1111/ddi.13684 · Cited by 22

PointedSDMs: An R package to help facilitate the construction of integrated species distribution models

Mostert, P. S., & O’Hara, R. B. (2023) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.14091 · Cited by 22

eBird: Curating Citizen Science Data for Use by Diverse Communities

Lagoze, C. (2014) · International Journal of Digital Curation · doi:10.2218/ijdc.v9i1.302 · Cited by 32

L’infrastructure de la science citoyenne : le cas eBird

Paniagua, A. (2016) · doi:10.71781/12699

The eBird enterprise: An integrated approach to development and application of citizen science

Sullivan, B. L., Aycrigg, J. L., Barry, J. H., Bonney, R. E., Bruns, N., Cooper, C. B., Damoulas, T., Dhondt, A. A., Dietterich, T. G., Farnsworth, A., et al. (2013) · Biological Conservation · doi:10.1016/j.biocon.2013.11.003 · Cited by 1,226

eBird: una plataforma integral de ciencia ciudadana para conocer y conservar nuestra avifauna

Gorleri, F. C., & Taboas, F. G. (2017) · El Servicio de Difusión de la Creación Intelectual (National University of La Plata) · Cited by 1

eBird: Engaging Birders in Science and Conservation

Wood, C., Sullivan, B. L., Iliff, M. J., Fink, D., & Kelling, S. (2011) · PLoS Biology · doi:10.1371/journal.pbio.1001220 · Cited by 272