Steve Kelling

11.7k total citations · 3 hit papers
64 papers, 6.7k citations indexed

About

Steve Kelling is a scholar working on Ecological Modeling, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Steve Kelling has authored 64 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Ecological Modeling, 34 papers in Ecology and 19 papers in Nature and Landscape Conservation. Recurrent topics in Steve Kelling's work include Species Distribution and Climate Change (50 papers), Wildlife Ecology and Conservation (21 papers) and Ecology and Vegetation Dynamics Studies (18 papers). Steve Kelling is often cited by papers focused on Species Distribution and Climate Change (50 papers), Wildlife Ecology and Conservation (21 papers) and Ecology and Vegetation Dynamics Studies (18 papers). Steve Kelling collaborates with scholars based in United States, United Kingdom and France. Steve Kelling's co-authors include Daniel Fink, Rick Bonney, Wesley M. Hochachka, Brian L. Sullivan, Marshall J. Iliff, Kenneth V. Rosenberg, Christopher Wood, Tina Phillips, Janis L. Dickinson and Jennifer Shirk and has published in prestigious journals such as PLoS ONE, Trends in Ecology & Evolution and Ecology.

In The Last Decade

Steve Kelling

61 papers receiving 6.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Citizen Science: A Developing Tool for Expanding Science Knowledge and Scientific Literacy

2009 1.6k citations Steve Kelling, Kenneth V. Rosenberg et al. profile →
eBird: A citizen-based bird observation network in the biological sciences

2009 1.3k citations Brian L. Sullivan, Christopher Wood et al. profile →
Analytical guidelines to increase the value of community science data: An example using eBird data to estimate species distributions

2021 181 citations Alison Johnston, Wesley M. Hochachka et al. Diversity and Distributions profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Steve Kelling United States	33	3.7k	3.3k	1.4k	991	841	64	6.7k
Kenneth V. Rosenberg United States	32	2.3k 0.6×	3.5k 1.1×	1.6k 1.1×	1.1k 1.1×	950 1.1×	85	5.9k
Caren B. Cooper United States	35	2.2k 0.6×	2.1k 0.7×	793 0.6×	876 0.9×	1.0k 1.2×	88	6.0k
Janis L. Dickinson United States	33	2.9k 0.8×	3.1k 0.9×	1.1k 0.7×	970 1.0×	2.5k 2.9×	85	7.8k
David N. Bonter United States	23	1.8k 0.5×	2.1k 0.6×	788 0.5×	663 0.7×	890 1.1×	56	4.0k
Benjamin Zuckerberg United States	34	2.9k 0.8×	3.2k 1.0×	1.6k 1.1×	1.1k 1.1×	1.1k 1.3×	129	5.3k
Julia K. Parrish United States	33	1.4k 0.4×	2.2k 0.7×	956 0.7×	1.5k 1.6×	1.1k 1.2×	90	6.3k
Rick Bonney United States	25	5.3k 1.4×	2.9k 0.9×	1.3k 0.9×	1.3k 1.3×	1.1k 1.3×	34	10.1k
Wesley M. Hochachka United States	50	2.8k 0.7×	4.6k 1.4×	1.7k 1.2×	1.1k 1.1×	2.0k 2.4×	125	7.5k
Tina Phillips United States	19	3.7k 1.0×	1.7k 0.5×	636 0.4×	912 0.9×	568 0.7×	31	7.2k
Abraham J. Miller‐Rushing United States	39	4.1k 1.1×	2.7k 0.8×	2.5k 1.7×	1.6k 1.6×	3.0k 3.6×	78	7.7k

Countries citing papers authored by Steve Kelling

Since Specialization

Citations

This map shows the geographic impact of Steve Kelling's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Steve Kelling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Kelling more than expected).

Fields of papers citing papers by Steve Kelling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve Kelling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Steve Kelling. The network helps show where Steve Kelling may publish in the future.

Co-authorship network of co-authors of Steve Kelling

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Kelling. A scholar is included among the top collaborators of Steve Kelling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steve Kelling. Steve Kelling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fink, Daniel, Alison Johnston, Matthew Strimas‐Mackey, et al.. (2023). A Double machine learning trend model for citizen science data. Methods in Ecology and Evolution. 14(9). 2435–2448. 29 indexed citations

Johnston, Alison, Wesley M. Hochachka, Matthew Strimas‐Mackey, et al.. (2021). Analytical guidelines to increase the value of community science data: An example using eBird data to estimate species distributions. Diversity and Distributions. 27(7). 1265–1277. 181 indexed citations breakdown →

Johnston, Alison, Tom Auer, Daniel Fink, et al.. (2019). Comparing abundance distributions and range maps in spatial conservation planning for migratory species. Ecological Applications. 30(3). 24 indexed citations

Lostanlen, Vincent, Justin Salamon, Andrew Farnsworth, Steve Kelling, & Juan Pablo Bello. (2019). Robust sound event detection in bioacoustic sensor networks. PLoS ONE. 14(10). e0214168–e0214168. 59 indexed citations

Fink, Daniel, Tom Auer, Alison Johnston, et al.. (2019). Modeling avian full annual cycle distribution and population trends with citizen science data. Ecological Applications. 30(3). e02056–e02056. 147 indexed citations

Lostanlen, Vincent, Justin Salamon, Mark Cartwright, et al.. (2018). Per-Channel Energy Normalization: Why and How. IEEE Signal Processing Letters. 26(1). 39–43. 54 indexed citations

Dokter, Adriaan M., Andrew Farnsworth, Daniel Fink, et al.. (2018). Seasonal abundance and survival of North America’s migratory avifauna determined by weather radar. Nature Ecology & Evolution. 2(10). 1603–1609. 136 indexed citations

Kelling, Steve. (2018). Technology Developments for Biodiversity Monitoring and Conservation. Biodiversity Information Science and Standards. 2. e25833–e25833. 3 indexed citations

Johnston, Alison, Daniel Fink, Wesley M. Hochachka, & Steve Kelling. (2017). Estimates of observer expertise improve species distributions from citizen science data. Methods in Ecology and Evolution. 9(1). 88–97. 138 indexed citations

10.

Zuckerberg, Benjamin, Daniel Fink, Frank A. La Sorte, Wesley M. Hochachka, & Steve Kelling. (2016). Novel seasonal land cover associations for eastern North American forest birds identified through dynamic species distribution modelling. Diversity and Distributions. 22(6). 717–730. 98 indexed citations

11.

Salamon, Justin, Juan Pablo Bello, Andrew Farnsworth, et al.. (2016). Towards the Automatic Classification of Avian Flight Calls for Bioacoustic Monitoring. PLoS ONE. 11(11). e0166866–e0166866. 72 indexed citations

12.

Shamoun‐Baranes, Judy, Andrew Farnsworth, José A. Alves, et al.. (2016). Innovative Visualizations Shed Light on Avian Nocturnal Migration. PLoS ONE. 11(8). e0160106–e0160106. 14 indexed citations

13.

Kelling, Steve, Alison Johnston, Wesley M. Hochachka, et al.. (2015). Can Observation Skills of Citizen Scientists Be Estimated Using Species Accumulation Curves?. PLoS ONE. 10(10). e0139600–e0139600. 118 indexed citations

14.

Kelling, Steve, Daniel Fink, Frank A. La Sorte, et al.. (2015). Taking a ‘Big Data’ approach to data quality in a citizen science project. AMBIO. 44(S4). 601–611. 135 indexed citations

15.

Kelling, Steve, Jeff Gerbracht, Daniel Fink, et al.. (2012). eBird: A Human/Computer Learning Network for Biodiversity Conservation and Research. Proceedings of the AAAI Conference on Artificial Intelligence. 26(2). 2229–2236. 21 indexed citations

16.

Ferreira, Nivan, Lauro Lins, Daniel Fink, et al.. (2011). BirdVis: Visualizing and Understanding Bird Populations. IEEE Transactions on Visualization and Computer Graphics. 17(12). 2374–2383. 49 indexed citations

17.

Wood, Chris M., Brian L. Sullivan, Marshall J. Iliff, Daniel Fink, & Steve Kelling. (2011). eBird: Engaging Birders in Science and Conservation. PLoS Biology. 9(12). e1001220–e1001220. 190 indexed citations

18.

Sullivan, Brian L., Marshall J. Iliff, Christopher Wood, Daniel Fink, & Steve Kelling. (2010). eBird—Using citizen-science data to help solve real-world conservation challenges (Invited). AGUFM. 2010. 1 indexed citations

19.

Fink, Daniel, Wesley M. Hochachka, Benjamin Zuckerberg, et al.. (2010). Spatiotemporal exploratory models for broad‐scale survey data. Ecological Applications. 20(8). 2131–2147. 193 indexed citations

20.

Hochachka, Wesley M., Rich Caruana, Daniel Fink, et al.. (2007). Data‐Mining Discovery of Pattern and Process in Ecological Systems. Journal of Wildlife Management. 71(7). 2427–2437. 124 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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