Justin Kitzes

6.6k total citations
63 papers, 2.6k citations indexed

About

Justin Kitzes is a scholar working on Ecology, Developmental Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Justin Kitzes has authored 63 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Ecology, 20 papers in Developmental Biology and 15 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Justin Kitzes's work include Animal Vocal Communication and Behavior (20 papers), Wildlife Ecology and Conservation (18 papers) and Species Distribution and Climate Change (15 papers). Justin Kitzes is often cited by papers focused on Animal Vocal Communication and Behavior (20 papers), Wildlife Ecology and Conservation (18 papers) and Species Distribution and Climate Change (15 papers). Justin Kitzes collaborates with scholars based in United States, United Kingdom and Italy. Justin Kitzes's co-authors include Mathis Wackernagel, Steven H. Goldfinger, Daniel Moran, Alessandro Galli, Albert Bleeker, R.A. Kohn, Allison M. Leach, James N. Galloway, Jan Willem Erisman and Aurélien Boutaud and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Trends in Ecology & Evolution.

In The Last Decade

Justin Kitzes

59 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Justin Kitzes United States	23	1.0k	787	611	384	357	63	2.6k
Claudia Stickler United States	20	338 0.3×	967 1.2×	757 1.2×	417 1.1×	2.6k 7.3×	32	4.1k
Guangyu Wang Canada	32	537 0.5×	980 1.2×	176 0.3×	446 1.2×	2.1k 6.0×	183	4.0k
Sean Sloan Australia	37	293 0.3×	2.1k 2.6×	395 0.6×	392 1.0×	2.6k 7.3×	67	4.5k
Luca Coscieme Italy	22	466 0.4×	384 0.5×	344 0.6×	372 1.0×	625 1.8×	53	1.9k
James Gibbons United Kingdom	27	237 0.2×	807 1.0×	432 0.7×	289 0.8×	750 2.1×	71	2.3k
Jonathan Loh United Kingdom	14	347 0.3×	887 1.1×	342 0.6×	398 1.0×	700 2.0×	18	2.3k
Ulla Mörtberg Sweden	29	332 0.3×	719 0.9×	169 0.3×	437 1.1×	1.2k 3.4×	68	2.3k
Biljana Macura Sweden	20	177 0.2×	473 0.6×	231 0.4×	417 1.1×	644 1.8×	50	2.6k
Margaret Skutsch Mexico	32	459 0.4×	654 0.8×	635 1.0×	239 0.6×	1.9k 5.5×	124	3.1k
Luis Dı́az-Balteiro Spain	26	222 0.2×	221 0.3×	513 0.8×	232 0.6×	1.2k 3.2×	98	2.4k

Countries citing papers authored by Justin Kitzes

Since Specialization

Citations

This map shows the geographic impact of Justin Kitzes'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 Justin Kitzes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Kitzes more than expected).

Fields of papers citing papers by Justin Kitzes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin Kitzes. 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 Justin Kitzes. The network helps show where Justin Kitzes may publish in the future.

Co-authorship network of co-authors of Justin Kitzes

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Kitzes. A scholar is included among the top collaborators of Justin Kitzes 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 Justin Kitzes. Justin Kitzes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

McNeil, Darin J., et al.. (2026). Addressing widespread detection heterogeneity in avian occupancy modeling using passive acoustic surveys. Ornithological applications. 1 indexed citations

Kitzes, Justin, et al.. (2025). Integrating AI models into ecological research workflows: The case of terrestrial bioacoustics. Methods in Ecology and Evolution. 17(2). 257–271. 1 indexed citations

Knight, Elly C., Steven L. Van Wilgenburg, David T. Iles, et al.. (2025). Insights into detection probability of forest bird surveys from comparison of in-person and passive acoustic monitoring point counts. Ornithological applications. 2 indexed citations

Pollock, Laura J., Justin Kitzes, Sara Beery, et al.. (2025). Harnessing artificial intelligence to fill global shortfalls in biodiversity knowledge. Edinburgh Research Explorer. 1(3). 166–182. 9 indexed citations

Larkin, Jeffery L., et al.. (2025). Passive acoustic monitoring paired with dynamic occupancy models indicates benefits of even-aged forest management for Wood Thrush. Forest Ecology and Management. 595. 122974–122974. 1 indexed citations

Goodman, Bernard A., et al.. (2025). Humans outperform Merlin Sound ID in field-based point-count surveys. Ornithological applications. 127(4). 1–8. 1 indexed citations

Miao, Zhongqi, Benjamin Elizalde, Soham Deshmukh, et al.. (2025). Multi-modal Language models in bioacoustics with zero-shot transfer: a case study. Scientific Reports. 15(1). 7242–7242. 3 indexed citations

Snaddon, Jake L., et al.. (2025). A comparison of statistical methods for deriving occupancy estimates from machine learning outputs. Scientific Reports. 15(1). 14700–14700.

Larkin, Jeffery L., et al.. (2024). Evaluating the predictors of habitat use and successful reproduction in a model bird species using a large‐scale automated acoustic array. Ecography. 2025(3). 10 indexed citations

10.

Cohen, Jonathan B., et al.. (2024). Performance of unmarked abundance models with data from machine‐learning classification of passive acoustic recordings. Ecosphere. 15(8). 6 indexed citations

11.

Knight, Elly C., Devin R. de Zwaan, Mark Cartwright, et al.. (2024). Individual identification in acoustic recordings. Trends in Ecology & Evolution. 39(10). 947–960. 11 indexed citations

12.

McNeil, Darin J., Michael E. Akresh, Emily B. Cohen, et al.. (2024). A large-scale assessment of eastern whip-poor-will (Antrostomus vociferus) occupancy across a gradient of forest management intensity using autonomous recording units. Journal of Environmental Management. 366. 121786–121786. 8 indexed citations

13.

Larkin, Jeffery L., et al.. (2024). Uncovering Breeding Habitat Use of an Uncommon Songbird in Pennsylvania Using Large Scale Acoustic Data. SHILAP Revista de lepidopterología. 2(4). 169–178.

14.

Dawson, Todd E., et al.. (2024). Influence of microclimate and forest management on bat species faced with global change. Conservation Biology. 38(4). e14246–e14246. 4 indexed citations

15.

Young, Kyle A., et al.. (2023). Aggregation of symbionts on hosts depends on interaction type and host traits. Ecography. 2024(10). 3 indexed citations

16.

Kitzes, Justin, Rachael E. Blake, Sara Bombaci, et al.. (2021). Expanding NEON biodiversity surveys with new instrumentation and machine learning approaches. Ecosphere. 12(11). 7 indexed citations

17.

McGlinn, Daniel J., Xiao Xiao, Justin Kitzes, & Ethan P. White. (2015). Exploring the spatially explicit predictions of the Maximum Entropy Theory of Ecology. Global Ecology and Biogeography. 24(6). 675–684. 11 indexed citations

18.

Kitzes, Justin & Rebekah Shirley. (2015). Estimating biodiversity impacts without field surveys: A case study in northern Borneo. AMBIO. 45(1). 110–119. 12 indexed citations

19.

Harte, John & Justin Kitzes. (2015). Inferring Regional-Scale Species Diversity from Small-Plot Censuses. PLoS ONE. 10(2). e0117527–e0117527. 17 indexed citations

20.

Kitzes, Justin, et al.. (2007). Current Methods for Calculating National Ecological Footprint Accounts 【特集論文エコロジカル・フットプリント指標の現状と課題】. 4(1). 1–9. 1 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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