Jamie M. Kass

4.9k total citations · 2 hit papers
40 papers, 2.9k citations indexed

About

Jamie M. Kass is a scholar working on Ecological Modeling, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Jamie M. Kass has authored 40 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Ecological Modeling, 18 papers in Ecology and 16 papers in Nature and Landscape Conservation. Recurrent topics in Jamie M. Kass's work include Species Distribution and Climate Change (28 papers), Wildlife Ecology and Conservation (16 papers) and Ecology and Vegetation Dynamics Studies (15 papers). Jamie M. Kass is often cited by papers focused on Species Distribution and Climate Change (28 papers), Wildlife Ecology and Conservation (16 papers) and Ecology and Vegetation Dynamics Studies (15 papers). Jamie M. Kass collaborates with scholars based in United States, Japan and Germany. Jamie M. Kass's co-authors include Robert P. Anderson, Robert Muscarella, Peter J. Galante, Mariano Soley‐Guardia, Robert A. Boria, María Uriarte, Gonzalo E. Pinilla‐Buitrago, Cory Merow, Matthew E. Aiello‐Lammens and Lázaro Guevara and has published in prestigious journals such as Nature Communications, Trends in Ecology & Evolution and Global Change Biology.

In The Last Decade

Jamie M. Kass

37 papers receiving 2.9k 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.

ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models

2014 1.5k citations Robert Muscarella, Peter J. Galante et al. Methods in Ecology and Evolution profile →
ENMeval 2.0: Redesigned for customizable and reproducible modeling of species’ niches and distributions

2021 430 citations Jamie M. Kass, Robert Muscarella et al. Methods in Ecology and Evolution profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jamie M. Kass United States	17	2.0k	1.4k	829	711	570	40	2.9k
Aleksandar Radosavljević United States	8	2.1k 1.0×	1.4k 1.0×	962 1.2×	765 1.1×	538 0.9×	18	2.9k
Bruno Vilela Brazil	15	1.5k 0.7×	1.0k 0.7×	744 0.9×	696 1.0×	450 0.8×	53	2.4k
Vijay Barve United States	18	1.9k 0.9×	1.1k 0.8×	897 1.1×	709 1.0×	456 0.8×	40	2.6k
Peter J. Galante United States	9	1.6k 0.8×	1.0k 0.8×	618 0.7×	552 0.8×	431 0.8×	12	2.2k
Manuela D‘Amen Italy	21	1.5k 0.7×	1.2k 0.8×	935 1.1×	639 0.9×	438 0.8×	49	2.4k
Jan O. Engler Germany	23	1.5k 0.7×	1.2k 0.9×	818 1.0×	527 0.7×	528 0.9×	57	2.4k
Mariano Soley‐Guardia United States	7	1.5k 0.7×	988 0.7×	582 0.7×	540 0.8×	408 0.7×	9	2.1k
Narayani Barve United States	21	2.7k 1.3×	1.7k 1.2×	1.4k 1.7×	1.0k 1.4×	689 1.2×	47	4.0k
Sean P. Maher United States	14	1.5k 0.7×	1.1k 0.8×	831 1.0×	561 0.8×	421 0.7×	20	2.4k
Rubén G. Mateo Spain	24	1.5k 0.8×	1.0k 0.7×	910 1.1×	916 1.3×	449 0.8×	55	2.5k

Countries citing papers authored by Jamie M. Kass

Since Specialization

Citations

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

Fields of papers citing papers by Jamie M. Kass

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie M. Kass. 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 Jamie M. Kass. The network helps show where Jamie M. Kass may publish in the future.

Co-authorship network of co-authors of Jamie M. Kass

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie M. Kass. A scholar is included among the top collaborators of Jamie M. Kass 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 Jamie M. Kass. Jamie M. Kass 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

Zhang, Zhixin, Jamie M. Kass, Ákos Bede‐Fazekas, et al.. (2025). Differences in predictions of marine species distribution models based on expert maps and opportunistic occurrences. Conservation Biology. 39(4). e70015–e70015. 4 indexed citations

Takeuchi, Yayoi, et al.. (2025). National‐scale terrestrial biodiversity and ecosystem monitoring with essential biodiversity variables in Japan and Finland. Ecological Research. 40(6).

Wang, Runxi, Jamie M. Kass, Chhaya Chaudhary, Evan P. Economo, & Benoît Guénard. (2024). Global biogeographic regions for ants have complex relationships with those for plants and tetrapods. Nature Communications. 15(1). 5641–5641. 7 indexed citations

Kass, Jamie M., et al.. (2024). Differences in factors determining taxon‐based and trait‐based community structures: a field test using zooplankton. Limnology and Oceanography. 70(1). 113–127. 1 indexed citations

Maitner, Brian, Jamie M. Kass, Hannah L. Owens, et al.. (2024). Code sharing in ecology and evolution increases citation rates but remains uncommon. Ecology and Evolution. 14(8). e70030–e70030. 5 indexed citations

Kass, Jamie M., Gonzalo E. Pinilla‐Buitrago, Andrea Paz, et al.. (2023). wallace 2: a shiny app for modeling species niches and distributions redesigned to facilitate expansion via module contributions. Ecography. 2023(3). 51 indexed citations

Kass, Jamie M., Masashi Yoshimura, Francisco Hita Garcia, et al.. (2023). Breakdown in seasonal dynamics of subtropical ant communities with land-cover change. Proceedings of the Royal Society B Biological Sciences. 290(2008). 20231185–20231185. 3 indexed citations

Morente‐López, Javier, Jamie M. Kass, Carlos Lara‐Romero, et al.. (2022). Linking ecological niche models and common garden experiments to predict phenotypic differentiation in stressful environments: Assessing the adaptive value of marginal populations in an alpine plant. Global Change Biology. 28(13). 4143–4162. 13 indexed citations

Kass, Jamie M., et al.. (2022). Idea paper: Improving forecasts of community composition with lightweight biodiversity monitoring across ecological and anthropogenic disturbance gradients. Ecological Research. 37(4). 466–470.

10.

Baccaro, Fabrício Beggiato, Benoît Guénard, Dan L. Warren, et al.. (2022). A large‐scale assessment of ant diversity across the Brazilian Amazon Basin: integrating geographic, ecological and morphological drivers of sampling bias. Ecography. 2022(9). 9 indexed citations

11.

Wang, Runxi, Jamie M. Kass, Féderico García, et al.. (2022). Geographic and climatic constraints on bioregionalization of European ants. Journal of Biogeography. 50(3). 503–514. 16 indexed citations

12.

Kass, Jamie M., et al.. (2021). Temporal matching of occurrence localities and forest cover data helps improve range estimates and predict climate change vulnerabilities. Global Ecology and Conservation. 27. e01569–e01569. 10 indexed citations

13.

Hu, Zi‐Min, Jamie M. Kass, Stefano Mammola, et al.. (2021). Intraspecific genetic variation matters when predicting seagrass distribution under climate change. Molecular Ecology. 30(15). 3840–3855. 42 indexed citations

14.

Owens, Hannah L., Cory Merow, Brian Maitner, et al.. (2021). occCite: Tools for querying and managing large biodiversity occurrence datasets. Ecography. 44(8). 1228–1235. 5 indexed citations

15.

Zhang, Zhixin, Jamie M. Kass, Stefano Mammola, et al.. (2021). Lineage‐level distribution models lead to more realistic climate change predictions for a threatened crayfish. Diversity and Distributions. 27(4). 684–695. 56 indexed citations

16.

Kass, Jamie M., et al.. (2020). Improving area of occupancy estimates for parapatric species using distribution models and support vector machines. Ecological Applications. 31(1). e02228–e02228. 28 indexed citations

17.

Kass, Jamie M., et al.. (2020). Co-occurrence of invasive and native carnivorans affects occupancy patterns across environmental gradients. Biological Invasions. 22(7). 2251–2266. 17 indexed citations

18.

Kass, Jamie M., et al.. (2019). Biotic predictors with phenological information improve range estimates for migrating monarch butterflies in Mexico. Ecography. 43(3). 341–352. 54 indexed citations

19.

Kass, Jamie M., et al.. (2019). A new null model approach to quantify performance and significance for ecological niche models of species distributions. Journal of Biogeography. 46(6). 1101–1111. 61 indexed citations

20.

Kass, Jamie M., Bruno Vilela, Matthew E. Aiello‐Lammens, et al.. (2017). Wallace: A flexible platform for reproducible modeling of species niches and distributions built for community expansion. Methods in Ecology and Evolution. 9(4). 1151–1156. 193 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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