Jamie M. Kass

4.9k citations
40 papers · 2.9k indexed · 2 hit papers · h-index 17
Topics
Species Distribution and Climate Change (28 papers)Wildlife Ecology and Conservation (16 papers)Ecology and Vegetation Dynamics Studies (15 papers)

In The Last Decade

Jamie M. Kass

37 papers receiving 2.9k citations

Hit Papers

ENMeval: An R package for conducting spatially independen...20142026201820222014202150010001.5k

Peers

Jamie M. Kass
Comparison fields: 5 of 103
  • Ecological Modeling 2.0k
  • Ecology 1.4k
  • Nature and Landscape Conservation 829
  • Ecology, Evolution, Behavior and Systematics 711
  • Genetics 570
Replace Vijay Barve with:
Vijay Barve United States
Aleksandar Radosavljević United States
Bruno Vilela Brazil
Peter J. Galante United States
Mariano Soley‐Guardia United States
Sean P. Maher United States
Jan O. Engler Germany
Huijie Qiao China
Narayani Barve United States
Rubén G. Mateo Spain
Jamie M. Kass relative to Vijay Barve United States Vijay Barve's profile →
Citations per field
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Vijay Barve · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 7
2 1
3 5
4 51
5 15
6 3
7 16
8 16
9 13
10 0
11
ENMeval 2.0: Redesigned for customizable and reproducible modeling of species’ niches and distributionsbreakdown →
430
12 56
13 42
14 107
15 17
16 28
17 61
18 54
19 18
20 17

About Jamie M. Kass

Jamie M. Kass is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology, having authored 40 papers that have together received 2.9k indexed citations. Recurring topics across this work include Species Distribution and Climate Change (28 papers), Wildlife Ecology and Conservation (16 papers) and Ecology and Vegetation Dynamics Studies (15 papers). The work is most often cited by research in Ecological Modeling (2.0k citations), Nature and Landscape Conservation (829 citations) and Ecology (1.4k citations). Jamie M. Kass has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Robert P. Anderson, Robert Muscarella, Peter J. Galante, Robert A. Boria, Mariano Soley‐Guardia, María Uriarte, Gonzalo E. Pinilla‐Buitrago, Cory Merow, Matthew E. Aiello‐Lammens and Lázaro Guevara. Their work appears in journals such as Nature Communications, Trends in Ecology & Evolution and Global Change Biology.

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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