Jennifer E. Davison

428 citations
6 papers · 207 · h-index 6

Impact in

Papers in

Jennifer E. Davison

6 papers receiving 189 citations

Peers

Jennifer E. Davison
Comparison fields: 5 of 38
  • Ecological Modeling 113
  • Global and Planetary Change 112
  • Nature and Landscape Conservation 61
  • Ecology 110
  • Ecology, Evolution, Behavior and Systematics 31
Replace Tim Thom with:
Tim Thom United Kingdom
Stanley E. Senner United States
Jacqueline Oehri Switzerland
Martin Friedrichs‐Manthey Germany
M. Clay Green United States
Thomas J. Löffler Switzerland
Andrew Allyn United States
Seppo Tuominen Finland
Maureen D. Correll United States
Sanjay Tomar India
Jennifer E. Davison relative to Tim Thom United Kingdom Tim Thom's profile →
Citations per field
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Tim Thom · 1×
Citations per year

Countries citing papers authored by Jennifer E. Davison

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer E. Davison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer E. Davison. 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 Jennifer E. Davison. The network helps show where Jennifer E. Davison may publish in the future.

Co-authors

The 13 scholars most cited alongside Jennifer E. Davison, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jennifer E. Davison Line = papers co-authored together Jennifer E. Davison links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Jennifer E. Davison

Jennifer E. Davison is a scholar working on Ecological Modeling, Nature and Landscape Conservation, Global and Planetary Change, Ecology and Computer Networks and Communications, having authored 6 papers that have together received 207 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (5 papers), Ecology and Vegetation Dynamics Studies (4 papers), Remote Sensing in Agriculture (2 papers), Fire effects on ecosystems (1 paper), Scientific Computing and Data Management (1 paper), Plant and animal studies (1 paper), Computational Physics and Python Applications (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Ecological Modeling (113 citations), Global and Planetary Change (112 citations), Nature and Landscape Conservation (61 citations), Ecology (110 citations) and Ecology, Evolution, Behavior and Systematics (31 citations). Jennifer E. Davison has collaborated with scholars based in United States. Frequent co-authors include Erika Rowland, Lisa J. Graumlich, Willem van Leeuwen, Grant M. Casady, Stuart E. Marsh, David D. Breshears, Steve C. Hankin, D. E. Harrison, Kevin O’Brien and James M. Osborne. Their work appears in journals such as Biodiversity and Conservation, Remote Sensing, Environmental Management, Global Ecology and Biogeography and Global Environmental Change.

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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