Christopher Cogan

441 citations
13 papers · 319 · h-index 8

Impact in

    • Species Distribution and Climate Change
  • Ecology top 10%
    • Wildlife Ecology and Conservation
    • Coral and Marine Ecosystems Studies
    • Marine animal studies overview

Papers in

Christopher Cogan

11 papers receiving 282 citations

Peers

Christopher Cogan
Comparison fields: 5 of 73
  • Ecological Modeling 62
  • Ecology 159
  • Oceanography 72
  • Global and Planetary Change 94
  • Nature and Landscape Conservation 52
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Citations per year

Countries citing papers authored by Christopher Cogan

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Cogan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Christopher Cogan, 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 Christopher Cogan Line = papers co-authored together Christopher Cogan links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2009110
2
Sensitivity of wildlife habitat models to uncertainties in GIS data
199280
3 201635
4 201727
5 199321
6 201620
7 20198
8 20128
9
Applications of Urban Growth Models and Wildlife Habitat Models to Assess Biodiversity Losses
20014
10
Macrophyte monitoring by hyperspectral remote sensing and ground based biotope mapping - a tool to assist the monitoring demands of the EU-water frame work directive?
20052
11
Biodiversity conflict analysis at multiple spatial scales
20022
12 20161
13
Biodiversity predictions: Integrating urban growth models with land cover data and species habitat information
20011

About Christopher Cogan

Christopher Cogan is a scholar working on Ecology, Global and Planetary Change, Ecological Modeling, Experimental and Cognitive Psychology and Safety Research, having authored 13 papers that have together received 319 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (3 papers), Wildlife Ecology and Conservation (3 papers), Land Use and Ecosystem Services (3 papers), Career Development and Diversity (2 papers), Education, Achievement, and Giftedness (2 papers), Wildlife-Road Interactions and Conservation (2 papers), Educational Strategies and Epistemologies (2 papers) and Environmental Conservation and Management (1 paper). The work is most often cited by research in Ecological Modeling (62 citations), Ecology (159 citations), Oceanography (72 citations), Global and Planetary Change (94 citations) and Nature and Landscape Conservation (52 citations). Christopher Cogan has collaborated with scholars based in United States and Canada. Frequent co-authors include Frank W. Davis, David M. Stoms, B J Todd, Thomas T. Noji, Peter Lawton, Edward B. Nuhfer, Karl Wirth, Brean W. Duncan, Marco Paìnho and Anya Goodman. Their work appears in journals such as Photogrammetric Engineering & Remote Sensing, ICES Journal of Marine Science, Conservation Biology, Journal of Microbiology and Biology Education and Numeracy.

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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