Daniel R. Eacker

514 citations
14 papers · 380 · h-index 10

Impact in

  • Ecology top 5%
    • Wildlife Ecology and Conservation
    • Rangeland and Wildlife Management
    • Wildlife-Road Interactions and Conservation
    • Avian ecology and behavior
    • Remote Sensing in Agriculture
    • Marine animal studies overview

Papers in

    • Wildlife Ecology and Conservation 12
    • Rangeland and Wildlife Management 4
    • Wildlife-Road Interactions and Conservation 3
    • Remote Sensing and LiDAR Applications 1

Daniel R. Eacker

14 papers receiving 371 citations

Peers

Daniel R. Eacker
Comparison fields: 5 of 36
  • Ecology 333
  • Ecological Modeling 7
  • Nature and Landscape Conservation 22
  • Forestry 5
  • Management, Monitoring, Policy and Law 9
Replace Festus Wanderi Ihwagi with:
Festus Wanderi Ihwagi United States
Valério A. Macandza Mozambique
Ricardo Luiz Pires Boulhosa Brazil
Cristina Mata Spain
Audrey Ipavec United Kingdom
Nathan Gichohi Kenya
Linda C. Zeigenfuss United States
Brendan A. Oates United States
Ángel Arredondo Spain
Tom A. Diserens Poland
Daniel R. Eacker relative to Festus Wanderi Ihwagi United States Festus Wanderi Ihwagi's profile →
Citations per field
00.5×2×3×3.9×
Festus Wanderi Ihwagi · 1×
Citations per year

Countries citing papers authored by Daniel R. Eacker

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Eacker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Eacker. 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 Daniel R. Eacker. The network helps show where Daniel R. Eacker may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2019104
2 201854
3 201742
4 201635
5 201829
6 202124
7 201821
8 202021
9 202015
10 202213
11 202310
12 20206
13 20195
14 20181

About Daniel R. Eacker

Daniel R. Eacker is a scholar working on Ecology, Environmental Engineering, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 14 papers that have together received 380 indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (12 papers), Rangeland and Wildlife Management (4 papers), Wildlife-Road Interactions and Conservation (3 papers) and Remote Sensing and LiDAR Applications (1 paper). The work is most often cited by research in Ecology (333 citations), Ecological Modeling (7 citations), Nature and Landscape Conservation (22 citations), Forestry (5 citations) and Management, Monitoring, Policy and Law (9 citations). Daniel R. Eacker has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Mark Hebblewhite, Kelly M. Proffitt, Jerod A. Merkle, Matthew J. Kauffman, Patrick J.C. White, Rick Wallen, Paul F. Jones, Chris Geremia, Andrew F. Jakes and Paul M. Lukacs. Their work appears in journals such as Journal of Wildlife Management, Oikos, Forest Ecology and Management, Ecosphere and Ecological Applications.

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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