Daniel C. Barton

468 citations
12 papers · 346 · h-index 8

Impact in

Papers in

    • Wildlife Ecology and Conservation 7
    • Avian ecology and behavior 6
    • Rangeland and Wildlife Management 3
    • Animal Ecology and Behavior Studies 1
    • Fish Ecology and Management Studies 2

Daniel C. Barton

12 papers receiving 331 citations

Peers

Daniel C. Barton
Comparison fields: 5 of 79
  • Ecological Modeling 45
  • Developmental Biology 20
  • Ecology 215
  • Ecology, Evolution, Behavior and Systematics 112
  • Nature and Landscape Conservation 62
Replace Adam P. A. Cardilini with:
Adam P. A. Cardilini Australia
George Middendorf United States
Bryon K. Clark United States
Anne V. Newton United Kingdom
Stepfanie M. Aguillon United States
David E. Blockstein United States
Murielle Ålund Sweden
Alexander K. Killion United States
Sophia Kimmig Germany
Rachel Bristol United Kingdom
Daniel C. Barton relative to Adam P. A. Cardilini Australia Adam P. A. Cardilini's profile →
Citations per field
00.5×1.5×2.4×
Adam P. A. Cardilini · 1×
Citations per year

Countries citing papers authored by Daniel C. Barton

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Barton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel C. Barton, 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 C. Barton Line = papers co-authored together Daniel C. Barton links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2011116
2 202094
3 200353
4 201526
5 200719
6 201711
7 20179
8 20218
9 20214
10 20224
11 20031
12 20221

About Daniel C. Barton

Daniel C. Barton is a scholar working on Ecology, Nature and Landscape Conservation, Ecological Modeling, Ecology, Evolution, Behavior and Systematics and Oceanography, having authored 12 papers that have together received 346 indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (7 papers), Avian ecology and behavior (6 papers), Species Distribution and Climate Change (3 papers), Rangeland and Wildlife Management (3 papers), Fish Ecology and Management Studies (2 papers), Animal Vocal Communication and Behavior (1 paper), Online and Blended Learning (1 paper) and Animal Ecology and Behavior Studies (1 paper). The work is most often cited by research in Ecological Modeling (45 citations), Developmental Biology (20 citations), Ecology (215 citations), Ecology, Evolution, Behavior and Systematics (112 citations) and Nature and Landscape Conservation (62 citations). Daniel C. Barton has collaborated with scholars based in United States, Norway and South Africa. Frequent co-authors include Thomas E. Martin, Carlos Bosque, Penn Lloyd, Riccardo Ton, Thomas Gardali, Geoffrey R. Geupel, Jennifer Duffield White, Aaron L. Holmes, Peter Njoroge and Matthew D. Johnson. Their work appears in journals such as The Auk, Journal of Wildlife Management, Ecosphere, Global Ecology and Conservation and Ecology and Evolution.

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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