Scott McFarland

825 citations
2 papers · 590 · 1 hit paper · h-index 2

Impact in

    • Animal Vocal Communication and Behavior
  • Ecology top 5%
    • Marine animal studies overview
    • Wildlife Ecology and Conservation
    • Wildlife-Road Interactions and Conservation

Papers in

Scott McFarland

2 papers receiving 580 citations

Scott McFarland's Hit Papers

A synthesis of two decades of research documenting the effects of noise on wildlife 2015 · 588 citations
5880+3+7Years since publication100200300400500

Peers

Scott McFarland
Comparison fields: 5 of 58
  • Developmental Biology 399
  • Ecology 482
  • Speech and Hearing 81
  • Ecology, Evolution, Behavior and Systematics 207
  • Oceanography 67
Replace Misty Nelson with:
Misty Nelson United States
Caitlin R. Kight United Kingdom
Jessica Briggs United States
Emma Brown United States
Rouven Schmidt Germany
Nathan J. Kleist United States
Jennifer B. Tennessen United States
Tom Bradfer‐Lawrence United Kingdom
Marina H. L. Duarte Brazil
J. Sueur France
Scott McFarland relative to Misty Nelson United States Misty Nelson's profile →
Citations per field
00.5×1.5×
Misty Nelson · 1×
Citations per year

Countries citing papers authored by Scott McFarland

Since Specialization
Citations

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

Fields of papers citing papers by Scott McFarland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Scott McFarland, 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 Scott McFarland Line = papers co-authored together Scott McFarland links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown
#Work
1
A synthesis of two decades of research documenting the effects of noise on wildlife
Hit paper breakdown →
2015588
2 19972

About Scott McFarland

Scott McFarland is a scholar working on Computer Networks and Communications, Oceanography, Developmental Biology, Ecology and Artificial Intelligence, having authored 2 papers that have together received 590 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (1 paper), Network Security and Intrusion Detection (1 paper), Animal Vocal Communication and Behavior (1 paper), Internet Traffic Analysis and Secure E-voting (1 paper), Marine animal studies overview (1 paper) and Underwater Acoustics Research (1 paper). The work is most often cited by research in Developmental Biology (399 citations), Ecology (482 citations), Speech and Hearing (81 citations), Ecology, Evolution, Behavior and Systematics (207 citations) and Oceanography (67 citations). Scott McFarland has collaborated with scholars based in United States. Frequent co-authors include Lisa M. Angeloni, Megan F. McKenna, Kevin R. Crooks, Misty Nelson, Jessica Briggs, Kurt M. Fristrup, Emma Brown, George Wittemyer, Graeme Shannon and Ojas Parekh. Their work appears in journals such as Biological reviews/Biological reviews of the Cambridge Philosophical Society and Journal of High Speed Networks.

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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