Daniel Wayne Franks

88 papers receiving 3.4k citations

Peers

Daniel Wayne Franks
Comparison fields: 5 of 140
  • Ecology, Evolution, Behavior and Systematics 1.3k
  • Ecology 991
  • Aging 56
  • Social Psychology 580
  • Statistical and Nonlinear Physics 242
Replace Bernhard Voelkl with:
Bernhard Voelkl Switzerland
Odile Petit France
Darren Paul Croft United Kingdom
Jennifer H. Fewell United States
Josh A. Firth United Kingdom
Noa Pinter‐Wollman United States
Tina W. Wey United States
Max Wolf Germany
Sasha R. X. Dall United Kingdom
Andrew J. King United Kingdom
Daniel Wayne Franks relative to Bernhard Voelkl Switzerland Bernhard Voelkl's profile →
Citations per field
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Bernhard Voelkl · 1×
Citations per year

Countries citing papers authored by Daniel Wayne Franks

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Wayne Franks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011321
2 2015278
3 2009175
4 2012159
5 2015135
6 2012133
7 2010127
8 2017119
9 2010114
10 2009108
11 201790
12 201186
13 201785
14 201877
15 201873
16 201766
17 201065
18 202065
19 201962
20 201956

About Daniel Wayne Franks

Daniel Wayne Franks is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology, Genetics, Statistical and Nonlinear Physics and Ocean Engineering, having authored 89 papers that have together received 3.6k indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (38 papers), Marine animal studies overview (20 papers), Insect and Arachnid Ecology and Behavior (11 papers), Evolution and Genetic Dynamics (10 papers), Complex Network Analysis Techniques (10 papers), Distributed Control Multi-Agent Systems (8 papers), Evacuation and Crowd Dynamics (6 papers) and Primate Behavior and Ecology (6 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.3k citations), Ecology (991 citations), Aging (56 citations), Social Psychology (580 citations) and Statistical and Nonlinear Physics (242 citations). Daniel Wayne Franks has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Darren Paul Croft, A. Jamie Wood, Nikolai W. F. Bode, Michael A. Cant, Richard James, Lauren J. N. Brent, Kenneth C. Balcomb, Samuel Ellis, Michael Nash Weiss and Graeme D. Ruxton. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, Behavioral Ecology and Sociobiology, Methods in Ecology and Evolution, Current Biology and Behavioral Ecology.

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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