Daniel W. Franks

4.8k total citations
80 papers, 3.0k citations indexed

About

Daniel W. Franks is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology and Genetics. According to data from OpenAlex, Daniel W. Franks has authored 80 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Ecology, Evolution, Behavior and Systematics, 33 papers in Ecology and 18 papers in Genetics. Recurrent topics in Daniel W. Franks's work include Animal Behavior and Reproduction (40 papers), Plant and animal studies (26 papers) and Marine animal studies overview (20 papers). Daniel W. Franks is often cited by papers focused on Animal Behavior and Reproduction (40 papers), Plant and animal studies (26 papers) and Marine animal studies overview (20 papers). Daniel W. Franks collaborates with scholars based in United Kingdom, United States and Canada. Daniel W. Franks's co-authors include Darren P. Croft, A. Jamie Wood, Nikolai W. F. Bode, Richard James, Michael A. Cant, Lauren J. N. Brent, Kenneth C. Balcomb, Joah R. Madden, Emma Foster and Graeme D. Ruxton and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel W. Franks

79 papers receiving 3.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel W. Franks United Kingdom	31	1.4k	1.0k	739	597	507	80	3.0k
Neeltje J. Boogert United Kingdom	30	2.1k 1.5×	970 0.9×	1.2k 1.7×	410 0.7×	500 1.0×	70	3.5k
Tina W. Wey United States	21	1.4k 1.0×	600 0.6×	760 1.0×	368 0.6×	337 0.7×	41	2.0k
Charlotte K. Hemelrijk Netherlands	35	2.1k 1.5×	712 0.7×	1.6k 2.1×	713 1.2×	982 1.9×	113	4.4k
Josh A. Firth United Kingdom	29	1.0k 0.7×	665 0.6×	576 0.8×	343 0.6×	492 1.0×	68	2.7k
Lucy M. Aplin Germany	26	1.8k 1.3×	860 0.8×	988 1.3×	429 0.7×	666 1.3×	66	2.8k
Andrew J. King United Kingdom	46	2.0k 1.5×	1.9k 1.9×	1.6k 2.2×	692 1.2×	806 1.6×	152	5.7k
Gabriel Ramos‐Fernández Mexico	25	1.4k 1.0×	773 0.8×	1.5k 2.1×	252 0.4×	390 0.8×	69	3.0k
Mike Webster United Kingdom	31	1.9k 1.4×	942 0.9×	883 1.2×	543 0.9×	800 1.6×	101	4.0k
Bernhard Voelkl Switzerland	26	1.0k 0.7×	499 0.5×	971 1.3×	369 0.6×	400 0.8×	65	2.7k
Julie Morand‐Ferron Canada	31	2.5k 1.8×	1.1k 1.1×	1.3k 1.8×	479 0.8×	505 1.0×	67	3.5k

Countries citing papers authored by Daniel W. Franks

Since Specialization

Citations

This map shows the geographic impact of Daniel W. 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 W. 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 W. Franks more than expected).

Fields of papers citing papers by Daniel W. Franks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel W. Franks

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel W. Franks. A scholar is included among the top collaborators of Daniel W. Franks based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel W. Franks. Daniel W. Franks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Franks, Daniel W., et al.. (2025). Latent layers in social networks and their implications for comparative analyses. Behavioral Ecology. 36(6). araf113–araf113. 2 indexed citations

Denby, Katherine, et al.. (2024). Tailoring convolutional neural networks for custom botanical data. Applications in Plant Sciences. 13(1). e11620–e11620.

Croft, Darren P., et al.. (2024). The evolution of democratic peace in animal societies. Nature Communications. 15(1). 6583–6583. 2 indexed citations

Ellis, Samuel, et al.. (2024). The evolution of menopause in toothed whales. Nature. 627(8004). 579–585. 15 indexed citations

Grimes, Charli, Lauren J. N. Brent, Samuel Ellis, et al.. (2023). Postreproductive female killer whales reduce socially inflicted injuries in their male offspring. Current Biology. 33(15). 3250–3256.e4. 4 indexed citations

Denby, Katherine, et al.. (2023). Computer vision for plant pathology: A review with examples from cocoa agriculture. Applications in Plant Sciences. 12(2). e11559–e11559. 7 indexed citations

Weiss, Michael N., Samuel Ellis, Daniel W. Franks, et al.. (2023). Costly lifetime maternal investment in killer whales. Current Biology. 33(4). 744–748.e3. 15 indexed citations

Franks, Daniel W., et al.. (2021). Accuracy and power analysis of social networks built from count data. Methods in Ecology and Evolution. 13(1). 157–166. 6 indexed citations

Franks, Daniel W., et al.. (2020). Calculating effect sizes in animal social network analysis. Methods in Ecology and Evolution. 12(1). 33–41. 30 indexed citations

10.

Weiss, Michael N., Daniel W. Franks, Lauren J. N. Brent, et al.. (2020). Common datastream permutations of animal social network data are not appropriate for hypothesis testing using regression models. Methods in Ecology and Evolution. 12(2). 255–265. 57 indexed citations

11.

Franks, Daniel W., et al.. (2020). Ant colony nest networks adapt to resource disruption. Journal of Animal Ecology. 90(1). 143–152. 16 indexed citations

12.

Heathcote, Robert J. P., Safi K. Darden, Daniel W. Franks, Indar W. Ramnarine, & Darren P. Croft. (2017). Fear of predation drives stable and differentiated social relationships in guppies. Scientific Reports. 7(1). 41679–41679. 57 indexed citations

13.

Snijders, Lysanne, Daniel T. Blumstein, Christina Stanley, & Daniel W. Franks. (2017). Animal Social Network Theory Can Help Wildlife Conservation. Trends in Ecology & Evolution. 32(8). 567–577. 105 indexed citations

14.

Croft, Darren P., Lauren J. N. Brent, Daniel W. Franks, & Michael A. Cant. (2015). The evolution of prolonged life after reproduction. Trends in Ecology & Evolution. 30(7). 407–416. 114 indexed citations

15.

Ellis, Samuel, Daniel W. Franks, & Elva J. H. Robinson. (2014). Resource redistribution in polydomous ant nest networks: local or global?. Behavioral Ecology. 25(5). 1183–1191. 29 indexed citations

16.

Foster, Emma, Daniel W. Franks, Safi K. Darden, et al.. (2012). Adaptive Prolonged Postreproductive Life Span in Killer Whales. Science. 337(6100). 1313–1313. 130 indexed citations

17.

Franks, Daniel W., Richard W. James, Jason Noble, & Graeme D. Ruxton. (2008). Developing a methodology for social network sampling.. Artificial Life. 765. 1 indexed citations

18.

Franks, Daniel W., Graeme D. Ruxton, & Thomas N. Sherratt. (2008). WARNING SIGNALS EVOLVE TO DISENGAGE BATESIAN MIMICS. Evolution. 63(1). 256–267. 35 indexed citations

19.

Franks, Daniel W. & Thomas N. Sherratt. (2006). The evolution of multicomponent mimicry. Journal of Theoretical Biology. 244(4). 631–639. 3 indexed citations

20.

Noble, Jason & Daniel W. Franks. (2004). Social Learning in a Multi-Agent System. ePrints Soton (University of Southampton). 22(6). 561–574. 14 indexed citations

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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