Tom V. Smulders

126 total papers · 4.6k total citations
70 papers, 1.8k citations indexed

About

Tom V. Smulders is a scholar working on Social Psychology, Ecology, Evolution, Behavior and Systematics and Cognitive Neuroscience. According to data from OpenAlex, Tom V. Smulders has authored 70 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Social Psychology, 23 papers in Ecology, Evolution, Behavior and Systematics and 22 papers in Cognitive Neuroscience. Recurrent topics in Tom V. Smulders's work include Animal Behavior and Reproduction (21 papers), Primate Behavior and Ecology (19 papers) and Animal Vocal Communication and Behavior (17 papers). Tom V. Smulders is often cited by papers focused on Animal Behavior and Reproduction (21 papers), Primate Behavior and Ecology (19 papers) and Animal Vocal Communication and Behavior (17 papers). Tom V. Smulders collaborates with scholars based in United Kingdom, United States and Switzerland. Tom V. Smulders's co-authors include Timothy J. DeVoogd, Richard B. Darlington, Vladimir V. Pravosudov, Erich D. Jarvis, Michael W. Shiflett, Alexander J. Hartemink, V. Anne Smith, Steven M. Holland, Jing Yu and Timothy Boswell and has published in prestigious journals such as PLoS ONE, Trends in Ecology & Evolution and Scientific Reports.

In The Last Decade

Tom V. Smulders

70 papers receiving 1.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tom V. Smulders	637	609	526	411	316	70	1.8k
Heiko D. Frahm	451 0.7×	681 1.1×	509 1.0×	216 0.5×	245 0.8×	34	1.6k
Lara D. LaDage	859 1.3×	677 1.1×	259 0.5×	527 1.3×	273 0.9×	48	1.7k
Paolo Ioalè	705 1.1×	382 0.6×	692 1.3×	714 1.7×	321 1.0×	79	1.8k
Toru Shimizu	606 1.0×	458 0.8×	437 0.8×	245 0.6×	559 1.8×	89	1.7k
Anna Gagliardo	980 1.5×	473 0.8×	735 1.4×	956 2.3×	519 1.6×	104	2.3k
Anat Barnea	510 0.8×	353 0.6×	213 0.4×	390 0.9×	342 1.1×	44	1.4k
Gabriel Horn	374 0.6×	570 0.9×	791 1.5×	159 0.4×	516 1.6×	46	1.7k
Stephen E. Glickman	511 0.8×	853 1.4×	703 1.3×	348 0.8×	213 0.7×	64	2.3k
Martina Manns	273 0.4×	294 0.5×	867 1.6×	135 0.3×	239 0.8×	52	1.4k
Anders Brodin	930 1.5×	465 0.8×	158 0.3×	732 1.8×	190 0.6×	61	1.5k

Countries citing papers authored by Tom V. Smulders

Since Specialization

Citations

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

Fields of papers citing papers by Tom V. Smulders

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom V. Smulders. 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 Tom V. Smulders. The network helps show where Tom V. Smulders may publish in the future.

Co-authorship network of co-authors of Tom V. Smulders

This figure shows the co-authorship network connecting the top 25 collaborators of Tom V. Smulders. A scholar is included among the top collaborators of Tom V. Smulders 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 Tom V. Smulders. Tom V. Smulders is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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