Daniel H. Gottlieb

16 total papers · 505 total citations
13 papers, 363 citations indexed

About

Daniel H. Gottlieb is a scholar working on Social Psychology, Small Animals and Developmental Biology. According to data from OpenAlex, Daniel H. Gottlieb has authored 13 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Social Psychology, 9 papers in Small Animals and 4 papers in Developmental Biology. Recurrent topics in Daniel H. Gottlieb's work include Primate Behavior and Ecology (11 papers), Animal Behavior and Welfare Studies (9 papers) and Human-Animal Interaction Studies (4 papers). Daniel H. Gottlieb is often cited by papers focused on Primate Behavior and Ecology (11 papers), Animal Behavior and Welfare Studies (9 papers) and Human-Animal Interaction Studies (4 papers). Daniel H. Gottlieb collaborates with scholars based in United States, South Korea and New Zealand. Daniel H. Gottlieb's co-authors include John P. Capitanio, Brenda McCowan, Kristine Coleman, Sarah C. Strand, Lauren M. Robinson, Alexander Weiß, Matthew C. Leach, Natalie Waran, Ian Handel and Mark J. Adams and has published in prestigious journals such as Applied Animal Behaviour Science, American Journal of Primatology and PubMed.

In The Last Decade

Daniel H. Gottlieb

13 papers receiving 354 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel H. Gottlieb 249 177 93 70 48 13 363
Karolina Westlund 172 0.7× 159 0.9× 96 1.0× 54 0.8× 33 0.7× 19 359
James L. Weed 140 0.6× 112 0.6× 58 0.6× 57 0.8× 29 0.6× 16 368
Jessica J. Vandeleest 280 1.1× 91 0.5× 52 0.6× 118 1.7× 75 1.6× 25 385
Migaku Teramoto 247 1.0× 92 0.5× 83 0.9× 89 1.3× 39 0.8× 22 387
Alison P. Grand 177 0.7× 67 0.4× 78 0.8× 44 0.6× 24 0.5× 13 363
Ashley Cameron 267 1.1× 95 0.5× 59 0.6× 198 2.8× 89 1.9× 10 373
Luca Melotti 140 0.6× 253 1.4× 137 1.5× 37 0.5× 13 0.3× 12 383
Laëtitia Maréchal 268 1.1× 67 0.4× 80 0.9× 132 1.9× 67 1.4× 19 395
Stephanie F. Anestis 222 0.9× 69 0.4× 39 0.4× 101 1.4× 34 0.7× 12 358
Hetty Boleij 100 0.4× 182 1.0× 102 1.1× 35 0.5× 14 0.3× 8 343

Countries citing papers authored by Daniel H. Gottlieb

Since Specialization
Citations

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

Fields of papers citing papers by Daniel H. Gottlieb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel H. Gottlieb

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel H. Gottlieb. A scholar is included among the top collaborators of Daniel H. Gottlieb 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 H. Gottlieb. Daniel H. Gottlieb 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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