Daniel M. Haybron

81 total papers · 2.0k total citations
32 papers, 906 citations indexed

About

Daniel M. Haybron is a scholar working on Social Psychology, Applied Psychology and Philosophy. According to data from OpenAlex, Daniel M. Haybron has authored 32 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Social Psychology, 7 papers in Applied Psychology and 5 papers in Philosophy. Recurrent topics in Daniel M. Haybron's work include Psychological Well-being and Life Satisfaction (11 papers), Optimism, Hope, and Well-being (7 papers) and Emotions and Moral Behavior (4 papers). Daniel M. Haybron is often cited by papers focused on Psychological Well-being and Life Satisfaction (11 papers), Optimism, Hope, and Well-being (7 papers) and Emotions and Moral Behavior (4 papers). Daniel M. Haybron collaborates with scholars based in United States, Belgium and Spain. Daniel M. Haybron's co-authors include Anna Alexandrova, Valerie Tiberius, Christian Coons, Richard J. Arneson, Lawrence A. Alexander, Michael Cholbi, Douglas Husak, Jeremy A. Blumenthal, Danny Scoccia and Gerald Dworkin and has published in prestigious journals such as Journal of Happiness Studies, Philosophy and Phenomenological Research and The Journal of Positive Psychology.

In The Last Decade

Daniel M. Haybron

32 papers receiving 774 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 M. Haybron 520 175 165 162 151 32 906
Nancy E. Snow 303 0.6× 217 1.2× 171 1.0× 189 1.2× 74 0.5× 51 788
Victoria McGeer 270 0.5× 498 2.8× 257 1.6× 297 1.8× 107 0.7× 31 1.0k
Maria Miceli 458 0.9× 212 1.2× 256 1.6× 39 0.2× 109 0.7× 40 957
L. W. Sumner 238 0.5× 228 1.3× 214 1.3× 291 1.8× 56 0.4× 44 1.0k
Jennifer Cole Wright 385 0.7× 522 3.0× 402 2.4× 224 1.4× 44 0.3× 43 981
Iradj Siassi 450 0.9× 99 0.6× 443 2.7× 34 0.2× 118 0.8× 33 978
Robert C. Carson 231 0.4× 76 0.4× 228 1.4× 54 0.3× 83 0.5× 37 867
Tenelle Porter 336 0.6× 79 0.5× 308 1.9× 28 0.2× 40 0.3× 33 798
Eric Stocks 503 1.0× 277 1.6× 413 2.5× 21 0.1× 74 0.5× 30 1000
Sammyh S. Khan 425 0.8× 75 0.4× 582 3.5× 26 0.2× 66 0.4× 36 937

Countries citing papers authored by Daniel M. Haybron

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Haybron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel M. Haybron

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