Daniel G. Freedman
- Social Psychology top 5%
- Experimental and Cognitive Psychology top 5%
- Sociology and Political Science top 5%
- Clinical Psychology top 10%
- Genetics top 10%
- Co-authors
- John A. KingOrville ElliotDonald R. OmarkHarvey B. SarlesB. B. GoswamiJerome H. BarkowSpero M. MansonChristopher E. Parker
- Topics
- Child and Animal Learning Development (3 papers)Evolutionary Psychology and Human Behavior (3 papers)Cultural Differences and Values (2 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Daniel G. Freedman
24 papers receiving 984 citations
Peers
Comparison fields: 5 of 110
- Social Psychology 423
- Experimental and Cognitive Psychology 311
- Sociology and Political Science 301
- Clinical Psychology 218
- Genetics 204
Countries citing papers authored by Daniel G. Freedman
This map shows the geographic impact of Daniel G. Freedman'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 G. Freedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. Freedman more than expected).
Fields of papers citing papers by Daniel G. Freedman
This network shows the impact of papers produced by Daniel G. Freedman. 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 G. Freedman. The network helps show where Daniel G. Freedman may publish in the future.
Co-authorship network of co-authors of Daniel G. Freedman
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel G. Freedman. A scholar is included among the top collaborators of Daniel G. Freedman 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 G. Freedman. Daniel G. Freedman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 61 | |
| 6 | Dominance relations : an ethological view of human conflict and social interaction | 58 |
| 7 | 1 | |
| 8 | Human Sociobiology: A Holistic Approach | 90 |
| 9 | 215 | |
| 10 | Human Infancy: An Evolutionary Perspective | 173 |
| 11 | 12 | |
| 12 | 99 | |
| 13 | Personality Development in Infancy; A Biological Approach. | 6 |
| 14 | An Evolutionary Framework for Behavioral Research. | 2 |
| 15 | 83 | |
| 16 | 42 | |
| 17 | 13 | |
| 18 | 182 | |
| 19 | 34 | |
| 20 | 2 |
About Daniel G. Freedman
Daniel G. Freedman is a scholar working on General Decision Sciences, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Child and Animal Learning Development (3 papers), Evolutionary Psychology and Human Behavior (3 papers) and Cultural Differences and Values (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (311 citations), Social Psychology (423 citations) and Pharmacy (95 citations). Daniel G. Freedman has collaborated with scholars based in United States and Canada. Frequent co-authors include John A. King, Orville Elliot, Donald R. Omark, Harvey B. Sarles, B. B. Goswami, Jerome H. Barkow, Spero M. Manson, Christopher E. Parker, M. R. A. Chance and Eliot D. Chapple. Their work appears in journals such as Nature, Science and Journal of Child Psychology and Psychiatry.
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.