Daniel J. Singer
- Sociology and Political Science top 10%
- Statistical and Nonlinear Physics top 5%
- Philosophy top 5%
- Political Science and International Relations top 10%
- Communication top 10%
- Co-authors
- Patrick GrimWilliam J. BergerAaron BramsonBennett HolmanSteven FisherJiin JungEmanuel P. RiversH. Bryant Nguyen
- Topics
- Opinion Dynamics and Social Influence (10 papers)Epistemology, Ethics, and Metaphysics (8 papers)Evolutionary Game Theory and Cooperation (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaAmerican PsychologistRadiology
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Daniel J. Singer
38 papers receiving 500 citations
Peers
Comparison fields: 5 of 101
- Sociology and Political Science 192
- Statistical and Nonlinear Physics 120
- Philosophy 99
- Political Science and International Relations 79
- Communication 74
Countries citing papers authored by Daniel J. Singer
This map shows the geographic impact of Daniel J. Singer'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 J. Singer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Singer more than expected).
Fields of papers citing papers by Daniel J. Singer
This network shows the impact of papers produced by Daniel J. Singer. 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 J. Singer. The network helps show where Daniel J. Singer may publish in the future.
Co-authorship network of co-authors of Daniel J. Singer
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Singer. A scholar is included among the top collaborators of Daniel J. Singer 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 J. Singer. Daniel J. Singer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 14 | |
| 6 | 18 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 12 | |
| 10 | 5 | |
| 11 | 27 | |
| 12 | 45 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | Information Dynamics Across Sub-Networks: Germs, Genes, and Memes | 1 |
| 16 | Information Dynamics across Linked Sub-Networks: Germs, Genes, and Memes | 2 |
| 17 | Robustness across the Structure of Sub-Networks: The Contrast between Infection and Information Dynamics | 2 |
| 18 | 16 | |
| 19 | 12 | |
| 20 | 3 |
About Daniel J. Singer
Daniel J. Singer is a scholar working on Statistical and Nonlinear Physics, Critical Care and Intensive Care Medicine and Philosophy, having authored 39 papers that have together received 540 indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (10 papers), Epistemology, Ethics, and Metaphysics (8 papers) and Evolutionary Game Theory and Cooperation (7 papers). The work is most often cited by research in Communication (74 citations), History and Philosophy of Science (44 citations) and Statistical and Nonlinear Physics (120 citations). Daniel J. Singer has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Patrick Grim, William J. Berger, Aaron Bramson, Bennett Holman, Steven Fisher, Jiin Jung, Emanuel P. Rivers, H. Bryant Nguyen, Howard Klausner and James Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, American Psychologist and Radiology.
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.