Daniel Friedman

871 total citations
32 papers, 545 citations indexed

About

Daniel Friedman is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Sociology and Political Science. According to data from OpenAlex, Daniel Friedman has authored 32 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 9 papers in Ecology, Evolution, Behavior and Systematics and 5 papers in Sociology and Political Science. Recurrent topics in Daniel Friedman's work include Insect and Arachnid Ecology and Behavior (11 papers), Plant and animal studies (8 papers) and Animal Behavior and Reproduction (5 papers). Daniel Friedman is often cited by papers focused on Insect and Arachnid Ecology and Behavior (11 papers), Plant and animal studies (8 papers) and Animal Behavior and Reproduction (5 papers). Daniel Friedman collaborates with scholars based in United States, United Kingdom and Australia. Daniel Friedman's co-authors include Dominic W. Massaro, Deborah M. Gordon, Timothy A. Linksvayer, Brian R. Johnson, Michael Greene, Joel Atallah, Joanna C. Chiu, Karl Friston, Eirik Søvik and Axel Constant and has published in prestigious journals such as PLoS ONE, Psychological Review and Management Science.

In The Last Decade

Daniel Friedman

30 papers receiving 526 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Friedman United States 14 198 169 128 77 77 32 545
Zhanna Reznikova Russia 13 245 1.2× 298 1.8× 64 0.5× 14 0.2× 15 0.2× 50 536
Nicholas Baker United States 12 218 1.1× 170 1.0× 162 1.3× 69 0.9× 14 0.2× 29 609
Carol Grant Gould Austria 5 98 0.5× 129 0.8× 39 0.3× 21 0.3× 21 0.3× 8 346
Chrisantha Fernando United Kingdom 16 147 0.7× 77 0.5× 129 1.0× 174 2.3× 25 0.3× 39 933
Kate V. Morgan United Kingdom 11 45 0.2× 246 1.5× 63 0.5× 32 0.4× 50 0.6× 15 519
Scarlett R. Howard Australia 14 171 0.9× 304 1.8× 110 0.9× 19 0.2× 9 0.1× 37 634
Adrienne E. Williams United States 12 104 0.5× 103 0.6× 12 0.1× 55 0.7× 27 0.4× 19 821
Eliot Bush United States 14 155 0.8× 64 0.4× 88 0.7× 25 0.3× 9 0.1× 30 682
Benjamin A. Knott United States 16 31 0.2× 236 1.4× 72 0.6× 30 0.4× 23 0.3× 58 716
Christopher L. Buckley United Kingdom 17 75 0.4× 26 0.2× 537 4.2× 150 1.9× 37 0.5× 55 903

Countries citing papers authored by Daniel Friedman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Friedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Friedman

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

All Works

20 of 20 papers shown
1.
Friedman, Daniel, et al.. (2024). Shared Protentions in Multi-Agent Active Inference. Entropy. 26(4). 303–303. 3 indexed citations
2.
3.
Friston, Karl, Thomas Parr, Conor Heins, et al.. (2023). Federated inference and belief sharing. Neuroscience & Biobehavioral Reviews. 156. 105500–105500. 13 indexed citations
4.
Rylov, S.V., et al.. (2023). Superconducting VLSI Logic Cell Library Using DC-Powered Clockless Dynamic SFQ Gates and ASIC-Style Layout Template. IEEE Transactions on Applied Superconductivity. 33(5). 1–7. 4 indexed citations
5.
Saund, Eric & Daniel Friedman. (2023). A single-pheromone model accounts for empirical patterns of ant colony foraging previously modeled using two pheromones. Cognitive Systems Research. 80. 81–89. 2 indexed citations
6.
Friedman, Daniel, et al.. (2021). Active Inferants: An Active Inference Framework for Ant Colony Behavior. Frontiers in Behavioral Neuroscience. 15. 647732–647732. 18 indexed citations
7.
Friedman, Daniel, et al.. (2021). Active Inference in Modeling Conflict. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
8.
Friedman, Daniel, Ryan A. York, Austin T. Hilliard, & Deborah M. Gordon. (2020). Gene expression variation in the brains of harvester ant foragers is associated with collective behavior. Communications Biology. 3(1). 100–100. 20 indexed citations
9.
Friedman, Daniel, Brian R. Johnson, & Timothy A. Linksvayer. (2020). Distributed physiology and the molecular basis of social life in eusocial insects. Hormones and Behavior. 122. 104757–104757. 16 indexed citations
10.
Shin, Mimi, Daniel Friedman, Deborah M. Gordon, & B. Jill Venton. (2020). Measurement of natural variation of neurotransmitter tissue content in red harvester ant brains among different colonies. Analytical and Bioanalytical Chemistry. 412(24). 6167–6175. 1 indexed citations
11.
Friedman, Daniel, Michael Greene, & Deborah M. Gordon. (2019). The physiology of forager hydration and variation among harvester ant (Pogonomyrmex barbatus) colonies in collective foraging behavior. Scientific Reports. 9(1). 5126–5126. 25 indexed citations
12.
Friedman, Daniel, Anna Pilko, Dorota Skowronska‐Krawczyk, et al.. (2018). The Role of Dopamine in the Collective Regulation of Foraging in Harvester Ants. iScience. 8. 283–294. 33 indexed citations
13.
Friedman, Daniel, et al.. (2018). Foraging behavior and locomotion of the invasive Argentine ant from winter aggregations. PLoS ONE. 13(8). e0202117–e0202117. 9 indexed citations
14.
Friedman, Daniel & Deborah M. Gordon. (2016). Ant Genetics: Reproductive Physiology, Worker Morphology, and Behavior. Annual Review of Neuroscience. 39(1). 41–56. 25 indexed citations
15.
Friedman, Daniel, et al.. (2016). Influence of nuclear structure on the formation of radiation-induced lethal lesions. International Journal of Radiation Biology. 92(5). 229–240. 6 indexed citations
16.
Kallick, Charles A., Daniel Friedman, & Mramba Nyindo. (2015). Could ehrlichial infection cause some of the changes associated with leukemia, myelodysplastic diseases and autoimmune disorders, and offer antibiotic treatment options?. Medical Hypotheses. 85(6). 891–893. 3 indexed citations
17.
Linksvayer, Timothy A., et al.. (2014). Large-Scale Coding Sequence Change Underlies the Evolution of Postdevelopmental Novelty in Honey Bees. Molecular Biology and Evolution. 32(2). 334–346. 67 indexed citations
18.
Friedman, Daniel. (1993). Sobre evolución y aprendizaje en juegos. Cuadernos Económicos de ICE. 171–196. 1 indexed citations
19.
Massaro, Dominic W. & Daniel Friedman. (1990). Models of integration given multiple sources of information.. Psychological Review. 97(2). 225–252. 164 indexed citations
20.
Massaro, Dominic W. & Daniel Friedman. (1990). Models of integration given multiple sources of information.. Psychological Review. 97(2). 225–252. 7 indexed citations

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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