Daniel Barkoczi

406 total citations
11 papers, 212 citations indexed

About

Daniel Barkoczi is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Daniel Barkoczi has authored 11 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Sociology and Political Science, 6 papers in Statistical and Nonlinear Physics and 2 papers in Information Systems. Recurrent topics in Daniel Barkoczi's work include Opinion Dynamics and Social Influence (6 papers), Complex Network Analysis Techniques (5 papers) and Evolutionary Game Theory and Cooperation (5 papers). Daniel Barkoczi is often cited by papers focused on Opinion Dynamics and Social Influence (6 papers), Complex Network Analysis Techniques (5 papers) and Evolutionary Game Theory and Cooperation (5 papers). Daniel Barkoczi collaborates with scholars based in Germany, United States and Denmark. Daniel Barkoczi's co-authors include Mirta Galešić, Pantelis P. Analytis, Stefan M. Herzog, Konstantinos V. Katsikopoulos, Niccolò Pescetelli, Giuseppe Carbone, Giovanni Francesco Massari, Manuel Cebrián, Ilaria Giannoccaro and Dora Biro and has published in prestigious journals such as Nature Communications, Journal of Business Research and Cognitive Science.

In The Last Decade

Daniel Barkoczi

11 papers receiving 206 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Barkoczi Germany	7	107	75	28	26	20	11	212
Jacob G. Foster United States	5	60 0.6×	35 0.5×	14 0.5×	41 1.6×	14 0.7×	12	259
Eun Lee South Korea	8	79 0.7×	99 1.3×	15 0.5×	17 0.7×	12 0.6×	25	204
Giulia Bonelli United Kingdom	3	105 1.0×	103 1.4×	23 0.8×	26 1.0×	16 0.8×	3	256
Jason Alexander United Kingdom	8	181 1.7×	53 0.7×	93 3.3×	25 1.0×	91 4.5×	26	332
Pavlin Mavrodiev Switzerland	7	61 0.6×	48 0.6×	8 0.3×	12 0.5×	9 0.5×	9	163
Alex Rutherford United States	10	88 0.8×	48 0.6×	20 0.7×	27 1.0×	27 1.4×	20	240
Penélope Hernández Spain	10	92 0.9×	38 0.5×	60 2.1×	18 0.7×	60 3.0×	30	222
Anat Ben-David Israel	12	146 1.4×	14 0.2×	8 0.3×	106 4.1×	8 0.4×	27	419
Cédric Perret United Kingdom	8	180 1.7×	41 0.5×	17 0.6×	32 1.2×	114 5.7×	14	289
Pamela Effrein Sandstrom United States	7	67 0.6×	16 0.2×	11 0.4×	34 1.3×	4 0.2×	15	280

Countries citing papers authored by Daniel Barkoczi

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Barkoczi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Barkoczi

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

All Works

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11 of 11 papers shown

Galešić, Mirta, Daniel Barkoczi, Andrew M. Berdahl, et al.. (2023). Beyond collective intelligence: Collective adaptation. Journal of The Royal Society Interface. 20(200). 20220736–20220736. 38 indexed citations

Pescetelli, Niccolò, Daniel Barkoczi, & Manuel Cebrián. (2022). Bots influence opinion dynamics without direct human-bot interaction: the mediating role of recommender systems. Applied Network Science. 7(1). 14 indexed citations

Analytis, Pantelis P., Daniel Barkoczi, Philipp Lorenz-Spreen, & Stefan M. Herzog. (2020). The Structure of Social Influence in Recommender Networks. University of Southern Denmark Research Portal (University of Southern Denmark). 2655–2661. 9 indexed citations

Giannoccaro, Ilaria, Mirta Galešić, Giovanni Francesco Massari, Daniel Barkoczi, & Giuseppe Carbone. (2019). Search behavior of individuals working in teams: A behavioral study on complex landscapes. Journal of Business Research. 118. 507–516. 16 indexed citations

Analytis, Pantelis P., Daniel Barkoczi, & Stefan M. Herzog. (2018). Social learning strategies for matters of taste. Nature Human Behaviour. 2(6). 415–424. 21 indexed citations

Barkoczi, Daniel, Pantelis P. Analytis, & Charley M. Wu. (2016). Collective search on rugged landscapes: A cross-environmental analysis. MPG.PuRe (Max Planck Society). 918–923. 3 indexed citations

Galešić, Mirta, Daniel Barkoczi, & Konstantinos V. Katsikopoulos. (2016). Smaller crowds outperform larger crowds and individuals in realistic task conditions.. Decision. 5(1). 1–15. 26 indexed citations

Barkoczi, Daniel & Mirta Galešić. (2016). Social learning strategies modify the effect of network structure on group performance. Nature Communications. 7(1). 13109–13109. 80 indexed citations

Analytis, Pantelis P., Daniel Barkoczi, & Stefan M. Herzog. (2015). You're special, but it doesn't matter if you're a greenhorn: Social recommender strategies for mere mortals. Cognitive Science. 1799–1804. 1 indexed citations

10.

Galešić, Mirta, Daniel Barkoczi, & Konstantinos V. Katsikopoulos. (2015). Can small crowds be wise? Moderate-sized groups can outperform large groups and individuals under some task conditions. Max Planck Digital Library. 3 indexed citations

11.

Barkoczi, Daniel & Mirta Galešić. (2015). Social learning strategies reconcile the relationship between network structure and collective problem solving. Max Planck Digital Library. 1 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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