Hannelore De Silva

1.0k citations
9 papers · 765 indexed · 1 hit paper · h-index 6
Topics
Experimental Behavioral Economics Studies (7 papers)Evolutionary Game Theory and Cooperation (7 papers)Evolutionary Psychology and Human Behavior (3 papers)
Partner nations
AustriaGermanyCanada

In The Last Decade

Hannelore De Silva

8 papers receiving 750 citations

Hit Papers

Social learning promotes institutions for governing the c...20102026201520202010100200300400

Peers

Hannelore De Silva
Comparison fields: 5 of 54
  • Sociology and Political Science 685
  • Safety Research 477
  • Genetics 255
  • Experimental and Cognitive Psychology 194
  • Public Health, Environmental and Occupational Health 133
Replace Julián García with:
Julián García Australia
Linjie Liu China
Torsten Röhl Germany
Jelena Grujić Spain
Hannelore Brandt Austria
Satoshi Uchida Austria
Shun Kurokawa Japan
Isamu Okada Japan
Te Wu China
Laura Schmid Austria
Hannelore De Silva relative to Julián García Australia Julián García's profile →
Citations per field
00.5×1.6×
Julián García · 1×
Citations per year

Countries citing papers authored by Hannelore De Silva

Since Specialization
Citations

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

Fields of papers citing papers by Hannelore De Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannelore De Silva. 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 Hannelore De Silva. The network helps show where Hannelore De Silva may publish in the future.

Co-authorship network of co-authors of Hannelore De Silva

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 3
2 0
3 8
4 2
5 49
6
Social learning promotes institutions for governing the commonsbreakdown →
433
7 29
8 208
9 33

About Hannelore De Silva

Hannelore De Silva is a scholar working on Safety Research, General Decision Sciences and Management Science and Operations Research, having authored 9 papers that have together received 765 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (7 papers), Evolutionary Game Theory and Cooperation (7 papers) and Evolutionary Psychology and Human Behavior (3 papers). The work is most often cited by research in Safety Research (477 citations), Sociology and Political Science (685 citations) and Experimental and Cognitive Psychology (194 citations). Hannelore De Silva has collaborated with scholars based in Austria, Germany and Canada. Frequent co-authors include Karl Sigmund, Arne Traulsen, Christoph Hauert, Martin A. Nowak, Boyu Zhang, Cong Li, Gerlinde Fellner-Röhling, Ulrich Berger, Stefan Pichler and Engelbert J. Dockner. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

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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