Zsuzsa Ákos

1.5k citations
10 papers · 1.1k indexed · 1 hit paper · h-index 8
Topics
Animal Behavior and Reproduction (4 papers)Cellular Mechanics and Interactions (3 papers)Developmental Biology and Gene Regulation (3 papers)

In The Last Decade

Zsuzsa Ákos

10 papers receiving 1.1k citations

Hit Papers

Hierarchical group dynamics in pigeon flocks20102026201520202010250500750

Peers

Zsuzsa Ákos
Comparison fields: 5 of 118
  • Ecology, Evolution, Behavior and Systematics 328
  • Computer Networks and Communications 284
  • Genetics 190
  • Ecology 156
  • Molecular Biology 141
Replace T. M. Schaerf with:
T. M. Schaerf Australia
Yael Katz United States
Jolyon J. Faria United Kingdom
Kolbjørn Tunstrøm Sweden
Máté Nagy Hungary
José Halloy France
Andrew M. Berdahl United States
Hanno Hildenbrandt Netherlands
Steven V. Viscido United States
Alberto Orlandi Italy
Zsuzsa Ákos relative to T. M. Schaerf Australia T. M. Schaerf's profile →
Citations per field
00.5×1.6×
T. M. Schaerf · 1×
Citations per year

Countries citing papers authored by Zsuzsa Ákos

Since Specialization
Citations

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

Fields of papers citing papers by Zsuzsa Ákos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zsuzsa Ákos

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 3
2 8
3 3
4 14
5 72
6 95
7 51
8 36
9
Hierarchical group dynamics in pigeon flocksbreakdown →
758
10 50

About Zsuzsa Ákos

Zsuzsa Ákos is a scholar working on Developmental Biology, Cell Biology and Ecology, Evolution, Behavior and Systematics, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (4 papers), Cellular Mechanics and Interactions (3 papers) and Developmental Biology and Gene Regulation (3 papers). The work is most often cited by research in Developmental Biology (83 citations), Ecology, Evolution, Behavior and Systematics (328 citations) and Computer Networks and Communications (284 citations). Zsuzsa Ákos has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include Tamás Vicsek, Máté Nagy, Dora Biro, Benjamin Pettit, Enikő Kubinyi, Robert E. Beck, Angelike Stathopoulos, Andrea Flack, Ekaterina Papusheva and Guillaume Salbreux. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Cell Biology.

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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