Shervin Nouyan

9 papers receiving 309 citations

Peers

Shervin Nouyan
Comparison fields: 5 of 42
  • Computer Networks and Communications 221
  • Mechanical Engineering 205
  • Computer Vision and Pattern Recognition 61
  • Artificial Intelligence 57
  • Condensed Matter Physics 34
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William Agassounon United States
Thomas Halva Labella Germany
Giovanni C. Pettinaro Switzerland
Valentin Longchamp Switzerland
Micha Sende Austria
Levent Bayındır Türkiye
Sancho Oliveira Portugal
Olga Kernbach Germany
Rodney Heil United States
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Countries citing papers authored by Shervin Nouyan

Since Specialization
Citations

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

Fields of papers citing papers by Shervin Nouyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shervin Nouyan

This figure shows the co-authorship network connecting the top 25 collaborators of Shervin Nouyan. A scholar is included among the top collaborators of Shervin Nouyan 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 Shervin Nouyan. Shervin Nouyan 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 57
2 93
3 95
4
Group Transport Along a Robot Chain in a Self-Organised Robot Colony
22
5
Enhancing cooperative transport using negotiation of goal direction
1
6
SWARM-BOT: Design and Implementation of Colonies of Self-Assembling Robots
19
7
An Insect-Based Algorithm for the Dynamic Task Allocation Problem
23
8 19
9
An Ant-Based Algorithm for the Heterogeneous Dynamic Task Allocation Problem
2

About Shervin Nouyan

Shervin Nouyan is a scholar working on Computer Networks and Communications, Mechanical Engineering and Transportation, having authored 9 papers that have together received 331 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (6 papers), Distributed Control Multi-Agent Systems (5 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Computer Networks and Communications (221 citations), Mechanical Engineering (205 citations) and Computer Vision and Pattern Recognition (61 citations). Shervin Nouyan has collaborated with scholars based in Belgium, Switzerland and United States. Frequent co-authors include Marco Dorigo, Alexandre Campo, Francesco Mondada, Roderich Groß, Michaël Bonani, Álvaro Gutiérrez, Carlo Pinciroli, Simon Garnier, Valentin Longchamp and Mauro Birattari. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Biological Cybernetics and Lecture notes in computer science.

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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