Bijan Ranjbar-Sahraei

31 papers receiving 343 citations

Peers

Bijan Ranjbar-Sahraei
Comparison fields: 5 of 70
  • Computer Networks and Communications 171
  • Control and Systems Engineering 131
  • Statistical and Nonlinear Physics 88
  • Artificial Intelligence 73
  • Computer Vision and Pattern Recognition 59
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Countries citing papers authored by Bijan Ranjbar-Sahraei

Since Specialization
Citations

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

Fields of papers citing papers by Bijan Ranjbar-Sahraei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bijan Ranjbar-Sahraei. 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 Bijan Ranjbar-Sahraei. The network helps show where Bijan Ranjbar-Sahraei may publish in the future.

Co-authorship network of co-authors of Bijan Ranjbar-Sahraei

This figure shows the co-authorship network connecting the top 25 collaborators of Bijan Ranjbar-Sahraei. A scholar is included among the top collaborators of Bijan Ranjbar-Sahraei 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 Bijan Ranjbar-Sahraei. Bijan Ranjbar-Sahraei 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
#WorkIndexed citations
1 0
2
Research positioning a trend identification: a data-analytics toolbox
13
3 4
4 1
5
Contextual Entity Resolution Approach for Genealogical Data
1
6 12
7 4
8 4
9
A Baseline Method for Genealogical Entity Resolution
5
10 12
11 4
12
An interactive, web-based tool for genealogical entity resolution
3
13 1
14
Toward Soft Heterogeneity in Robotic Swarms
1
15 6
16 13
17 15
18 15
19
Real-time parameter identification for highly coupled nonlinear systems using adaptive particle swarm optimization
2
20 2

About Bijan Ranjbar-Sahraei

Bijan Ranjbar-Sahraei is a scholar working on Computer Networks and Communications, Management Science and Operations Research and Statistical and Nonlinear Physics, having authored 34 papers that have together received 371 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (12 papers), Modular Robots and Swarm Intelligence (7 papers) and Data Quality and Management (7 papers). The work is most often cited by research in Computer Networks and Communications (171 citations), Statistical and Nonlinear Physics (88 citations) and Control and Systems Engineering (131 citations). Bijan Ranjbar-Sahraei has collaborated with scholars based in Netherlands, Iran and United Kingdom. Frequent co-authors include Mehdi Roopaei, Alireza Nemati, Sergiu‐Dan Stan, Gerhard Weiß, Karl Tuyls, Rudy R. Negenborn, Tsung-Chih Lin, Navid Noroozi, Mansoor Zolghadri Jahromi and Toon Calders. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Nonlinear Dynamics and Communications in Nonlinear Science and Numerical Simulation.

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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