Asgarali Bouyer
- Statistical and Nonlinear Physics top 1%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Sociology and Political Science
- Co-authors
- Kamal BerahmandBahman ArastehNegin SamadiAbdolreza HatamlouMahdi VasighiMohammad MasdariSona TaheriReza Ghanbarzadeh
- Topics
- Complex Network Analysis Techniques (39 papers)Opinion Dynamics and Social Influence (28 papers)Advanced Clustering Algorithms Research (13 papers)
- Cited by
- Statistical and Nonlinear PhysicsArtificial IntelligenceComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsInformation Sciences
- Partner nations
- IranTürkiyeAzerbaijan
In The Last Decade
Asgarali Bouyer
76 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Statistical and Nonlinear Physics 736
- Artificial Intelligence 468
- Computer Networks and Communications 317
- Information Systems 205
- Sociology and Political Science 96
Countries citing papers authored by Asgarali Bouyer
This map shows the geographic impact of Asgarali Bouyer'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 Asgarali Bouyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asgarali Bouyer more than expected).
Fields of papers citing papers by Asgarali Bouyer
This network shows the impact of papers produced by Asgarali Bouyer. 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 Asgarali Bouyer. The network helps show where Asgarali Bouyer may publish in the future.
Co-authorship network of co-authors of Asgarali Bouyer
This figure shows the co-authorship network connecting the top 25 collaborators of Asgarali Bouyer. A scholar is included among the top collaborators of Asgarali Bouyer 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 Asgarali Bouyer. Asgarali Bouyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 21 | |
| 13 | 35 | |
| 14 | 21 | |
| 15 | 7 | |
| 16 | 24 | |
| 17 | 4 | |
| 18 | An optimal Algorithm based on gridding and clustering for decrease energy consumption in WSN | 4 |
| 19 | 2 | |
| 20 | 7 |
About Asgarali Bouyer
Asgarali Bouyer is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Information Systems, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (39 papers), Opinion Dynamics and Social Influence (28 papers) and Advanced Clustering Algorithms Research (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (736 citations), Artificial Intelligence (468 citations) and Computer Networks and Communications (317 citations). Asgarali Bouyer has collaborated with scholars based in Iran, Türkiye and Azerbaijan. Frequent co-authors include Kamal Berahmand, Bahman Arasteh, Negin Samadi, Abdolreza Hatamlou, Mahdi Vasighi, Mohammad Masdari, Sona Taheri, Reza Ghanbarzadeh, Mohammad Noshad and Afsaneh Fatemi. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information Sciences.
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.