Mehdi Kargar
- Information Systems top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Computer Science Applications top 2%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Aijun AnMorteza ZihayatJaroslaw SzlichtaGhasem ZolfaghariEbrahim BagheriLukasz GolabDivesh SrivastavaHossein Fani
- Topics
- Data Management and Algorithms (17 papers)Mobile Crowdsensing and Crowdsourcing (14 papers)Complex Network Analysis Techniques (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionJournal of Business Research
- Partner nations
- CanadaUnited StatesIran
In The Last Decade
Mehdi Kargar
52 papers receiving 733 citations
Peers
Comparison fields: 5 of 103
- Information Systems 269
- Artificial Intelligence 262
- Computer Networks and Communications 199
- Computer Science Applications 165
- Statistical and Nonlinear Physics 156
Countries citing papers authored by Mehdi Kargar
This map shows the geographic impact of Mehdi Kargar'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 Mehdi Kargar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehdi Kargar more than expected).
Fields of papers citing papers by Mehdi Kargar
This network shows the impact of papers produced by Mehdi Kargar. 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 Mehdi Kargar. The network helps show where Mehdi Kargar may publish in the future.
Co-authorship network of co-authors of Mehdi Kargar
This figure shows the co-authorship network connecting the top 25 collaborators of Mehdi Kargar. A scholar is included among the top collaborators of Mehdi Kargar 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 Mehdi Kargar. Mehdi Kargar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 19 | |
| 6 | 13 | |
| 7 | 13 | |
| 8 | Examining the Relationship between Addiction to Social Networks and Social Maturity of University Students | 2 |
| 9 | 38 | |
| 10 | WSCAN-TFP: Weighted SCAN Clustering Algorithm for Team Formation Problem in Social Network. | 2 |
| 11 | 9 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 57 | |
| 15 | 133 | |
| 16 | 7 | |
| 17 | Enhanced Evolutionary and Heuristic Algorithms for Haplotype Reconstruction Problem Using Minimum Error Correction Model | 4 |
| 18 | 15 | |
| 19 | 11 | |
| 20 | 17 |
About Mehdi Kargar
Mehdi Kargar is a scholar working on Computer Science Applications, Signal Processing and Statistical and Nonlinear Physics, having authored 58 papers that have together received 760 indexed citations. Recurring topics across this work include Data Management and Algorithms (17 papers), Mobile Crowdsensing and Crowdsourcing (14 papers) and Complex Network Analysis Techniques (13 papers). The work is most often cited by research in Computer Science Applications (165 citations), Signal Processing (141 citations) and Statistical and Nonlinear Physics (156 citations). Mehdi Kargar has collaborated with scholars based in Canada, United States and Iran. Frequent co-authors include Aijun An, Morteza Zihayat, Jaroslaw Szlichta, Ghasem Zolfaghari, Ebrahim Bagheri, Lukasz Golab, Divesh Srivastava, Hossein Fani, Zhibin Lin and Nima Haghpanah. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Journal of Business Research.
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.