Seyed Naser Razavi
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Co-authors
- Mir Mohammad EttefaghZohreh MousaviMohammad Ali BalafarMorteza SadeghiReza HassannejadTohid Yousefi RezaiiSobhan SheykhivandAli Farzamnia
- Topics
- Metaheuristic Optimization Algorithms Research (6 papers)Spam and Phishing Detection (4 papers)Energy Efficient Wireless Sensor Networks (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringControl and Systems EngineeringComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
- Partner nations
- IranUnited KingdomMalaysia
In The Last Decade
Seyed Naser Razavi
35 papers receiving 635 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 141
- Control and Systems Engineering 124
- Computer Networks and Communications 109
- Computer Vision and Pattern Recognition 94
- Mechanical Engineering 88
Countries citing papers authored by Seyed Naser Razavi
This map shows the geographic impact of Seyed Naser Razavi'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 Seyed Naser Razavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seyed Naser Razavi more than expected).
Fields of papers citing papers by Seyed Naser Razavi
This network shows the impact of papers produced by Seyed Naser Razavi. 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 Seyed Naser Razavi. The network helps show where Seyed Naser Razavi may publish in the future.
Co-authorship network of co-authors of Seyed Naser Razavi
This figure shows the co-authorship network connecting the top 25 collaborators of Seyed Naser Razavi. A scholar is included among the top collaborators of Seyed Naser Razavi 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 Seyed Naser Razavi. Seyed Naser Razavi 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 21 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 49 | |
| 11 | 4 | |
| 12 | 67 | |
| 13 | 3 | |
| 14 | 108 | |
| 15 | 8 | |
| 16 | 90 | |
| 17 | 15 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 2 |
About Seyed Naser Razavi
Seyed Naser Razavi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 41 papers that have together received 654 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (6 papers), Spam and Phishing Detection (4 papers) and Energy Efficient Wireless Sensor Networks (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (70 citations), Control and Systems Engineering (124 citations) and Computer Networks and Communications (109 citations). Seyed Naser Razavi has collaborated with scholars based in Iran, United Kingdom and Malaysia. Frequent co-authors include Mir Mohammad Ettefagh, Zohreh Mousavi, Mohammad Ali Balafar, Morteza Sadeghi, Reza Hassannejad, Tohid Yousefi Rezaii, Sobhan Sheykhivand, Ali Farzamnia, Leili Farzinvash and Mehdi Farhoudi. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.
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.