Rouhollah Rahmani
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Computer Networks and Communications
- Marketing top 10%
- Co-authors
- Sally A. GoldmanHadi VeisiAli GhodsiHui ZhangJason E. FrittsJ. E. KrettekSharath R. CholletiHamidreza Memarzadeh‐Tehran
- Topics
- Advanced Image and Video Retrieval Techniques (4 papers)Image Retrieval and Classification Techniques (4 papers)Customer churn and segmentation (2 papers)
- Journals
- Expert Systems with ApplicationsTechnological Forecasting and Social ChangeIEEE Transactions on Engineering Management
- Partner nations
- IranUnited StatesCanada
In The Last Decade
Rouhollah Rahmani
15 papers receiving 500 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 280
- Computer Vision and Pattern Recognition 158
- Information Systems 93
- Computer Networks and Communications 53
- Marketing 49
Countries citing papers authored by Rouhollah Rahmani
This map shows the geographic impact of Rouhollah Rahmani'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 Rouhollah Rahmani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rouhollah Rahmani more than expected).
Fields of papers citing papers by Rouhollah Rahmani
This network shows the impact of papers produced by Rouhollah Rahmani. 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 Rouhollah Rahmani. The network helps show where Rouhollah Rahmani may publish in the future.
Co-authorship network of co-authors of Rouhollah Rahmani
This figure shows the co-authorship network connecting the top 25 collaborators of Rouhollah Rahmani. A scholar is included among the top collaborators of Rouhollah Rahmani 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 Rouhollah Rahmani. Rouhollah Rahmani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 34 | |
| 6 | 0 | |
| 7 | 12 | |
| 8 | 33 | |
| 9 | 231 | |
| 10 | 27 | |
| 11 | 9 | |
| 12 | 6 | |
| 13 | 97 | |
| 14 | 17 | |
| 15 | 2 | |
| 16 | 50 |
About Rouhollah Rahmani
Rouhollah Rahmani is a scholar working on Computer Vision and Pattern Recognition, Marketing and Human-Computer Interaction, having authored 16 papers that have together received 542 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers) and Customer churn and segmentation (2 papers). The work is most often cited by research in Artificial Intelligence (280 citations), Computer Vision and Pattern Recognition (158 citations) and Marketing (49 citations). Rouhollah Rahmani has collaborated with scholars based in Iran, United States and Canada. Frequent co-authors include Sally A. Goldman, Hadi Veisi, Ali Ghodsi, Hui Zhang, Jason E. Fritts, J. E. Krettek, Sharath R. Cholleti, Hui Zhang, Hamidreza Memarzadeh‐Tehran and Majid Baniassadi. Their work appears in journals such as Expert Systems with Applications, Technological Forecasting and Social Change and IEEE Transactions on Engineering Management.
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.