Mohsen Kahani
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Information Systems top 1%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Adel N. ToosiEbrahim BagheriFattane ZarrinkalamBehshid BehkamalRajkumar BuyyaShreshth TuliRajesh AryaGurpreet Singh Wander
- Topics
- Service-Oriented Architecture and Web Services (19 papers)Semantic Web and Ontologies (19 papers)Topic Modeling (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaACM SIGCOMM Computer Communication ReviewKnowledge-Based Systems
In The Last Decade
Mohsen Kahani
93 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 749
- Computer Networks and Communications 693
- Information Systems 540
- Signal Processing 216
- Computer Vision and Pattern Recognition 130
Countries citing papers authored by Mohsen Kahani
This map shows the geographic impact of Mohsen Kahani'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 Mohsen Kahani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohsen Kahani more than expected).
Fields of papers citing papers by Mohsen Kahani
This network shows the impact of papers produced by Mohsen Kahani. 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 Mohsen Kahani. The network helps show where Mohsen Kahani may publish in the future.
Co-authorship network of co-authors of Mohsen Kahani
This figure shows the co-authorship network connecting the top 25 collaborators of Mohsen Kahani. A scholar is included among the top collaborators of Mohsen Kahani 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 Mohsen Kahani. Mohsen Kahani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 123 | |
| 7 | 2 | |
| 8 | 24 | |
| 9 | 10 | |
| 10 | 9 | |
| 11 | 78 | |
| 12 | 14 | |
| 13 | On Business Process Variants Generation. | 2 |
| 14 | COLINA: a method for ranking SPARQL query results through content and link analysis | 0 |
| 15 | Mining common morphological fragments from process event logs | 4 |
| 16 | 3 | |
| 17 | 10 | |
| 18 | 4 | |
| 19 | Agricultural Expert Systems | 1 |
| 20 | Intrusion Detection Based on Neuro Fuzzy Classification | 4 |
About Mohsen Kahani
Mohsen Kahani is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems, having authored 99 papers that have together received 1.5k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (19 papers), Semantic Web and Ontologies (19 papers) and Topic Modeling (18 papers). The work is most often cited by research in Computer Networks and Communications (693 citations), Information Systems (540 citations) and Artificial Intelligence (749 citations). Mohsen Kahani has collaborated with scholars based in Iran, Canada and Australia. Frequent co-authors include Adel N. Toosi, Ebrahim Bagheri, Fattane Zarrinkalam, Behshid Behkamal, Rajkumar Buyya, Shreshth Tuli, Rajesh Arya, Gurpreet Singh Wander, Sukhpal Singh Gill and Mohammad Kazem Akbari. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM SIGCOMM Computer Communication Review and Knowledge-Based Systems.
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.