Mohammad Sadegh Rasooli
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition
- Information Systems
- Signal Processing
- Language and Linguistics
- Co-authors
- Michael J. CollinsJoel TetreaultMona DiabNizar HabashHeshaam FailiOwen RambowKathleen McKeownNoura Farra
- Topics
- Topic Modeling (17 papers)Natural Language Processing Techniques (17 papers)Speech Recognition and Synthesis (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaTransactions of the Association for Computational LinguisticsMachine Translation
- Partner nations
- United StatesIranAustria
In The Last Decade
Mohammad Sadegh Rasooli
21 papers receiving 239 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 249
- Computer Vision and Pattern Recognition 31
- Information Systems 15
- Signal Processing 11
- Language and Linguistics 7
Countries citing papers authored by Mohammad Sadegh Rasooli
This map shows the geographic impact of Mohammad Sadegh Rasooli'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 Mohammad Sadegh Rasooli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Sadegh Rasooli more than expected).
Fields of papers citing papers by Mohammad Sadegh Rasooli
This network shows the impact of papers produced by Mohammad Sadegh Rasooli. 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 Mohammad Sadegh Rasooli. The network helps show where Mohammad Sadegh Rasooli may publish in the future.
Co-authorship network of co-authors of Mohammad Sadegh Rasooli
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Sadegh Rasooli. A scholar is included among the top collaborators of Mohammad Sadegh Rasooli 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 Mohammad Sadegh Rasooli. Mohammad Sadegh Rasooli 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 | 2 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | Transferring Semantic Roles Using Translation and Syntactic Information | 4 |
| 10 | 22 | |
| 11 | 26 | |
| 12 | 8 | |
| 13 | 41 | |
| 14 | 7 | |
| 15 | 11 | |
| 16 | Development of a Persian Syntactic Dependency Treebank | 36 |
| 17 | Orthographic and Morphological Processing for Persian-to-English Statistical Machine Translation | 6 |
| 18 | 32 | |
| 19 | Fast Unsupervised Dependency Parsing with Arc-Standard Transitions | 5 |
| 20 | 13 |
About Mohammad Sadegh Rasooli
Mohammad Sadegh Rasooli is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Rehabilitation, having authored 22 papers that have together received 261 indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Natural Language Processing Techniques (17 papers) and Speech Recognition and Synthesis (4 papers). The work is most often cited by research in Artificial Intelligence (249 citations), Computer Vision and Pattern Recognition (31 citations) and Signal Processing (11 citations). Mohammad Sadegh Rasooli has collaborated with scholars based in United States, Iran and Austria. Frequent co-authors include Michael J. Collins, Joel Tetreault, Mona Diab, Nizar Habash, Heshaam Faili, Owen Rambow, Kathleen McKeown, Noura Farra, Behrouz Minaei‐Bidgoli and Axinia Radeva. Their work appears in journals such as SHILAP Revista de lepidopterología, Transactions of the Association for Computational Linguistics and Machine Translation.
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.