Shikib Mehri
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- Topic Modeling 6
- Natural Language Processing Techniques 5
- Speech and dialogue systems 4
- Advanced Software Engineering Methodologies 1
- Reinforcement Learning in Robotics 1
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- Multimodal Machine Learning Applications 1
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- Constraint Satisfaction and Optimization 1
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- Misinformation and Its Impacts 1
- Co-authors
- Maxine EskénaziGiuseppe CareniniYi‐Ting YehPrakhar GuptaJeffrey P. BighamYasemin AltünChris DevelderThomas Demeester
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)International Joint Conference on Natural Language Processing (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesSwitzerlandBelgium
In The Last Decade
Shikib Mehri
8 papers receiving 51 citations
Peers
Comparison fields: 5 of 19
- Artificial Intelligence 43
- Information Systems 6
- Software 1
- Computer Vision and Pattern Recognition 5
- Signal Processing 2
Countries citing papers authored by Shikib Mehri
This map shows the geographic impact of Shikib Mehri'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 Shikib Mehri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shikib Mehri more than expected).
Fields of papers citing papers by Shikib Mehri
This network shows the impact of papers produced by Shikib Mehri. 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 Shikib Mehri. The network helps show where Shikib Mehri may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Shikib Mehri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 16 | |
| 5 | 2020 | 10 | |
| 6 | 2020 | 2 | |
| 7 | 2019 | 3 | |
| 8 | Chat Disentanglement: Identifying Semantic Reply Relationships with Random Forests and Recurrent Neural Networks | 2017 | 17 |
About Shikib Mehri
Shikib Mehri is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Sociology and Political Science and Infectious Diseases, having authored 8 papers that have together received 53 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers), Speech and dialogue systems (4 papers), Constraint Satisfaction and Optimization (1 paper), Multimodal Machine Learning Applications (1 paper), Misinformation and Its Impacts (1 paper), Advanced Software Engineering Methodologies (1 paper) and Reinforcement Learning in Robotics (1 paper). The work is most often cited by research in Artificial Intelligence (43 citations), Information Systems (6 citations), Software (1 citation), Computer Vision and Pattern Recognition (5 citations) and Signal Processing (2 citations). Shikib Mehri has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Maxine Eskénazi, Giuseppe Carenini, Yi‐Ting Yeh, Prakhar Gupta, Jeffrey P. Bigham, Yasemin Altün, Chris Develder, Thomas Demeester, Mark A. Franklin and Christopher Potts. Their work appears in journals such as Transactions of the Association for Computational Linguistics, International Joint Conference on Natural Language Processing and arXiv (Cornell University).
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.