Mücahid Kutlu
- Artificial Intelligence top 5%
- Information Systems top 5%
- Sociology and Political Science
- Computer Science Applications top 5%
- Management Science and Operations Research top 10%
- Co-authors
- Tamer ElsayedMatthew LeaseTyler McDonnellIlyas CicekliKareem DarwishGagan AgrawalTanya GoyalAli Aydın Selçuk
- Topics
- Topic Modeling (16 papers)Natural Language Processing Techniques (7 papers)Misinformation and Its Impacts (6 papers)
- Journals
- IEEE Transactions on Information Forensics and SecurityProceedings of the VLDB EndowmentInformation Processing & Management
- Partner nations
- TürkiyeQatarUnited States
In The Last Decade
Mücahid Kutlu
40 papers receiving 387 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 293
- Information Systems 117
- Sociology and Political Science 78
- Computer Science Applications 71
- Management Science and Operations Research 43
Countries citing papers authored by Mücahid Kutlu
This map shows the geographic impact of Mücahid Kutlu'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 Mücahid Kutlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mücahid Kutlu more than expected).
Fields of papers citing papers by Mücahid Kutlu
This network shows the impact of papers produced by Mücahid Kutlu. 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 Mücahid Kutlu. The network helps show where Mücahid Kutlu may publish in the future.
Co-authorship network of co-authors of Mücahid Kutlu
This figure shows the co-authorship network connecting the top 25 collaborators of Mücahid Kutlu. A scholar is included among the top collaborators of Mücahid Kutlu 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 Mücahid Kutlu. Mücahid Kutlu 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 | 3 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 34 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | TOBB ETU at CheckThat! 2021: Data Engineering for Detecting Check-Worthy Claims. | 1 |
| 9 | Overview of the CLEF-2021 CheckThat! Lab Task 1 on check-worthiness estimation in tweets and political debates | 13 |
| 10 | 30 | |
| 11 | TOBB ETU at CheckThat! 2020: Prioritizing English and Arabic Claims Based on Check-Worthiness. | 2 |
| 12 | 29 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 26 | |
| 16 | BigIR at CLEF 2018: Detection and verification of check-worthy political claims | 0 |
| 17 | 11 | |
| 18 | 58 | |
| 19 | A Hybrid Morphological Disambiguation System for Turkish | 6 |
| 20 | 2 |
About Mücahid Kutlu
Mücahid Kutlu is a scholar working on Computer Science Applications, Artificial Intelligence and Management Science and Operations Research, having authored 44 papers that have together received 409 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Natural Language Processing Techniques (7 papers) and Misinformation and Its Impacts (6 papers). The work is most often cited by research in Computer Science Applications (71 citations), Artificial Intelligence (293 citations) and Information Systems (117 citations). Mücahid Kutlu has collaborated with scholars based in Türkiye, Qatar and United States. Frequent co-authors include Tamer Elsayed, Matthew Lease, Tyler McDonnell, Ilyas Cicekli, Kareem Darwish, Gagan Agrawal, Tanya Goyal, Ali Aydın Selçuk, Bedri Kamil Onur Taş and Reem Suwaileh. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, Proceedings of the VLDB Endowment and Information Processing & 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.