Preslav Nakov

Active 2000–2026

596
Papers
19,972
Citations
69
h-index
265
i10-index

Citations

Citations per year for Preslav Nakov1962: 1 citations1987: 1 citations1993: 1 citations1994: 1 citations1995: 1 citations2001: 3 citations2002: 1 citations2003: 6 citations2004: 5 citations2005: 20 citations2006: 24 citations2007: 40 citations2008: 90 citations2009: 74 citations2010: 131 citations2011: 108 citations2012: 148 citations2013: 261 citations2014: 283 citations2015: 455 citations2016: 704 citations2017: 799 citations2018: 818 citations2019: 1,057 citations2020: 1,301 citations2021: 1,446 citations2022: 1,350 citations2023: 1,722 citations2024: 1,738 citations2025: 2,063 citations2026: 708 citations1963–1986: no citations, so these years are not shown1988–1992: no citations, so these years are not shown1996–2000: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,139 citing papers, 17.3% of this breakdownChina: 2,040 citing papers, 16.5% of this breakdownUnited Kingdom: 756 citing papers, 6.1% of this breakdownIndia: 632 citing papers, 5.1% of this breakdownGermany: 618 citing papers, 5% of this breakdownItaly: 424 citing papers, 3.4% of this breakdownCanada: 358 citing papers, 2.9% of this breakdownSpain: 356 citing papers, 2.9% of this breakdownAustralia: 293 citing papers, 2.4% of this breakdownFrance: 279 citing papers, 2.3% of this breakdownJapan: 245 citing papers, 2% of this breakdownSingapore: 234 citing papers, 1.9% of this breakdown
0%17.3%Other 32.2%

Fields

  • Computer Science75.8%
  • Social Sciences13%
  • Biochemistry, Genetics and Molecular Biology3.4%
  • Psychology1.8%
  • Medicine1.2%
  • Decision Sciences1.1%
  • Other3.7%

Topics

  • Topic Modeling18.8%
  • Natural Language Processing Techniques11.7%
  • Sentiment Analysis and Opinion Mining6.4%
  • Misinformation and Its Impacts5%
  • Advanced Text Analysis Techniques4.7%
  • Hate Speech and Cyberbullying Detection4.3%
  • Other49.1%

Coauthors

All papers

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  1. Proceedings of the 28th International Conference on Computational Linguistics

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Horacio Saggion, Mnica Domnguez, Yang Zhao, Ethics Group, Tim Baldwin, Saif Mohammadl, Joana We, Harald Bloomberg, Baayen, Eberhard Karls, Margaret Mitchell, Google, Nuria Bel, Chengqing Zong, Lucia Specia, Daniel Beck, Workshops Co-Chairs, Jun Zhao, Ann Clifton, Courtney Napoles, Grammarly, Techmo, Cirera, Luis Anke, Publicity Co-Chairs, Tiejun Zhao, Beuth, Laura Prez-Mayos, Ibm Watson, Emily Bloomberg, Bender, Sophia Ananiadou, Rafael Banchs, Intapp Miwa, Alessandro Lenci, Michael Strube, Jian-Yun Nie, Gareth Jones, Wenjie Li, Michael White, Anya Belz, Sina Zarrie, Friedrich Schiller, Universitt Jena, Fei Huang, Alibaba Academy, Sebastian Ruder, Deepmind Qiu, Fei Xia, Nicoletta Calzolari, Jong Park, Shujie Liu, Ding Liu, Mei Ling, Helen Meng, Kentaro Inui, Kallirroi Georgila, Girish Kumar, David Griol, Rhee Yoo, Justin Oh, Kristiina Dauwels, Lan Joki- Nen, Patrick Du, Yuki Paroubek, Kotaro Arase, Michael Funakoshi, Jin-Dong Mctear, Zoraida Kim, Lasguido Callejas and 1,691 more - 2020 cited by 1,422

  2. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Ales Horak, Kasra Hosseini, Takumi Ito, Peter Jansen, Sai Jayanthi, Haiyun Jiang, Sudipta Kar, Mamoru Komachi, Lukas Lange, John Lee, Jing Li, Marina Litvak, Changsong Liu, Zhengzhong Liu, Wei Lü, Wolfgang Maier, Benjamin Marie, Στέλλα Μαρκαντωνάτου, Ivan Vladimir, Meza Ruiz, John R. Morris, Hamdy Mubarak, Philippe Muller, Preslav Nakov, Diane Napolitano, Pierre Nugues, Y. Oda, Tsuyoshi Okita, Daniel Ortega, Sebastian Padó, Sean Papay, Oren Pereg, Stelios Piperidis, Christopher Potts, F. Z. Qi, Carlos Ramisch, Germán Rigau, Pablo Ruiz Fabo, Irene Russo, Safi Samghabadi, Saurav Sahay, Sebastin Santy, David Schlangen, D Fabian, Hendrik Schmidt, Sanuj Schuff, Liang-Hsin Sharma, Michal Shen, Sameer Shmueli-Scheuer, Amy Singh, Konstantinos Siu, Mohammad Skianis, Yuanfeng Sohrab, Michael Song, Duyu Stewart, Juan-Manuel Tang, Natalia Torres-Moreno, Andrea Vanetik, Ivan Varga, Yan Vulić, Longyue Wang, Changhan Wang, Rui Wang, Leo Wang, Moritz Wanner, D. Wolf, Qiongkai Xiong, Tae Xu, Seid Yano, Dian Yimam and 80 more - 2021 cited by 396

  3. Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

    Authors: , , , , - arXiv (Cornell University), CoRR 2023 cited by 142

  4. Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Timothy Baldwin, Eric P. Xing - arXiv (Cornell University), CoRR 2023 cited by 147

  5. A Survey of Confidence Estimation and Calibration in Large Language Models

    Authors: , , , , , - Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL-HLT 2024 cited by 109

  6. SemEval-2017 Task 4: Sentiment Analysis in Twitter

    Authors: , , - Workshop on Semantic Evaluation (SemEval-2017), SemEval@ACL 2017 cited by 875

  7. SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)

    Authors: , , , , , - Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2019 cited by 682

  8. On the Risk of Misinformation Pollution with Large Language Models

    Authors: , , , , , - Findings of the Association for Computational Linguistics: EMNLP 2023, EMNLP (Findings) 2023 cited by 97

  9. DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text

    Authors: , , , - Findings of the Association for Computational Linguistics: EMNLP 2023, EMNLP (Findings) 2023 cited by 90

  10. Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs

    Authors: , , , - ArXiv.org, CoRR 2025 cited by 84

  11. Factuality challenges in the era of large language models and opportunities for fact-checking

    Authors: , , , , , , , , , , , , , , , , , - Nature Machine Intelligence, Nat. Mac. Intell. 2024 cited by 123

  12. LLM360: Towards Fully Transparent Open-Source LLMs

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 79

  13. MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets

    Authors: , , , , , - Findings of the Association for Computational Linguistics: EMNLP 2021, EMNLP (Findings) 2021 cited by 125

  14. FANG: Leveraging Social Context for Fake News Detection Using Graph Representation

    Authors: , , , - Communications of the ACM, CIKM 2020 cited by 230

  15. Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification

    Authors: , , , , , , , , , , , - Findings of the Association for Computational Linguistics ACL 2024, ACL (Findings) 2024 cited by 66

  16. Detecting Harmful Memes and Their Targets

    Authors: , , , , , , - Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, ACL/IJCNLP (Findings) 2021 cited by 107

  17. Factuality Challenges in the Era of Large Language Models

    Authors: , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 68

  18. M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection

    Authors: , , , , , , , , , , , , , , - Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), EACL (1) 2023 cited by 64

  19. Compressing Large-Scale Transformer-Based Models: A Case Study on BERT

    Authors: , , , , , , , , - Transactions of the Association for Computational Linguistics, Trans. Assoc. Comput. Linguistics 2021 cited by 131

  20. Fine-Grained Analysis of Propaganda in News Article

    Authors: , , , , - Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), EMNLP/IJCNLP (1) 2019 cited by 278

  21. Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output

    Authors: , , , , , , , , , , , , - Findings of the Association for Computational Linguistics: EMNLP 2024, EMNLP (Findings) 2024 cited by 49

  22. SemEval-2010 task 8

    Authors: , , , , , , , , - Workshop on Semantic Evaluations: Recent Achievements and Future Directions - DEW '09, Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions - DEW '09 2009 cited by 497

  23. Overview of BioCreative II gene mention recognition

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Anna Divoli, Manuel Jesús Maña López, Jacinto Mata Vázquez, W. John Wilbur - Genome biology 2008 cited by 490

  24. Predicting the Type and Target of Offensive Posts in Social Media

    Authors: , , , , , - Conference of the North, NAACL-HLT (1) 2019 cited by 105