Preslav Nakov

2000–2026 年に発表

596
論文数
19,972
被引用数
69
h 指数
265
i10 指数

被引用数

Preslav Nakov の年別被引用数1962 年: 被引用 1 件1987 年: 被引用 1 件1993 年: 被引用 1 件1994 年: 被引用 1 件1995 年: 被引用 1 件2001 年: 被引用 3 件2002 年: 被引用 1 件2003 年: 被引用 6 件2004 年: 被引用 5 件2005 年: 被引用 20 件2006 年: 被引用 24 件2007 年: 被引用 40 件2008 年: 被引用 90 件2009 年: 被引用 74 件2010 年: 被引用 131 件2011 年: 被引用 108 件2012 年: 被引用 148 件2013 年: 被引用 261 件2014 年: 被引用 283 件2015 年: 被引用 455 件2016 年: 被引用 704 件2017 年: 被引用 799 件2018 年: 被引用 818 件2019 年: 被引用 1,057 件2020 年: 被引用 1,301 件2021 年: 被引用 1,446 件2022 年: 被引用 1,350 件2023 年: 被引用 1,722 件2024 年: 被引用 1,738 件2025 年: 被引用 2,063 件2026 年: 被引用 708 件1963〜1986 年は被引用が無いため表示していません1988〜1992 年は被引用が無いため表示していません1996〜2000 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 2,139 件、この内訳の 17.3%中国: 引用元論文 2,040 件、この内訳の 16.5%イギリス: 引用元論文 756 件、この内訳の 6.1%インド: 引用元論文 632 件、この内訳の 5.1%ドイツ: 引用元論文 618 件、この内訳の 5%イタリア: 引用元論文 424 件、この内訳の 3.4%カナダ: 引用元論文 358 件、この内訳の 2.9%スペイン: 引用元論文 356 件、この内訳の 2.9%オーストラリア: 引用元論文 293 件、この内訳の 2.4%フランス: 引用元論文 279 件、この内訳の 2.3%日本: 引用元論文 245 件、この内訳の 2%シンガポール: 引用元論文 234 件、この内訳の 1.9%
0%17.3%その他 32.2%

分野

  • Computer Science75.8%
  • Social Sciences13%
  • Biochemistry, Genetics and Molecular Biology3.4%
  • Psychology1.8%
  • Medicine1.2%
  • Decision Sciences1.1%
  • その他3.7%

トピック

  • 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%
  • その他49.1%

共著者

全論文

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 ほか 1,691 名 - 2020 被引用: 1,422

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 ほか 80 名 - 2021 被引用: 396

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

    著者: , , , , - arXiv (Cornell University), CoRR 2023 被引用: 142

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Timothy Baldwin, Eric P. Xing - arXiv (Cornell University), CoRR 2023 被引用: 147

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

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

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

    著者: , , - Workshop on Semantic Evaluation (SemEval-2017), SemEval@ACL 2017 被引用: 875

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

    著者: , , , , , - Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2019 被引用: 682

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

    著者: , , , , , - Findings of the Association for Computational Linguistics: EMNLP 2023, EMNLP (Findings) 2023 被引用: 97

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

    著者: , , , - Findings of the Association for Computational Linguistics: EMNLP 2023, EMNLP (Findings) 2023 被引用: 90

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

    著者: , , , - ArXiv.org, CoRR 2025 被引用: 84

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

    著者: , , , , , , , , , , , , , , , , , - Nature Machine Intelligence, Nat. Mac. Intell. 2024 被引用: 123

  12. LLM360: Towards Fully Transparent Open-Source LLMs

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 被引用: 79

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

    著者: , , , , , - Findings of the Association for Computational Linguistics: EMNLP 2021, EMNLP (Findings) 2021 被引用: 125

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

    著者: , , , - Communications of the ACM, CIKM 2020 被引用: 230

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

    著者: , , , , , , , , , , , - Findings of the Association for Computational Linguistics ACL 2024, ACL (Findings) 2024 被引用: 66

  16. Detecting Harmful Memes and Their Targets

    著者: , , , , , , - Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, ACL/IJCNLP (Findings) 2021 被引用: 107

  17. Factuality Challenges in the Era of Large Language Models

    著者: , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 被引用: 68

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

    著者: , , , , , , , , , , , , , , - Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), EACL (1) 2023 被引用: 64

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

    著者: , , , , , , , , - Transactions of the Association for Computational Linguistics, Trans. Assoc. Comput. Linguistics 2021 被引用: 131

  20. Fine-Grained Analysis of Propaganda in News Article

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

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

    著者: , , , , , , , , , , , , - Findings of the Association for Computational Linguistics: EMNLP 2024, EMNLP (Findings) 2024 被引用: 49

  22. SemEval-2010 task 8

    著者: , , , , , , , , - 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 被引用: 497

  23. Overview of BioCreative II gene mention recognition

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Anna Divoli, Manuel Jesús Maña López, Jacinto Mata Vázquez, W. John Wilbur - Genome biology 2008 被引用: 490

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

    著者: , , , , , - Conference of the North, NAACL-HLT (1) 2019 被引用: 105