Onur Varol

4.2k total citations · 4 hit papers
39 papers, 2.0k citations indexed

About

Onur Varol is a scholar working on Sociology and Political Science, Information Systems and Artificial Intelligence. According to data from OpenAlex, Onur Varol has authored 39 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Sociology and Political Science, 14 papers in Information Systems and 13 papers in Artificial Intelligence. Recurrent topics in Onur Varol's work include Misinformation and Its Impacts (18 papers), Spam and Phishing Detection (12 papers) and Complex Network Analysis Techniques (11 papers). Onur Varol is often cited by papers focused on Misinformation and Its Impacts (18 papers), Spam and Phishing Detection (12 papers) and Complex Network Analysis Techniques (11 papers). Onur Varol collaborates with scholars based in United States, Türkiye and United Kingdom. Onur Varol's co-authors include Filippo Menczer, Alessandro Flammini, Emilio Ferrara, Clayton A. Davis, Kai‐Cheng Yang, Pik-Mai Hui, Albert-Ĺaszló Barabási, Asher Ameli, J. J. Patten and Joseph Loscalzo and has published in prestigious journals such as Nature, PLoS ONE and Scientific Reports.

In The Last Decade

Onur Varol

38 papers receiving 1.9k citations

Hit Papers

Online Human-Bot Interactions: Detection, Estimation, and... 2017 2026 2020 2023 2017 2020 2019 2020 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Onur Varol United States 15 1.0k 789 613 329 328 39 2.0k
Aron Culotta United States 30 696 0.7× 578 0.7× 2.0k 3.2× 387 1.2× 351 1.1× 72 3.3k
Kalina Bontcheva United Kingdom 36 1.4k 1.4× 1.4k 1.8× 3.1k 5.0× 359 1.1× 608 1.9× 160 4.5k
Gianmarco De Francisci Morales Italy 21 1.1k 1.1× 426 0.5× 967 1.6× 810 2.5× 788 2.4× 86 2.8k
Tanmoy Chakraborty India 25 798 0.8× 789 1.0× 1.5k 2.5× 126 0.4× 609 1.9× 193 2.6k
Courtney D. Corley United States 14 310 0.3× 317 0.4× 1.0k 1.7× 106 0.3× 157 0.5× 46 2.0k
Reza Zafarani United States 24 1.6k 1.6× 1.6k 2.0× 1.7k 2.8× 260 0.8× 831 2.5× 54 3.2k
Sitaram Asur United States 15 737 0.7× 426 0.5× 817 1.3× 309 0.9× 1.0k 3.1× 23 2.4k
Srijan Kumar United States 20 485 0.5× 667 0.8× 889 1.5× 128 0.4× 434 1.3× 72 1.9k
Petr Sojka Czechia 11 298 0.3× 494 0.6× 1.7k 2.7× 127 0.4× 128 0.4× 81 2.7k

Countries citing papers authored by Onur Varol

Since Specialization
Citations

This map shows the geographic impact of Onur Varol'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 Onur Varol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Onur Varol more than expected).

Fields of papers citing papers by Onur Varol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Onur Varol. 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 Onur Varol. The network helps show where Onur Varol may publish in the future.

Co-authorship network of co-authors of Onur Varol

This figure shows the co-authorship network connecting the top 25 collaborators of Onur Varol. A scholar is included among the top collaborators of Onur Varol 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 Onur Varol. Onur Varol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Varol, Onur, et al.. (2025). Enhancing Cultural Heritage Archive Analysis via Automated Entity Extraction and Graph-Based Representation Learning. Journal on Computing and Cultural Heritage. 18(4). 1–25. 1 indexed citations
2.
Varol, Onur, et al.. (2024). TurkishBERTweet: Fast and reliable large language model for social media analysis. Expert Systems with Applications. 255. 124737–124737. 13 indexed citations
3.
Varol, Onur, et al.. (2024). First public dataset to study 2023 Turkish general election. Scientific Reports. 14(1). 8794–8794. 2 indexed citations
4.
Meng, Xiangyi, Onur Varol, & Albert-Ĺaszló Barabási. (2024). Hidden citations obscure true impact in science. PNAS Nexus. 3(5). pgae155–pgae155. 4 indexed citations
5.
Varol, Onur, et al.. (2024). Unsupervised detection of coordinated fake-follower campaigns on social media. EPJ Data Science. 13(1). 3 indexed citations
6.
Pfeffer, Jürgen, Daniel Matter, Kokil Jaidka, et al.. (2023). Just Another Day on Twitter: A Complete 24 Hours of Twitter Data. Proceedings of the International AAAI Conference on Web and Social Media. 17. 1073–1081. 14 indexed citations
7.
Varol, Onur. (2023). Should we agree to disagree about Twitter’s bot problem?. 37-38. 100263–100263. 11 indexed citations
8.
Singh, Karandeep, Gabriel Lima, Meeyoung Cha, et al.. (2022). Misinformation, believability, and vaccine acceptance over 40 countries: Takeaways from the initial phase of the COVID-19 infodemic. PLoS ONE. 17(2). e0263381–e0263381. 61 indexed citations
9.
Cha, Meeyoung, Chiyoung Cha, Karandeep Singh, et al.. (2021). Prevalence of Misinformation and Factchecks on the COVID-19 Pandemic in 35 Countries: Observational Infodemiology Study. JMIR Human Factors. 8(1). e23279–e23279. 28 indexed citations
10.
Olteanu, Alexandra, Onur Varol, & Emre Kıcıman. (2021). Towards an Open-Domain Framework for Distilling the Outcomes of Personal Experiences from Social Media Timelines. Proceedings of the International AAAI Conference on Web and Social Media. 10(1). 647–650.
11.
Ferrara, Emilio, Onur Varol, Filippo Menczer, & Alessandro Flammini. (2021). Detection of Promoted Social Media Campaigns. Proceedings of the International AAAI Conference on Web and Social Media. 10(1). 563–566. 5 indexed citations
12.
Gysi, Deisy Morselli, Ítalo Faria do Valle, Marinka Žitnik, et al.. (2020). Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19. PubMed Central. 330 indexed citations breakdown →
13.
Yang, Kai‐Cheng, Onur Varol, Pik-Mai Hui, & Filippo Menczer. (2020). Scalable and Generalizable Social Bot Detection through Data Selection. Proceedings of the AAAI Conference on Artificial Intelligence. 34(1). 1096–1103. 218 indexed citations breakdown →
14.
Yang, Kai‐Cheng, Onur Varol, Clayton A. Davis, et al.. (2019). Arming the public with artificial intelligence to counter social bots. Human Behavior and Emerging Technologies. 1(1). 48–61. 257 indexed citations breakdown →
15.
Varol, Onur, et al.. (2018). The minute-scale dynamics of online emotions reveal the effects of affect labeling. Nature Human Behaviour. 3(1). 92–100. 45 indexed citations
16.
Shao, Chengcheng, Giovanni Luca Ciampaglia, Onur Varol, Alessandro Flammini, & Filippo Menczer. (2017). The spread of misinformation by social bots. arXiv (Cornell University). 11 indexed citations
17.
Varol, Onur. (2017). Analyzing Social Big Data to Study Online Discourse and Its Manipulation. IUScholarWorks (Indiana University). 1 indexed citations
18.
Varol, Onur, Emilio Ferrara, Clayton A. Davis, Filippo Menczer, & Alessandro Flammini. (2017). Online Human-Bot Interactions: Detection, Estimation, and Characterization. Proceedings of the International AAAI Conference on Web and Social Media. 11(1). 280–289. 517 indexed citations breakdown →
19.
Varol, Onur. (2016). Spatiotemporal analysis of censored content on Twitter. 372–373. 5 indexed citations
20.
Varol, Onur, et al.. (2014). Mode coupling points to functionally important residues in myosin II. Proteins Structure Function and Bioinformatics. 82(9). 1777–1786. 1 indexed citations

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.

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