Aylin Caliskan

98 total papers · 4.1k total citations
37 papers, 1.9k citations indexed

About

Aylin Caliskan is a scholar working on Artificial Intelligence, Sociology and Political Science and Cognitive Neuroscience. According to data from OpenAlex, Aylin Caliskan has authored 37 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 7 papers in Sociology and Political Science and 5 papers in Cognitive Neuroscience. Recurrent topics in Aylin Caliskan's work include Topic Modeling (9 papers), Hate Speech and Cyberbullying Detection (8 papers) and Authorship Attribution and Profiling (7 papers). Aylin Caliskan is often cited by papers focused on Topic Modeling (9 papers), Hate Speech and Cyberbullying Detection (8 papers) and Authorship Attribution and Profiling (7 papers). Aylin Caliskan collaborates with scholars based in United States, Germany and Singapore. Aylin Caliskan's co-authors include Arvind Narayanan, Joanna J. Bryson, Robert E. Wolfe, Mahzarin R. Banaji, Tessa Elizabeth Sadie Charlesworth, Rachel Greenstadt, Federico Bianchi, Esin Durmus, Faisal Ladhak and Myra Cheng and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Aylin Caliskan

33 papers receiving 1.8k citations

Hit Papers

Semantics derived automat... 2017 2026 2020 2023 2017 2023 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Aylin Caliskan 965 394 387 184 152 37 1.9k
Theo Araujo 1.3k 1.3× 450 1.1× 1.5k 3.9× 127 0.7× 56 0.4× 70 3.0k
Sanne Kruikemeier 537 0.6× 360 0.9× 1.8k 4.5× 80 0.4× 43 0.3× 77 3.3k
Mike Ananny 446 0.5× 678 1.7× 968 2.5× 83 0.5× 22 0.1× 41 2.2k
Allan Dafoe 334 0.3× 427 1.1× 975 2.5× 139 0.8× 20 0.1× 52 2.3k
Solon Barocas 1.2k 1.2× 1.4k 3.6× 922 2.4× 271 1.5× 36 0.2× 48 3.1k
Safiya Noble 313 0.3× 524 1.3× 857 2.2× 71 0.4× 28 0.2× 26 2.1k
Morgan R. Frank 478 0.5× 127 0.3× 410 1.1× 75 0.4× 34 0.2× 28 1.9k
Nayeon Lee 918 1.0× 108 0.3× 220 0.6× 288 1.6× 26 0.2× 16 1.7k
John V. Pavlik 296 0.3× 137 0.3× 684 1.8× 262 1.4× 38 0.3× 66 2.3k
Motahhare Eslami 466 0.5× 601 1.5× 806 2.1× 66 0.4× 13 0.1× 50 1.7k

Countries citing papers authored by Aylin Caliskan

Since Specialization
Citations

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

Fields of papers citing papers by Aylin Caliskan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aylin Caliskan

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

All Works

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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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