Nadia Conroy

13 total papers · 1.7k total citations
8 papers, 1.0k citations indexed

About

Nadia Conroy is a scholar working on Sociology and Political Science, Information Systems and Artificial Intelligence. According to data from OpenAlex, Nadia Conroy has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sociology and Political Science, 3 papers in Information Systems and 3 papers in Artificial Intelligence. Recurrent topics in Nadia Conroy's work include Spam and Phishing Detection (3 papers), Misinformation and Its Impacts (3 papers) and Online and Blended Learning (2 papers). Nadia Conroy is often cited by papers focused on Spam and Phishing Detection (3 papers), Misinformation and Its Impacts (3 papers) and Online and Blended Learning (2 papers). Nadia Conroy collaborates with scholars based in Canada, United States and Nigeria. Nadia Conroy's co-authors include Victoria L. Rubin, Yimin Chen, Anatoliy Gruzd, Lu Xiao and Sarah Cornwell and has published in prestigious journals such as Journal of the Association for Information Science and Technology, Proceedings of the Association for Information Science and Technology and Figshare.

In The Last Decade

Nadia Conroy

8 papers receiving 942 citations

Hit Papers

Automatic deception detec... 2015 2026 2018 2022 2015 2015 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Nadia Conroy 898 659 453 230 150 8 1.0k
Jin Yea Jang 742 0.8× 451 0.7× 525 1.2× 108 0.5× 110 0.7× 18 908
Manya Sleeper 801 0.9× 374 0.6× 282 0.6× 109 0.5× 158 1.1× 25 1.2k
Xichen Zhang 575 0.6× 403 0.6× 357 0.8× 142 0.6× 94 0.6× 29 802
Anastasia Giachanou 504 0.6× 346 0.5× 583 1.3× 66 0.3× 81 0.5× 37 912
Johannes Kiesel 454 0.5× 375 0.6× 567 1.3× 80 0.3× 62 0.4× 36 815
Naeemul Hassan 469 0.5× 272 0.4× 402 0.9× 120 0.5× 118 0.8× 37 825
Pik-Mai Hui 585 0.7× 437 0.7× 301 0.7× 90 0.4× 204 1.4× 15 931
Aditi Gupta 666 0.7× 498 0.8× 298 0.7× 137 0.6× 197 1.3× 37 969
Liang Wu 598 0.7× 535 0.8× 575 1.3× 133 0.6× 118 0.8× 44 1.1k
Mark Tremayne 559 0.6× 194 0.3× 316 0.7× 30 0.1× 404 2.7× 22 968

Countries citing papers authored by Nadia Conroy

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Conroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Conroy

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Conroy. A scholar is included among the top collaborators of Nadia Conroy 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 Nadia Conroy. Nadia Conroy 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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