Dana Warmsley

16 total papers · 2.8k total citations
7 papers, 1.4k citations indexed

About

Dana Warmsley is a scholar working on Artificial Intelligence, Control and Systems Engineering and Ocean Engineering. According to data from OpenAlex, Dana Warmsley has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Control and Systems Engineering and 2 papers in Ocean Engineering. Recurrent topics in Dana Warmsley's work include Anomaly Detection Techniques and Applications (3 papers), Topic Modeling (2 papers) and Reservoir Engineering and Simulation Methods (2 papers). Dana Warmsley is often cited by papers focused on Anomaly Detection Techniques and Applications (3 papers), Topic Modeling (2 papers) and Reservoir Engineering and Simulation Methods (2 papers). Dana Warmsley collaborates with scholars based in United States and Qatar. Dana Warmsley's co-authors include Michael W. Macy, Ingmar Weber, Thomas Davidson, Jiejun Xu, Tsai-Ching Lu, Hanghang Tong, Sam Johnson, Aruna Jammalamadaka, Nigel Stepp and Tiffany Kim and has published in prestigious journals such as Proceedings of the International AAAI Conference on Web and Social Media and 2022 IEEE International Conference on Big Data (Big Data).

In The Last Decade

Dana Warmsley

5 papers receiving 1.3k citations

Hit Papers

Automated Hate Speech Det... 2017 2026 2020 2023 2017 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
Dana Warmsley 1.3k 330 295 205 186 7 1.4k
Thomas Davidson 1.3k 1.0× 331 1.0× 305 1.0× 204 1.0× 195 1.0× 13 1.4k
Zeerak Waseem 1.3k 1.0× 353 1.1× 276 0.9× 162 0.8× 180 1.0× 8 1.3k
Nithum Thain 971 0.7× 223 0.7× 190 0.6× 92 0.4× 167 0.9× 20 1.1k
Michael Wiegand 1.5k 1.1× 325 1.0× 254 0.9× 113 0.6× 152 0.8× 65 1.5k
Chikashi Nobata 1.4k 1.1× 350 1.1× 157 0.5× 156 0.8× 76 0.4× 40 1.6k
Clayton A. Davis 408 0.3× 527 1.6× 343 1.2× 179 0.9× 771 4.1× 9 1.3k
Shagun Jhaver 754 0.6× 218 0.7× 610 2.1× 29 0.1× 597 3.2× 27 1.2k
Robert D. Rodman 357 0.3× 202 0.6× 139 0.5× 126 0.6× 79 0.4× 41 1.6k
Hugo Liu 647 0.5× 196 0.6× 136 0.5× 55 0.3× 275 1.5× 23 1.1k
Noah A. Smith 719 0.5× 203 0.6× 240 0.8× 95 0.5× 382 2.1× 21 1.3k

Countries citing papers authored by Dana Warmsley

Since Specialization
Citations

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

Fields of papers citing papers by Dana Warmsley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Warmsley

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