Dana Warmsley

2.8k total citations · 1 hit paper
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), Advanced Data Processing Techniques (2 papers) and Topic Modeling (2 papers). Dana Warmsley is often cited by papers focused on Anomaly Detection Techniques and Applications (3 papers), Advanced Data Processing Techniques (2 papers) and Topic Modeling (2 papers). Dana Warmsley collaborates with scholars based in United States and Qatar. Dana Warmsley's co-authors include Thomas Davidson, Ingmar Weber, Michael W. Macy, Jiejun Xu, Tsai-Ching Lu, Hanghang Tong, David Huber, Aruna Jammalamadaka, Tiffany Kim and Sam Johnson 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

6 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Automated Hate Speech Detection and the Problem of Offensive Language

2017 1.4k citations Thomas Davidson, Dana Warmsley et al. Proceedings of the International AAAI Conference on Web and Social Media profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dana Warmsley United States	2	1.3k	332	298	207	188	7	1.4k
Thomas Davidson United States	6	1.4k 1.0×	332 1.0×	308 1.0×	205 1.0×	197 1.0×	13	1.5k
Zeerak Waseem United Kingdom	5	1.3k 1.0×	355 1.1×	277 0.9×	162 0.8×	181 1.0×	8	1.4k
Michael Wiegand Germany	12	1.5k 1.1×	326 1.0×	255 0.9×	114 0.6×	153 0.8×	65	1.6k
Sérgio Nunes Portugal	9	713 0.5×	212 0.6×	177 0.6×	88 0.4×	109 0.6×	40	849
Paula Fortuna Spain	7	819 0.6×	191 0.6×	201 0.7×	91 0.4×	108 0.6×	10	864
Björn Gambäck Norway	18	1.3k 1.0×	250 0.8×	118 0.4×	115 0.6×	118 0.6×	91	1.5k
Debora Nozza Italy	14	906 0.7×	139 0.4×	127 0.4×	46 0.2×	118 0.6×	38	1.1k
Hamdy Mubarak Qatar	21	1.8k 1.4×	439 1.3×	127 0.4×	162 0.8×	192 1.0×	66	1.9k
Manuela Sanguinetti Italy	9	942 0.7×	174 0.5×	188 0.6×	52 0.3×	111 0.6×	29	978
Hind Almerekhi Qatar	11	411 0.3×	167 0.5×	122 0.4×	63 0.3×	140 0.7×	23	571

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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7 of 7 papers shown

1.

Warmsley, Dana, et al.. (2023). Learning Explainable Multi-view Representations for Malware Authorship Attribution. 3099–3106. 1 indexed citations

2.

Warmsley, Dana, et al.. (2022). A Survey of Explainable Graph Neural Networks for Cyber Malware Analysis. 2022 IEEE International Conference on Big Data (Big Data). 2932–2939. 5 indexed citations

3.

Jammalamadaka, Aruna, et al.. (2020). Causal Maps for Multi-Document Summarization. 4437–4445.

4.

Huber, David, Nigel Stepp, Aruna Jammalamadaka, et al.. (2019). MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events. 11. 5683–5687. 1 indexed citations

5.

Huber, David, Sam Johnson, Nigel Stepp, et al.. (2019). MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events. 11. 2028–2032. 1 indexed citations

6.

Warmsley, Dana, Jiejun Xu, & Tsai-Ching Lu. (2018). From Gamergate to FIFA: Identifying Polarized Groups in Online Social Media. 133. 3991–3995. 1 indexed citations

7.

Davidson, Thomas, Dana Warmsley, Michael W. Macy, & Ingmar Weber. (2017). Automated Hate Speech Detection and the Problem of Offensive Language. Proceedings of the International AAAI Conference on Web and Social Media. 11(1). 512–515. 1401 indexed citations breakdown →

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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