Joseph P. Dexter

56 total papers · 497 total citations
19 papers, 225 citations indexed

About

Joseph P. Dexter is a scholar working on Artificial Intelligence, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Joseph P. Dexter has authored 19 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Molecular Biology and 2 papers in Sociology and Political Science. Recurrent topics in Joseph P. Dexter's work include Authorship Attribution and Profiling (6 papers), Natural Language Processing Techniques (6 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Joseph P. Dexter is often cited by papers focused on Authorship Attribution and Profiling (6 papers), Natural Language Processing Techniques (6 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Joseph P. Dexter collaborates with scholars based in United States, Macao and France. Joseph P. Dexter's co-authors include Jeremy Gunawardena, Sudhakaran Prabakaran, Tathagata Dasgupta, Pramit Chaudhuri, Eva‐Maria S. Collins, Ping Xu, Megan N. McClean, Matthew G. Vander Heiden, Neil Kalwani and Ashish Sarraju and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Current Biology.

In The Last Decade

Joseph P. Dexter

17 papers receiving 219 citations

Author Peers

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

Author Last Decade Papers Cites
Joseph P. Dexter 89 47 38 32 22 19 225
Henry R. Hirsch 101 1.1× 8 0.2× 5 0.1× 20 0.6× 25 1.1× 36 313
Hakizumwami Birali Runesha 66 0.7× 33 0.7× 6 0.2× 3 0.1× 14 0.6× 21 297
Emanuele Ratti 110 1.2× 6 0.1× 45 1.2× 10 0.3× 13 0.6× 30 298
David Wadden 151 1.7× 12 0.3× 81 2.1× 6 0.2× 8 0.4× 13 280
Daniel Robertson 109 1.2× 42 0.9× 54 1.4× 6 0.2× 7 0.3× 15 321
Emily C. Parke 72 0.8× 10 0.2× 5 0.1× 6 0.2× 12 0.5× 18 218
T. D. P. Brunet 189 2.1× 57 1.2× 40 1.1× 3 0.1× 6 0.3× 15 301
Yiru Jiang 75 0.8× 5 0.1× 8 0.2× 30 0.9× 13 0.6× 23 240
Nicole Kelp 33 0.4× 3 0.1× 17 0.4× 5 0.2× 8 0.4× 26 243
Qiu Renzong 206 2.3× 12 0.3× 10 0.3× 31 1.0× 3 0.1× 22 332

Countries citing papers authored by Joseph P. Dexter

Since Specialization
Citations

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

Fields of papers citing papers by Joseph P. Dexter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph P. Dexter. 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 Joseph P. Dexter. The network helps show where Joseph P. Dexter may publish in the future.

Co-authorship network of co-authors of Joseph P. Dexter

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026