Joseph P. Dexter

509 citations
19 papers · 231 indexed · h-index 9
Topics
Authorship Attribution and Profiling (6 papers)Natural Language Processing Techniques (6 papers)Protein Structure and Dynamics (3 papers)
Partner nations
United StatesMacaoIndia

In The Last Decade

Joseph P. Dexter

17 papers receiving 226 citations

Peers

Joseph P. Dexter
Comparison fields: 5 of 76
  • Molecular Biology 91
  • Plant Science 47
  • Artificial Intelligence 38
  • General Health Professions 32
  • Biomedical Engineering 23
Replace Daniel J. Parente with:
Daniel J. Parente United States
Yvonne Pittelkow Australia
Lauren N. Ross United States
Dan-Mircea Mirea United States
Lizong Deng China
Danning Wang China
Emily C. Parke New Zealand
Henry R. Hirsch United States
Sharmodeep Bhattacharyya United States
T. D. P. Brunet Canada
Joseph P. Dexter relative to Daniel J. Parente United States Daniel J. Parente's profile →
Citations per field
00.5×4.6×
Daniel J. Parente · 1×
Citations per year

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

19 of 19 papers shown
#WorkIndexed citations
1 0
2 0
3 8
4 3
5 6
6 45
7 59
8 6
9 1
10 13
11 3
12 2
13 11
14 11
15 13
16 2
17 19
18 23
19 6

About Joseph P. Dexter

Joseph P. Dexter is a scholar working on Health Informatics, Artificial Intelligence and Health Information Management, having authored 19 papers that have together received 231 indexed citations. Recurring topics across this work include Authorship Attribution and Profiling (6 papers), Natural Language Processing Techniques (6 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Health Informatics (10 citations), Health (20 citations) and Molecular Biology (91 citations). Joseph P. Dexter has collaborated with scholars based in United States, Macao and India. Frequent co-authors include Jeremy Gunawardena, Sudhakaran Prabakaran, Tathagata Dasgupta, Pramit Chaudhuri, Eva‐Maria S. Collins, Ping Xu, Megan N. McClean, Aaron M. Hosios, Patrick S. Ward and Matthew G. Vander Heiden. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Current Biology.

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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