Richard Segal

1.3k citations
26 papers · 814 indexed · h-index 15
Topics
Spam and Phishing Detection (5 papers)Artificial Intelligence in Games (4 papers)Text and Document Classification Technologies (4 papers)
Partner nations
United StatesCanada

In The Last Decade

Richard Segal

26 papers receiving 741 citations

Peers

Richard Segal
Comparison fields: 5 of 109
  • Artificial Intelligence 407
  • Information Systems 254
  • Economics and Econometrics 110
  • Computer Networks and Communications 106
  • Information Systems and Management 89
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Citations per field
00.5×3.9×
Kenneth McGarry · 1×
Citations per year

Countries citing papers authored by Richard Segal

Since Specialization
Citations

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

Fields of papers citing papers by Richard Segal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Segal

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 55
2 34
3
Bayesian inference in Monte-Carlo tree search
7
4
Combining Global and Personal Anti-Spam Filtering.
9
5 24
6
SMTP Path Analysis.
25
7
IBM SpamGuru on the TREC 2005 Spam Track
3
8
Managing Customer Opt-Outs in a Complex Global Environment.
1
9 46
10
Predicting physician guideline compliance: an assessment of motivators and perceived barriers.
75
11
A randomized trial of an acid-peptic disease management program in a managed care environment.
12
12
Incremental Learning in SwiftFile
55
13
MailCat: an intelligent assistant for organizing e-mail
14
14 112
15 3
16
Learning decision lists using homogeneous rules
37
17
The Vulnerable Consumer in the High Blood Pressure Drug Market: Bothered But Satisfied?
4
18 2
19 55
20 41

About Richard Segal

Richard Segal is a scholar working on Geriatrics and Gerontology, Information Systems and Artificial Intelligence, having authored 26 papers that have together received 814 indexed citations. Recurring topics across this work include Spam and Phishing Detection (5 papers), Artificial Intelligence in Games (4 papers) and Text and Document Classification Technologies (4 papers). The work is most often cited by research in Information Systems and Management (89 citations), Artificial Intelligence (407 citations) and Information Systems (254 citations). Richard Segal has collaborated with scholars based in United States and Canada. Frequent co-authors include Jeffrey O. Kephart, Oren Etzioni, Patricia Riddle, Martin Müller, Broderick Arneson, Charles D. Hepler, Earlene E. Lipowski, Carole L. Kimberlin, Barry Leiba and Hend Mansoor. Their work appears in journals such as Medical Care, American Journal of Health-System Pharmacy and Heart & Lung.

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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