W Kabat

453 citations
11 papers · 319 · h-index 6

Impact in

Papers in

W Kabat

10 papers receiving 297 citations

Peers

W Kabat
Comparison fields: 5 of 72
  • Industrial and Manufacturing Engineering 107
  • Infectious Diseases 50
  • Public Health, Environmental and Occupational Health 71
  • Immunology 42
  • Clinical Biochemistry 11
Replace Shamim Ahmed with:
Shamim Ahmed Bangladesh
Madiha Ashraf United States
Stephen Vaughan Canada
Huizhu Wang China
John Jenn-Yenn Lu Taiwan
Huaisheng Chen China
W. Eric Wong United States
Sergio Diz Spain
Chukwudi Cosmos Maha United States
Heng Gan Canada
W Kabat relative to Shamim Ahmed Bangladesh Shamim Ahmed's profile →
Citations per field
00.5×8.9×
Shamim Ahmed · 1×
Citations per year

Countries citing papers authored by W Kabat

Since Specialization
Citations

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

Fields of papers citing papers by W Kabat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside W Kabat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with W Kabat Line = papers co-authored together W Kabat links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1986118
2 199558
3 200452
4 199350
5 198526
6 19929
7 20203
8 20201
9 19971
10
[Rapid detection of drug resistant HIV -1 to reverse transcriptase and protease inhibitors in HIV-infected patients receiving highly active antiretroviral therapies].
20001
11
LOGIC BASED INFORMATION SYSTEM SPECIFICATION VERIFICATION
19860

About W Kabat

W Kabat is a scholar working on Infectious Diseases, Food Science, Artificial Intelligence, Public Health, Environmental and Occupational Health and Biomedical Engineering, having authored 11 papers that have together received 319 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (2 papers), HIV/AIDS drug development and treatment (2 papers), Probiotics and Fermented Foods (2 papers), Logic, programming, and type systems (2 papers), Advanced Data Processing Techniques (1 paper), Advanced Scientific Research Methods (1 paper), Advanced Database Systems and Queries (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (107 citations), Infectious Diseases (50 citations), Public Health, Environmental and Occupational Health (71 citations), Immunology (42 citations) and Clinical Biochemistry (11 citations). W Kabat has collaborated with scholars based in United States, Philippines and France. Frequent co-authors include L. Wos, Bruce Parrello, Moshe Arditi, Stanford T. Shulman, Mayumi Fukuyama, Keishi Miwa, Trevor Williams, Hideo Igarashi, Masaru Terai and Jill Beyer. Their work appears in journals such as The Journal of Infectious Diseases, Journal of Automated Reasoning, Journal of Clinical Microbiology, Clinical Infectious Diseases and Journal of the Association for Information Systems.

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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