Bryant T. Karras

1.8k citations
41 papers · 1.3k indexed · h-index 13

Bryant T. Karras

40 papers receiving 1.2k citations

Peers

Bryant T. Karras
Comparison fields: 5 of 122
  • Public Health, Environmental and Occupational Health 377
  • General Health Professions 314
  • Surgery 281
  • Oncology 240
  • Molecular Biology 228
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Countries citing papers authored by Bryant T. Karras

Since Specialization
Citations

This map shows the geographic impact of Bryant T. Karras'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 Bryant T. Karras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryant T. Karras more than expected).

Fields of papers citing papers by Bryant T. Karras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryant T. Karras. 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 Bryant T. Karras. The network helps show where Bryant T. Karras may publish in the future.

Co-authorship network of co-authors of Bryant T. Karras

This figure shows the co-authorship network connecting the top 25 collaborators of Bryant T. Karras. A scholar is included among the top collaborators of Bryant T. Karras 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 Bryant T. Karras. Bryant T. Karras 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 0
2 23
3 4
4 5
5 6
6 2
7 2
8 94
9
Collection and integration of clinical data for surveillance.
4
10 52
11
Diagnoses, syndromes, and diseases: a knowledge representation problem.
36
12 9
13
National Pharmaceutical Stockpile drill analysis using XML data collection on wireless Java phones.
4
14
Development of a Wireless Web-based Infrastructure to Support Collection of Patient Self-reported QoL and Symptom Information in a Clinical Setting.
1
15
SuML: A Survey Markup Language for Generalized Survey Encoding
2
16
Cancer Electronic Quality of Life Project: Delivering Wireless Web-based Technology at the Point of Care
1
17 113
18
Syndromic Surveillance for Bioterrorism Using Computerized Discharge Diagnosis Databases
5
19 189
20
Palm Asthma: Design of a System for the Implementation of Asthma Guidelines on Handheld Computers
1

About Bryant T. Karras

Bryant T. Karras is a scholar working on Health Information Management, General Health Professions and Biophysics, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (10 papers), Biomedical Text Mining and Ontologies (5 papers) and Electronic Health Records Systems (5 papers). The work is most often cited by research in Health Information Management (172 citations), Orthopedics and Sports Medicine (203 citations) and Medical Terminology (4 citations). Bryant T. Karras has collaborated with scholars based in United States, Canada and Peru. Frequent co-authors include William B. Lober, James T. Tufano, Daniel Fritschy, Dale M. Daniel, Rafael Neiman, Savio L‐Y. Woo, Robert C. More, Richard N. Shiffman, Mary Austin-Seymour and Donna L. Berry. Their work appears in journals such as Journal of Clinical Oncology, The American Journal of Sports Medicine and Journal of Medical Internet Research.

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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