Michael E. Bales

22 papers receiving 547 citations

Peers

Michael E. Bales
Comparison fields: 5 of 113
  • Statistics, Probability and Uncertainty 66
  • Health Information Management 54
  • General Health Professions 93
  • Issues, ethics and legal aspects 8
  • Human-Computer Interaction 18
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Countries citing papers authored by Michael E. Bales

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Bales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Bales. 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 Michael E. Bales. The network helps show where Michael E. Bales may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael E. Bales, 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 Michael E. Bales Line = papers co-authored together Michael E. Bales links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015151
2 200569
3 200260
4 200356
5 200635
6 201429
7
Method for the development of data visualizations for community members with varying levels of health literacy.
201327
8 202024
9 201119
10 200517
11 201117
12 201817
13 200714
14 201414
15 202011
16
Extending a medical language processing system to the functional status domain.
20058
17
Understanding interdisciplinary health sciences collaborations: a campus-wide survey of obesity experts.
20087
18 20216
19
Evaluation of a prototype search and visualization system for exploring scientific communities.
20094
20 20202

About Michael E. Bales

Michael E. Bales is a scholar working on Statistics, Probability and Uncertainty, Health Information Management, General Health Professions, Computer Vision and Pattern Recognition and Molecular Biology, having authored 23 papers that have together received 589 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (8 papers), Biomedical Text Mining and Ontologies (4 papers), Medical Coding and Health Information (3 papers), Data Visualization and Analytics (3 papers), Health Literacy and Information Accessibility (2 papers), Communication and COVID-19 Impact (1 paper), Bacillus and Francisella bacterial research (1 paper) and Social Media in Health Education (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (66 citations), Health Information Management (54 citations), General Health Professions (93 citations), Issues, ethics and legal aspects (8 citations) and Human-Computer Interaction (18 citations). Michael E. Bales has collaborated with scholars based in United States and Canada. Frequent co-authors include Stephen B. Johnson, Suzanne Bakken Henry, Jacqueline A. Merrill, Sunmoo Yoon, Adriana Arcia, Janet Woollen, Niurka M. Suero-Tejeda, Rita Kukafka, David A. Ashford and Andrew L. Dannenberg. Their work appears in journals such as Journal of Biomedical Informatics, Journal of the American Medical Informatics Association, PLoS ONE, Emerging infectious diseases and Journal of the Medical Library Association JMLA.

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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