Kim Bateman

18 papers receiving 700 citations

Peers

Kim Bateman
Comparison fields: 5 of 66
  • Applied Microbiology and Biotechnology 174
  • Health Information Management 79
  • Critical Care and Intensive Care Medicine 75
  • Emergency Medicine 77
  • Epidemiology 243
Replace Michael S. Pulia with:
Michael S. Pulia United States
Lilia Soufir France
Anders D. Nielsen Israel
Linda J. Hough United States
Mary F. Wisniewski United States
Teresa Lemmer United States
N. Almanasreh Italy
Lucas Schulz United States
Nirav Shah United States
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Citations per field
00.5×4.4×
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Citations per year

Countries citing papers authored by Kim Bateman

Since Specialization
Citations

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

Fields of papers citing papers by Kim Bateman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2005173
2 2001163
3 2006108
4 200061
5 200543
6 201142
7 201239
8 200633
9 200021
10 200619
11
Understanding adoption of a personal health record in rural health care clinics: revealing barriers and facilitators of adoption including attributions about potential patient portal users and self-reported characteristics of early adopting users.
201316
12 200410
13
Clinical Decision Support and Appropriateness of Antimicrobial Prescribing
20119
14 20049
15 20106
16 20171
17 20141
18 20221
19 20090

About Kim Bateman

Kim Bateman is a scholar working on Applied Microbiology and Biotechnology, General Health Professions, Organizational Behavior and Human Resource Management, Health Information Management and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 755 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (5 papers), Healthcare Systems and Technology (3 papers), Adolescent and Pediatric Healthcare (1 paper), Health Policy Implementation Science (1 paper), Opioid Use Disorder Treatment (1 paper), Patient Satisfaction in Healthcare (1 paper), Patient Safety and Medication Errors (1 paper) and Telemedicine and Telehealth Implementation (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (174 citations), Health Information Management (79 citations), Critical Care and Intensive Care Medicine (75 citations), Emergency Medicine (77 citations) and Epidemiology (243 citations). Kim Bateman has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Nathan C. Dean, Michael Silver, David Hale, Matthew H. Samore, Michael Rubin, Gregory J. Stoddard, Brent C. James, Stephen C. Alder, Susan Cochella and Kurt Stevenson. Their work appears in journals such as CHEST Journal, Journal of the American Medical Informatics Association, Pain Medicine, The American Journal of Medicine and British journal of surgery.

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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