Eric S. Williams

8.9k citations
99 papers · 6.3k indexed · 4 hit papers · h-index 39

Eric S. Williams

92 papers receiving 5.9k citations

Hit Papers

A Cluster Randomized Trial of Inte...2691999202620082017200400600

Peers

Eric S. Williams
Comparison fields: 5 of 174
  • Research and Theory 127
  • General Health Professions 3.4k
  • Organizational Behavior and Human Resource Management 1.2k
  • Health Information Management 389
  • Emergency Medical Services 591
Replace Thomas R. Konrad with:
Thomas R. Konrad United States
Mark D. Schwartz United States
Karen Donelan United States
Kelly J. Devers United States
Jean E. Wallace Canada
Judith Belle Brown Canada
Paul Haidet United States
David C. Mohr United States
Russell Mannion United Kingdom
Rick Iedema Australia
Eric S. Williams relative to Thomas R. Konrad United States Thomas R. Konrad's profile →
Citations per field
00.5×2.7×
Thomas R. Konrad · 1×
Citations per year

Countries citing papers authored by Eric S. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric S. Williams. 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 Eric S. Williams. The network helps show where Eric S. Williams may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20191
2 20181
3 201626
4 201349
5 201314
6 201233
7 201235
8 201160
9 200977
10 200839
11 200761
12 20041
13 20041
14 2002164
15 200238
16
Primary care physicians' training and their community involvement.
199935
17 1999233
18 1999184
19
The effect of chronic uremia on fatty acid metabolism in the heart.
19788
20 19617

About Eric S. Williams

Eric S. Williams is a scholar working on Research and Theory, General Health Professions, Emergency Medical Services, Health Information Management and Gender Studies, having authored 99 papers that have together received 6.3k indexed citations. Recurring topics across this work include Healthcare professionals’ stress and burnout (29 papers), Patient Satisfaction in Healthcare (17 papers), Diversity and Career in Medicine (10 papers), Patient Safety and Medication Errors (9 papers), Cardiac electrophysiology and arrhythmias (9 papers), Primary Care and Health Outcomes (8 papers), Healthcare Quality and Management (7 papers) and Job Satisfaction and Organizational Behavior (7 papers). The work is most often cited by research in Research and Theory (127 citations), General Health Professions (3.4k citations), Organizational Behavior and Human Resource Management (1.2k citations), Health Information Management (389 citations) and Emergency Medical Services (591 citations). Eric S. Williams has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Mark Linzer, Thomas R. Konrad, Rajnandini Pillai, Chester A. Schriesheim, Mark D. Schwartz, Linda Baier Manwell, Donald E. Pathman, Julia E. McMurray, Martha Gerrity and Roger Brown. Their work appears in journals such as Journal of the American College of Cardiology, Health Care Management Review, Journal of General Internal Medicine, The Lancet and Medical Care.

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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