Reed G. Williams

6.1k total citations
107 papers, 4.2k citations indexed

About

Reed G. Williams is a scholar working on Public Health, Environmental and Occupational Health, Surgery and Family Practice. According to data from OpenAlex, Reed G. Williams has authored 107 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Public Health, Environmental and Occupational Health, 34 papers in Surgery and 33 papers in Family Practice. Recurrent topics in Reed G. Williams's work include Innovations in Medical Education (67 papers), Clinical Reasoning and Diagnostic Skills (33 papers) and Surgical Simulation and Training (32 papers). Reed G. Williams is often cited by papers focused on Innovations in Medical Education (67 papers), Clinical Reasoning and Diagnostic Skills (33 papers) and Surgical Simulation and Training (32 papers). Reed G. Williams collaborates with scholars based in United States, Australia and Bahrain. Reed G. Williams's co-authors include Gary L. Dunnington, Debra L. Klamen, John E. Ware, Margaret L. Boehler, William C. McGaghie, Nicole K. Roberts, Cathy J. Schwind, Jerry A. Colliver, Michael J. Kim and Hilary Sanfey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Surgery and Journal of Educational Psychology.

In The Last Decade

Reed G. Williams

104 papers receiving 3.9k citations

Peers

Reed G. Williams

PHEOH

SURGE

RNMI

PHYSI

Gary L. Dunnington United States

Debra A. DaRosa United States

Susan R. Swing United States

Lorelei Lingard Canada

Fedde Scheele Netherlands

Emil Petrusa United States

William Iobst United States

Jonathan Sherbino Canada

Georges Bordage United States

Carol‐Anne Moulton Canada

Gary L. Dunnington United States

Reed G. Williams

2.3k ×0.8

PHEOH

2.2k ×1.6

SURGE

482 ×0.4

525 ×0.7

RNMI

690 ×1.2

PHYSI

Citations per year, relative to Reed G. Williams Reed G. Williams (= 1×) peers Gary L. Dunnington

Countries citing papers authored by Reed G. Williams

Since Specialization

Citations

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

Fields of papers citing papers by Reed G. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reed G. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Reed G. Williams. A scholar is included among the top collaborators of Reed G. Williams 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 Reed G. Williams. Reed G. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Williams, Reed G., et al.. (2023). Deep learning-based semantic segmentation of machinable volumes for cyber manufacturing service. Journal of Manufacturing Systems. 72. 16–25. 4 indexed citations

Scully, Rebecca E., Mary C. Schuller, Amy Yang, et al.. (2019). Value and Barriers to Use of the SIMPL Tool for Resident Feedback. Journal of surgical education. 76(3). 620–627. 40 indexed citations

Fryer, Jonathan P., Mary C. Schuller, Shari L. Meyerson, et al.. (2018). Identifying and Addressing High Priority Issues in General Surgery Training and Education. Journal of surgical education. 76(1). 50–54.

Williams, Reed G. & Debra L. Klamen. (2015). Twenty Questions game performance on medical school entrance predicts clinical performance. Medical Education. 49(9). 920–927. 2 indexed citations

Williams, Reed G., Xiaohong Chen, Hilary Sanfey, et al.. (2014). The Measured Effect of Delay in Completing Operative Performance Ratings on Clarity and Detail of Ratings Assigned. Journal of surgical education. 71(6). e132–e138. 63 indexed citations

Williams, Reed G., et al.. (2014). A taxonomy of surgeons' guiding behaviors in the operating room. The American Journal of Surgery. 209(1). 15–20. 30 indexed citations

Roberts, Nicole K., Michael Brenner, Reed G. Williams, Michael J. Kim, & Gary L. Dunnington. (2012). Capturing the teachable moment: A grounded theory study of verbal teaching interactions in the operating room. Surgery. 151(5). 643–650. 55 indexed citations

Chen, Xiaohong, Reed G. Williams, Hilary Sanfey, & Gary L. Dunnington. (2011). How do supervising surgeons evaluate guidance provided in the operating room?. The American Journal of Surgery. 203(1). 44–48. 53 indexed citations

Swing, Susan R., Stephen G. Clyman, Eric S. Holmboe, & Reed G. Williams. (2009). Advancing Resident Assessment in Graduate Medical Education. Journal of Graduate Medical Education. 1(2). 278–286. 125 indexed citations

10.

DaRosa, Debra A., David A. Rogers, Reed G. Williams, et al.. (2008). Impact of a Structured Skills Laboratory Curriculum on Surgery Residentsʼ Intraoperative Decision-Making and Technical Skills. Academic Medicine. 83(Supplement). S68–S71. 24 indexed citations

11.

Hamdy, Hossam, Kameshwar Prasad, M. Brownell Anderson, et al.. (2006). BEME systematic review: Predictive values of measurements obtained in medical schools and future performance in medical practice. Medical Teacher. 28(2). 103–116. 146 indexed citations

12.

Williams, Reed G., Gary L. Dunnington, & Debra L. Klamen. (2005). Forecasting Residents??? Performance???Partly Cloudy. Academic Medicine. 80(5). 415–422. 29 indexed citations

13.

Williams, Reed G., Cathy J. Schwind, Gary L. Dunnington, et al.. (2005). APPLIED RESEARCH: The Effects of Group Dynamics on Resident Progress Committee Deliberations. Teaching and Learning in Medicine. 17(2). 96–100. 15 indexed citations

14.

Williams, Reed G., Steven J. Verhulst, Jerry A. Colliver, & Gary L. Dunnington. (2005). Assuring the reliability of resident performance appraisals: More items or more observations?. Surgery. 137(2). 141–147. 49 indexed citations

15.

Williams, Reed G. & Gary L. Dunnington. (2004). Prognostic value of resident clinical performance ratings. Journal of the American College of Surgeons. 199(4). 620–627. 9 indexed citations

16.

Williams, Reed G.. (2004). Have Standardized Patient Examinations Stood the Test of Time and Experience?. Teaching and Learning in Medicine. 16(2). 215–222. 45 indexed citations

17.

Boehler, Margaret L., David A. Rogers, Cathy J. Schwind, Reed G. Williams, & Gary L. Dunnington. (2003). Who are the surgery clerkship directors and what are their educational needs?. The American Journal of Surgery. 185(3). 216–218. 16 indexed citations

18.

Williams, Reed G., et al.. (1999). The Patient Findings Questionnaire. Academic Medicine. 74(10). 1118–24. 13 indexed citations

19.

Ware, John E. & Reed G. Williams. (1975). The Dr. Fox effect. Academic Medicine. 50(2). 149–56. 130 indexed citations

20.

Williams, Reed G., et al.. (1973). Constructing Higher Level Multiple Choice Questions Covering Factual Content.. Educational Technology archive. 1 indexed citations

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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