D R Ripkey

573 total citations
25 papers, 469 citations indexed

About

D R Ripkey is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Computer Networks and Communications. According to data from OpenAlex, D R Ripkey has authored 25 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Public Health, Environmental and Occupational Health, 10 papers in General Health Professions and 3 papers in Computer Networks and Communications. Recurrent topics in D R Ripkey's work include Innovations in Medical Education (12 papers), Medical Education and Admissions (7 papers) and Health Sciences Research and Education (4 papers). D R Ripkey is often cited by papers focused on Innovations in Medical Education (12 papers), Medical Education and Admissions (7 papers) and Health Sciences Research and Education (4 papers). D R Ripkey collaborates with scholars based in United States. D R Ripkey's co-authors include David B. Swanson, Susan M. Case, Brian E. Clauser, Ronald J. Nungester, Raja Subhiyah, Stephen G. Clyman, Kathleen M. Mazor, Robert H. Glew, Danette McKinley and Matthew C. Holtman and has published in prestigious journals such as Academic Medicine, Journal of Educational Measurement and Measurement Interdisciplinary Research and Perspectives.

In The Last Decade

D R Ripkey

24 papers receiving 421 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
D R Ripkey United States	15	321	129	79	79	67	25	469
André De Champlain Canada	13	268 0.8×	139 1.1×	53 0.7×	27 0.3×	63 0.9×	23	480
André F. De Champlain United States	14	369 1.1×	231 1.8×	105 1.3×	27 0.3×	86 1.3×	40	669
Kimberly A. Swygert United States	13	222 0.7×	96 0.7×	27 0.3×	60 0.8×	55 0.8×	32	407
Polina Harik United States	12	216 0.7×	170 1.3×	77 1.0×	11 0.1×	73 1.1×	30	436
Raja Subhiyah United States	10	152 0.5×	57 0.4×	33 0.4×	41 0.5×	54 0.8×	21	303
Thomas R. O’Neill United States	12	169 0.5×	34 0.3×	43 0.5×	62 0.8×	30 0.4×	45	374
Janet Mee United States	12	181 0.6×	124 1.0×	46 0.6×	9 0.1×	50 0.7×	25	343
Michael J. Zieky United States	7	95 0.3×	48 0.4×	124 1.6×	7 0.1×	23 0.3×	9	475
Matthias Holzer Germany	11	242 0.8×	157 1.2×	9 0.1×	17 0.2×	62 0.9×	24	443
Kathleen Z. Holtzman United States	13	289 0.9×	115 0.9×	24 0.3×	73 0.9×	73 1.1×	18	369

Countries citing papers authored by D R Ripkey

Since Specialization

Citations

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

Fields of papers citing papers by D R Ripkey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D R Ripkey. 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 D R Ripkey. The network helps show where D R Ripkey may publish in the future.

Co-authorship network of co-authors of D R Ripkey

This figure shows the co-authorship network connecting the top 25 collaborators of D R Ripkey. A scholar is included among the top collaborators of D R Ripkey 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 D R Ripkey. D R Ripkey 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

Suh, Youngsuk, et al.. (2009). An Empirical Comparison of Five Linear Equating Methods for the NEAT Design. Measurement Interdisciplinary Research and Perspectives. 7(3-4). 147–173. 7 indexed citations

Kane, Michael T., et al.. (2009). Linear Equating for the NEAT Design: Parameter Substitution Models and Chained Linear Relationship Models. Measurement Interdisciplinary Research and Perspectives. 7(3-4). 125–146. 10 indexed citations

Suh, Youngsuk, et al.. (2009). An Evaluation of Five Linear Equating Methods for the NEAT Design. Measurement Interdisciplinary Research and Perspectives. 7(3-4). 174–193. 8 indexed citations

Ripkey, D R, et al.. (2004). Using the NBME Self-Assessments to Project Performance on USMLE Step 1 and Step 2: Impact of Test Administration Conditions. Academic Medicine. 79(Supplement). S55–S57. 15 indexed citations

Dillon, Gerard F., et al.. (2003). The Impact of Postgraduate Training and Timing on USMLE Step 3 Performance. Academic Medicine. 78(Supplement). S10–S12. 14 indexed citations

Swanson, David B., Susan M. Case, D R Ripkey, Brian E. Clauser, & Matthew C. Holtman. (2001). Relationships among Item Characteristics, Examine Characteristics, and Response Times on USMLE Step 1. Academic Medicine. 76(Supplement). S114–S116. 20 indexed citations

Holtman, Matthew C., David B. Swanson, D R Ripkey, & Susan M. Case. (2001). Using Basic Science Subject Tests to Identify Students at Risk for Failing Step 1. Academic Medicine. 76(Supplement). S48–S51. 16 indexed citations

Case, Susan M., Kathleen Z. Holtzman, & D R Ripkey. (2001). Developing an Item Pool for CBT. Academic Medicine. 76(Supplement). S111–S113. 8 indexed citations

Ripkey, D R, Susan M. Case, & David B. Swanson. (1999). Identifying students at risk for poor performance on the USMLE Step 2. Academic Medicine. 74(10). S45–8. 21 indexed citations

10.

Ripkey, D R, et al.. (1998). ALTERNATIVE APPROACHES TO PROGRAM EVALUATION. Academic Medicine. 73(10). S16–18. 19 indexed citations

11.

Ripkey, D R, Susan M. Case, & David B. Swanson. (1997). Predicting performances on the NBME Surgery Subject Test and USMLE Step 2. Academic Medicine. 72(Supplement 1). S31–S33. 30 indexed citations

12.

Case, Susan M., D R Ripkey, & David B. Swanson. (1997). The effects of psychiatry clerkship timing and length on measures of performance. Academic Medicine. 72(Supplement 1). S34–S36. 28 indexed citations

13.

Case, Susan M., D R Ripkey, & David B. Swanson. (1996). The relationship between clinical science performance in 20 medical schools and performance on Step 2 of the USMLE licensing examination. 1994-95 Validity Study Group for USMLE Step 1 and 2 Pass/Fail Standards. Academic Medicine. 71(1). S31–3. 19 indexed citations

14.

Swanson, David B., D R Ripkey, & Susan M. Case. (1996). Relationship between achievement in basic science coursework and performance on 1994 USMLE Step 1. 1994-95 Validity Study Group for USMLE Step 1/2 Pass/Fail Standards. Academic Medicine. 71(1). S28–30. 20 indexed citations

15.

Case, Susan M., et al.. (1996). Performance of the class of 1994 in the new era of USMLE. Academic Medicine. 71(10). S91–3. 33 indexed citations

16.

Ripkey, D R, Susan M. Case, & David B. Swanson. (1996). A “new” item format for assessing aspects of clinical competence. Academic Medicine. 71(10). S34–6. 11 indexed citations

17.

Ripkey, D R & Susan M. Case. (1996). Examineesʼ perceptions of factors influencing their performance on USMLE Step 2. Academic Medicine. 71(1). S34–6. 3 indexed citations

18.

Clauser, Brian E., Raja Subhiyah, Ronald J. Nungester, et al.. (1995). Scoring a Performance‐Based Assessment by Modeling the Judgments of Experts. Journal of Educational Measurement. 32(4). 397–415. 48 indexed citations

19.

Case, Susan M., David B. Swanson, & D R Ripkey. (1994). Comparison of items in five-option and extended-matching formats for assessment of diagnostic skills. Academic Medicine. 69(10). S1–3. 39 indexed citations

20.

Clauser, Brian E., et al.. (1993). A comparison of pass/fail classifications made with scores from the NBME standardized-patient examination and Part II examination. Academic Medicine. 68(10). S7–9. 17 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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