Samuel C. Karpen

485 total citations
19 papers, 280 citations indexed

About

Samuel C. Karpen is a scholar working on Public Health, Environmental and Occupational Health, Social Psychology and Geriatrics and Gerontology. According to data from OpenAlex, Samuel C. Karpen has authored 19 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 4 papers in Social Psychology and 4 papers in Geriatrics and Gerontology. Recurrent topics in Samuel C. Karpen's work include Innovations in Medical Education (8 papers), Medical Education and Admissions (5 papers) and Pharmaceutical Practices and Patient Outcomes (4 papers). Samuel C. Karpen is often cited by papers focused on Innovations in Medical Education (8 papers), Medical Education and Admissions (5 papers) and Pharmaceutical Practices and Patient Outcomes (4 papers). Samuel C. Karpen collaborates with scholars based in United States, Netherlands and Canada. Samuel C. Karpen's co-authors include Edward R. Hirt, Lile Jia, Robert J. Rydell, Patrick Egan, Nicholas E. Hagemeier, Rosalyn Padiyara Vellurattil, Kelly C. Lee, Frank R. Kardes, Courtney D. Hall and Bruce E. Pfeiffer and has published in prestigious journals such as Psychological Science, Journal of Experimental Social Psychology and Age and Ageing.

In The Last Decade

Samuel C. Karpen

17 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samuel C. Karpen United States	8	88	70	63	58	47	19	280
Daniel J. Phipps Australia	10	94 1.1×	186 2.7×	110 1.7×	29 0.5×	45 1.0×	38	385
Sarah McCord United States	9	220 2.5×	22 0.3×	32 0.5×	29 0.5×	16 0.3×	19	559
Hilbrand Oldenhuis Netherlands	7	58 0.7×	92 1.3×	99 1.6×	24 0.4×	20 0.4×	18	273
Ben Albert Steward Australia	8	122 1.4×	46 0.7×	44 0.7×	52 0.9×	19 0.4×	11	274
Mihaela Chraif Romania	11	144 1.6×	37 0.5×	53 0.8×	54 0.9×	20 0.4×	52	362
Fabián Javier Marín Rueda Brazil	9	88 1.0×	97 1.4×	40 0.6×	42 0.7×	20 0.4×	129	453
Jean‐François Verlhiac France	8	119 1.4×	65 0.9×	75 1.2×	35 0.6×	29 0.6×	25	228
Zachary H. Morford United States	8	38 0.4×	27 0.4×	86 1.4×	14 0.2×	13 0.3×	12	291
D’Arcy J. Reynolds United States	7	146 1.7×	138 2.0×	109 1.7×	73 1.3×	34 0.7×	13	364

Countries citing papers authored by Samuel C. Karpen

Since Specialization

Citations

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

Fields of papers citing papers by Samuel C. Karpen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel C. Karpen. 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 Samuel C. Karpen. The network helps show where Samuel C. Karpen may publish in the future.

Co-authorship network of co-authors of Samuel C. Karpen

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

All Works

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19 of 19 papers shown

Karpen, Samuel C.. (2022). The Multiple Selves Framework in Transformative Learning. Journal of Transformative Education. 20(4). 268–280. 2 indexed citations

Karpen, Samuel C., et al.. (2022). Predictive Value of Veterinary Student Application Data for Assessing Adjustment to Year 1 of Veterinary School. 5(2). 41–45. 1 indexed citations

Reed, Rachel, et al.. (2022). Comparison of Traditional Lecture-Based Learning versus Interactive Electronic Book Learning in Veterinary Student Comprehension of Inhalant Anesthetic Administration, Uptake, and Elimination. Journal of Veterinary Medical Education. 50(1). 121–125. 1 indexed citations

Holladay, Steven D., Robert M. Gogal, & Samuel C. Karpen. (2021). Brief Communication: Predictive Value of Veterinary Student Application Data for Performance in Clinical Year 4. Journal of Veterinary Medical Education. 49(6). 748–750.

Anson, Eric R., Elizabeth D. Thompson, Samuel C. Karpen, et al.. (2018). Visual biofeedback training reduces quantitative drugs index scores associated with fall risk. BMC Research Notes. 11(1). 750–750.

Rudolph, Michael, Kelly C. Lee, Mitra Assemi, et al.. (2018). Surveying the current landscape of assessment structures and resources in US schools and colleges of pharmacy. Currents in Pharmacy Teaching and Learning. 11(2). 117–128. 7 indexed citations

Karpen, Samuel C., et al.. (2018). Comparing Student Performance on the Old vs New Versions of the NAPLEX. American Journal of Pharmaceutical Education. 82(3). 6408–6408. 8 indexed citations

Karpen, Samuel C., et al.. (2018). The Application of Classification Trees to Pharmacy School Admissions. American Journal of Pharmaceutical Education. 82(7). 6980–6980. 1 indexed citations

Lee, Kelly C., Michael Rudolph, Mitra Assemi, et al.. (2018). Factors associated with cultures of assessment at US schools and colleges of pharmacy. Currents in Pharmacy Teaching and Learning. 11(2). 129–138. 5 indexed citations

10.

Hall, Courtney D., et al.. (2017). Development and evaluation of the Medication-based Index of physical Function (MedIP). Age and Ageing. 46(5). 761–766. 4 indexed citations

11.

Karpen, Samuel C., et al.. (2017). A Multidisciplinary Assessment of Faculty Accuracy and Reliability with Bloom's Taxonomy.. 12. 96–105. 3 indexed citations

12.

Karpen, Samuel C.. (2017). The Social Psychology of Biased Self-Assessment. American Journal of Pharmaceutical Education. 82(5). 6299–6299. 67 indexed citations

13.

Karpen, Samuel C. & Nicholas E. Hagemeier. (2017). Assessing Faculty and Student Interpretations of AACP Survey Items with Cognitive Interviewing. American Journal of Pharmaceutical Education. 81(5). 88–88. 6 indexed citations

14.

Karpen, Samuel C., et al.. (2016). Assessing the inter-rater reliability and accuracy of pharmacy faculty’s Bloom’s Taxonomy classifications. Currents in Pharmacy Teaching and Learning. 8(6). 885–888. 16 indexed citations

15.

Pfeiffer, Bruce E., et al.. (2014). No product is perfect: The positive influence of acknowledging the negative. Thinking & Reasoning. 20(4). 500–512. 4 indexed citations

16.

Karpen, Samuel C., Lile Jia, & Robert J. Rydell. (2011). Discrepancies between implicit and explicit attitude measures as an indicator of attitude strength. European Journal of Social Psychology. 42(1). 24–29. 26 indexed citations

17.

Egan, Patrick, Edward R. Hirt, & Samuel C. Karpen. (2011). Taking a fresh perspective: Vicarious restoration as a means of recovering self-control. Journal of Experimental Social Psychology. 48(2). 457–465. 25 indexed citations

18.

Jia, Lile, Samuel C. Karpen, & Edward R. Hirt. (2011). Beyond Anti-Muslim Sentiment. Psychological Science. 22(10). 1327–1335. 16 indexed citations

19.

Jia, Lile, Edward R. Hirt, & Samuel C. Karpen. (2009). Lessons from a Faraway land: The effect of spatial distance on creative cognition. Journal of Experimental Social Psychology. 45(5). 1127–1131. 88 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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