Cristina D. Kirkendall

551 total citations
10 papers, 399 citations indexed

About

Cristina D. Kirkendall is a scholar working on Pharmacology, Social Psychology and General Health Professions. According to data from OpenAlex, Cristina D. Kirkendall has authored 10 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pharmacology, 2 papers in Social Psychology and 2 papers in General Health Professions. Recurrent topics in Cristina D. Kirkendall's work include Musculoskeletal pain and rehabilitation (3 papers), Workplace Health and Well-being (2 papers) and Career Development and Diversity (2 papers). Cristina D. Kirkendall is often cited by papers focused on Musculoskeletal pain and rehabilitation (3 papers), Workplace Health and Well-being (2 papers) and Career Development and Diversity (2 papers). Cristina D. Kirkendall collaborates with scholars based in United States and Singapore. Cristina D. Kirkendall's co-authors include Nathan A. Bowling, Kevin J. Eschleman, Qiang Wang, Gene M. Alarcon, Oleksandr S. Chernyshenko, James Rounds, Christopher D. Nye, Stephen Stark, Fritz Drasgow and Bethany H. Bynum and has published in prestigious journals such as Journal of Occupational and Organizational Psychology, Military Medicine and Military Psychology.

In The Last Decade

Cristina D. Kirkendall

10 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cristina D. Kirkendall United States	5	268	179	96	74	65	10	399
Helen Hailin Zhao United States	9	220 0.8×	142 0.8×	84 0.9×	74 1.0×	58 0.9×	18	422
Megan M. Walsh Canada	8	289 1.1×	158 0.9×	128 1.3×	100 1.4×	74 1.1×	20	431
Ralph van den Bosch Netherlands	6	208 0.8×	187 1.0×	109 1.1×	55 0.7×	71 1.1×	6	370
Philipp Wolfgang Lichtenthaler Tanzania	6	358 1.3×	175 1.0×	128 1.3×	166 2.2×	57 0.9×	7	523
Marcos Gómez Chile	9	144 0.5×	175 1.0×	77 0.8×	71 1.0×	53 0.8×	15	353
Özge Tayfur Ekmekci Türkiye	9	225 0.8×	136 0.8×	125 1.3×	82 1.1×	68 1.0×	29	387
Kan Ouyang China	8	251 0.9×	155 0.9×	121 1.3×	37 0.5×	37 0.6×	15	341
Elham Anasori Cyprus	9	245 0.9×	129 0.7×	134 1.4×	75 1.0×	103 1.6×	10	429
Yiduo Shao United States	9	229 0.9×	133 0.7×	119 1.2×	101 1.4×	88 1.4×	13	452
Sherry S. Y. Aw Singapore	8	187 0.7×	133 0.7×	84 0.9×	94 1.3×	42 0.6×	10	324

Countries citing papers authored by Cristina D. Kirkendall

Since Specialization

Citations

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

Fields of papers citing papers by Cristina D. Kirkendall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina D. Kirkendall

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

All Works

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10 of 10 papers shown

Carretta, Thomas R., et al.. (2022). Identification and evaluation of criterion measurement methods. Military Psychology. 35(4). 308–320. 3 indexed citations

Gao, Hong‐Ying, et al.. (2022). Color Vision Testing, Standards, and Visual Performance of the U.S. Military. Military Medicine. 188(1-2). 49–57. 1 indexed citations

Carretta, Thomas R., et al.. (2022). Development of a performance taxonomy for entry-level military occupations. Military Psychology. 35(4). 283–294. 7 indexed citations

Kirkendall, Cristina D., et al.. (2020). Validation of the TAPAS for predicting in-unit soldier outcomes. Military Psychology. 32(1). 24–35. 6 indexed citations

Kirkendall, Cristina D., Christopher D. Nye, James Rounds, et al.. (2020). Adaptive vocational interest diagnostic: Informing and improving the job assignment process. Military Psychology. 32(1). 91–100. 14 indexed citations

Nye, Christopher D., James Rounds, Cristina D. Kirkendall, et al.. (2019). Adaptive Vocational Interest Diagnostic: Development and Initial Validation. 1 indexed citations

Hughes, Michael G., et al.. (2018). Tier One Performance Screen (TOPS) Initial Operational Test and Evaluation (IOT and E): An Examination of Attrition Over Time. 1 indexed citations

Carretta, Thomas R., et al.. (2014). Selection of UAS Personnel (SUPer) Phase I Report: Identification of Critical Skills, Abilities, and Other Characteristics and Recommendations for Test Battery Development. 1 indexed citations

Bowling, Nathan A. & Cristina D. Kirkendall. (2012). Workload: A Review of Causes, Consequences, and Potential Interventions. 221–238. 71 indexed citations

10.

Bowling, Nathan A., Kevin J. Eschleman, Qiang Wang, Cristina D. Kirkendall, & Gene M. Alarcon. (2009). A meta‐analysis of the predictors and consequences of organization‐based self‐esteem. Journal of Occupational and Organizational Psychology. 83(3). 601–626. 294 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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