Frank M. Webbe

2.3k total citations
40 papers, 1.7k citations indexed

About

Frank M. Webbe is a scholar working on Epidemiology, Emergency Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Frank M. Webbe has authored 40 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 11 papers in Emergency Medicine and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Frank M. Webbe's work include Traumatic Brain Injury Research (24 papers), Cardiac Arrest and Resuscitation (10 papers) and Sports injuries and prevention (7 papers). Frank M. Webbe is often cited by papers focused on Traumatic Brain Injury Research (24 papers), Cardiac Arrest and Resuscitation (10 papers) and Sports injuries and prevention (7 papers). Frank M. Webbe collaborates with scholars based in United States, United Kingdom and Canada. Frank M. Webbe's co-authors include Jeffrey T. Barth, Tanya Kaushik, David M. Erlanger, Donna K. Broshek, Jason R. Freeman, Adriana Seelye, Katherine Wild, Diane Howieson, Jeffrey Kaye and Adrienne D. Witol and has published in prestigious journals such as Journal of neurosurgery, Alzheimer s & Dementia and Archives of Clinical Neuropsychology.

In The Last Decade

Frank M. Webbe

38 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank M. Webbe United States 17 1.0k 556 508 372 223 40 1.7k
Douglas P. Terry United States 23 1.2k 1.1× 625 1.1× 508 1.0× 351 0.9× 173 0.8× 126 2.3k
Michael Fraas United States 10 863 0.8× 293 0.5× 304 0.6× 552 1.5× 85 0.4× 18 1.8k
Robert Davis Moore United States 23 548 0.5× 316 0.6× 221 0.4× 274 0.7× 122 0.5× 66 2.0k
Michael Gaetz Canada 18 840 0.8× 492 0.9× 519 1.0× 66 0.2× 239 1.1× 30 1.4k
Kenneth Podell United States 21 1.7k 1.7× 1.0k 1.8× 1.1k 2.1× 663 1.8× 153 0.7× 44 3.0k
Yael Goverover United States 27 449 0.4× 181 0.3× 458 0.9× 557 1.5× 67 0.3× 83 2.2k
Karen McCulloch United States 18 675 0.7× 333 0.6× 569 1.1× 510 1.4× 41 0.2× 60 1.8k
Coen A. M. van Bennekom Netherlands 25 469 0.5× 237 0.4× 187 0.4× 428 1.2× 51 0.2× 107 2.2k
Jennifer Batchelor Australia 27 1.4k 1.3× 825 1.5× 816 1.6× 662 1.8× 28 0.1× 81 2.7k
J BARTH United States 8 1.0k 1.0× 420 0.8× 424 0.8× 322 0.9× 24 0.1× 12 1.3k

Countries citing papers authored by Frank M. Webbe

Since Specialization
Citations

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

Fields of papers citing papers by Frank M. Webbe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank M. Webbe. 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 Frank M. Webbe. The network helps show where Frank M. Webbe may publish in the future.

Co-authorship network of co-authors of Frank M. Webbe

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

All Works

20 of 20 papers shown
1.
Webbe, Frank M., et al.. (2023). Does Frequency of Baseline Testing Influence Concussion Diagnostic Decision Making Among College Athletes. Archives of Clinical Neuropsychology. 38(8). 1635–1645. 2 indexed citations
2.
Webbe, Frank M., et al.. (2020). A-10 Grit Predicts Depression, Anxiety, and Subjective Cognitive Complaints Despite Normal Cognitive Performance in College Athletes. Archives of Clinical Neuropsychology. 35(5). 606–606. 6 indexed citations
3.
Edwards, Sean P., et al.. (2020). AD8 patient–informant discrepancy predicts insight and cognitive impairment in Alzheimer's disease. Geriatric Nursing. 42(1). 262–267. 11 indexed citations
4.
Webbe, Frank M., et al.. (2016). The role of executive functioning in quality of life in pediatric intractable epilepsy. Epilepsy & Behavior. 64(Pt A). 37–43. 42 indexed citations
5.
Salinas, Christine M., et al.. (2016). Attention-Deficit Hyperactivity Disorder Status and Baseline Neurocognitive Performance in High School Athletes. Applied Neuropsychology Child. 5(4). 264–272. 17 indexed citations
6.
Webbe, Frank M., et al.. (2014). History of neuropsychological study of sport-related concussion. Brain Injury. 29(2). 129–138. 9 indexed citations
7.
Webbe, Frank M.. (2011). The handbook of sport neuropsychology. Springer eBooks. 16 indexed citations
8.
Cholewiak, Roger W., et al.. (2011). Vibrotactile pattern perception as a method for the assessment of brain dysfunction. PubMed. 2011. 2041–2044. 1 indexed citations
9.
Mahoney, D. F., Ruth Purtilo, Frank M. Webbe, et al.. (2007). In‐home monitoring of persons with dementia: Ethical guidelines for technology research and development. Alzheimer s & Dementia. 3(3). 217–226. 69 indexed citations
10.
Webbe, Frank M., et al.. (2007). Personality Traits Relate to Heading Frequency in Male Soccer Players. Journal of Clinical Sport Psychology. 1(4). 379–389. 10 indexed citations
11.
Moser, Rosemarie Scolaro, Grant L. Iverson, Ruben J. Echemendía, et al.. (2007). Neuropsychological evaluation in the diagnosis and management of sports-related concussion☆. Archives of Clinical Neuropsychology. 22(8). 909–916. 129 indexed citations
12.
Becker, Shirley Ann & Frank M. Webbe. (2006). Designing for Older Adult Users of Handheld Technology. PubMed. 2006. 3297–3300. 10 indexed citations
13.
Becker, Shirley Ann & Frank M. Webbe. (2006). Use of Handheld Technology by Older Adult Caregivers as Part of a Virtual Support Network. 1 indexed citations
14.
Lichtenberg, Peter A., Amanda Johnson, David M. Erlanger, et al.. (2006). Enhancing Cognitive Screening in Geriatric Care. International Journal of Healthcare Information Systems and Informatics. 1(3). 47–57. 7 indexed citations
15.
Broshek, Donna K., Tanya Kaushik, Jason R. Freeman, et al.. (2005). Sex differences in outcome following sports-related concussion. Journal of neurosurgery. 102(5). 856–863. 390 indexed citations
16.
Webbe, Frank M. & Jeffrey T. Barth. (2003). Short-term and long-term outcome of athletic closed head injuries. Clinics in Sports Medicine. 22(3). 577–592. 55 indexed citations
17.
Erlanger, David M., Tanya Kaushik, Robert C. Cantu, et al.. (2003). Symptom-based assessment of the severity of a concussion. Journal of neurosurgery. 98(3). 477–484. 182 indexed citations
18.
Webbe, Frank M., et al.. (2003). Recency and Frequency of Soccer Heading Interact to Decrease Neurocognitive Performance. Applied Neuropsychology. 10(1). 31–41. 68 indexed citations
19.
Witol, Adrienne D. & Frank M. Webbe. (2003). Soccer heading frequency predicts neuropsychological deficits. Archives of Clinical Neuropsychology. 18(4). 397–417. 84 indexed citations
20.
Webbe, Frank M. & E. F. Malagodi. (1978). SECOND‐ORDER SCHEDULES OF TOKEN REINFORCEMENT: COMPARISONS OF PERFORMANCE UNDER FIXED‐RATIO AND VARIABLE‐RATIO EXCHANGE SCHEDULES1. Journal of the Experimental Analysis of Behavior. 30(2). 219–224. 24 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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