Matthew Lineberry

1.2k total citations
44 papers, 758 citations indexed

About

Matthew Lineberry is a scholar working on Public Health, Environmental and Occupational Health, Physiology and Family Practice. According to data from OpenAlex, Matthew Lineberry has authored 44 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Public Health, Environmental and Occupational Health, 15 papers in Physiology and 14 papers in Family Practice. Recurrent topics in Matthew Lineberry's work include Innovations in Medical Education (22 papers), Simulation-Based Education in Healthcare (15 papers) and Clinical Reasoning and Diagnostic Skills (14 papers). Matthew Lineberry is often cited by papers focused on Innovations in Medical Education (22 papers), Simulation-Based Education in Healthcare (15 papers) and Clinical Reasoning and Diagnostic Skills (14 papers). Matthew Lineberry collaborates with scholars based in United States, Canada and Australia. Matthew Lineberry's co-authors include David A. Cook, Rachel Yudkowsky, Yoon Soo Park, Georges Bordage, E. Matthew Ritter, Clarence D. Kreiter, Aaron Knox, Alan Schwartz, Abbas Hyderi and Teresa M. Chan and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Radiation Oncology*Biology*Physics and The Annals of Thoracic Surgery.

In The Last Decade

Matthew Lineberry

42 papers receiving 736 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Lineberry United States 16 455 269 193 161 124 44 758
Nadine T. Katz United States 15 509 1.1× 159 0.6× 162 0.8× 108 0.7× 140 1.1× 40 873
Jodi Herold McIlroy Canada 11 660 1.5× 352 1.3× 214 1.1× 160 1.0× 222 1.8× 15 952
Nicole K. Roberts United States 16 585 1.3× 149 0.6× 166 0.9× 105 0.7× 251 2.0× 30 832
Lisa D. Howley United States 15 432 0.9× 188 0.7× 169 0.9× 70 0.4× 145 1.2× 33 816
Cathy J. Schwind United States 17 601 1.3× 198 0.7× 218 1.1× 154 1.0× 270 2.2× 27 976
Gerard F. Dillon United States 18 532 1.2× 217 0.8× 151 0.8× 119 0.7× 68 0.5× 35 744
L. James Nixon United States 11 391 0.9× 227 0.8× 85 0.4× 100 0.6× 54 0.4× 21 553
Kimberly D. Lomis United States 18 613 1.3× 210 0.8× 64 0.3× 142 0.9× 58 0.5× 37 852
Debra Pugh Canada 19 551 1.2× 355 1.3× 118 0.6× 181 1.1× 42 0.3× 48 769
Damon Dagnone Canada 12 612 1.3× 321 1.2× 109 0.6× 148 0.9× 34 0.3× 34 766

Countries citing papers authored by Matthew Lineberry

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Lineberry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Lineberry. 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 Matthew Lineberry. The network helps show where Matthew Lineberry may publish in the future.

Co-authorship network of co-authors of Matthew Lineberry

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Lineberry. A scholar is included among the top collaborators of Matthew Lineberry 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 Matthew Lineberry. Matthew Lineberry 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
2.
Tarver, Stephen, et al.. (2023). Integrating simulation and interpretive description to explore operating room leadership: critical event continuing education. Advances in Health Sciences Education. 28(4). 1211–1244. 2 indexed citations
3.
Gisondi, Michael A., Sarah Michael, Simiao Li‐Sauerwine, et al.. (2022). The Purpose, Design, and Promise of Medical Education Research Labs. Academic Medicine. 97(9). 1281–1288. 5 indexed citations
4.
Way, Jason D., et al.. (2021). Predicting Perceptions of Team Process Using Optimal Distinctiveness Theory. Small Group Research. 53(3). 464–489. 7 indexed citations
6.
Bogetz, Alyssa L., Priti Bhansali, Michele Long, et al.. (2019). The Patient Experience Debrief Interview: How Conversations With Hospitalized Families Influence Medical Student Learning and Reflection. Academic Medicine. 94(11S). S86–S94. 7 indexed citations
7.
Cook, David A., et al.. (2018). Influencing Mindsets and Motivation in Procedural Skills Learning: Two Randomized Studies. Journal of surgical education. 76(3). 652–663. 11 indexed citations
8.
Lineberry, Matthew, Parvati Dev, H. Chad Lane, & Thomas B. Talbot. (2018). Learner-Adaptive Educational Technology for Simulation in Healthcare. Simulation in Healthcare The Journal of the Society for Simulation in Healthcare. 13(3S). S21–S27. 4 indexed citations
9.
Hatala, Rose, et al.. (2018). How well is each learner learning? Validity investigation of a learning curve-based assessment approach for ECG interpretation. Advances in Health Sciences Education. 24(1). 45–63. 27 indexed citations
10.
Chan, Teresa M., et al.. (2017). Failure to flow: An exploration of learning and teaching in busy, multi-patient environments using an interpretive description method. Perspectives on Medical Education. 6(6). 380–387. 23 indexed citations
11.
Vaporciyan, Ara A., et al.. (2017). Consensus-Derived Coronary Anastomotic Checklist Reveals Significant Variability Among Experts. The Annals of Thoracic Surgery. 104(6). 2087–2092. 3 indexed citations
12.
Lineberry, Matthew & E. Matthew Ritter. (2017). Psychometric properties of the Fundamentals of Endoscopic Surgery (FES) skills examination. Surgical Endoscopy. 31(12). 5219–5227. 17 indexed citations
13.
Chan, Teresa M., Mathew Mercuri, Jonathan Sherbino, et al.. (2017). Managing Multiplicity: Conceptualizing Physician Cognition in Multipatient Environments. Academic Medicine. 93(5). 786–793. 18 indexed citations
14.
Bordage, Georges, Matthew Lineberry, & Rachel Yudkowsky. (2016). Conceptual Frameworks to Guide Research and Development (R&D) in Health Professions Education. Academic Medicine. 91(12). e2–e2. 14 indexed citations
16.
Lineberry, Matthew, et al.. (2015). Educational interventions for international medical graduates: a review and agenda. Medical Education. 49(9). 863–879. 29 indexed citations
17.
Yudkowsky, Rachel, Yoon Soo Park, Matthew Lineberry, Aaron Knox, & E. Matthew Ritter. (2015). Setting Mastery Learning Standards. Academic Medicine. 90(11). 1495–1500. 96 indexed citations
18.
Lineberry, Matthew, Yoon Soo Park, David A. Cook, & Rachel Yudkowsky. (2015). Making the Case for Mastery Learning Assessments. Academic Medicine. 90(11). 1445–1450. 32 indexed citations
19.
Lineberry, Matthew, et al.. (2013). Measurement and Training of TeamSTEPPS® Dimensions Using the Medical Team Performance Assessment Tool. The Joint Commission Journal on Quality and Patient Safety. 39(2). 89–AP3. 13 indexed citations
20.
Lineberry, Matthew, et al.. (2013). Comparative Research on Training Simulators in Emergency Medicine. Simulation in Healthcare The Journal of the Society for Simulation in Healthcare. 8(4). 253–261. 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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