Müge Capan

1.3k total citations
35 papers, 478 citations indexed

About

Müge Capan is a scholar working on Epidemiology, Surgery and Health Information Management. According to data from OpenAlex, Müge Capan has authored 35 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 14 papers in Surgery and 10 papers in Health Information Management. Recurrent topics in Müge Capan's work include Sepsis Diagnosis and Treatment (18 papers), Healthcare Technology and Patient Monitoring (12 papers) and Electronic Health Records Systems (10 papers). Müge Capan is often cited by papers focused on Sepsis Diagnosis and Treatment (18 papers), Healthcare Technology and Patient Monitoring (12 papers) and Electronic Health Records Systems (10 papers). Müge Capan collaborates with scholars based in United States, Türkiye and Germany. Müge Capan's co-authors include Ryan Arnold, Julie S. Ivy, Jeanne M. Huddleston, Min Chi, Kristen Miller, William S. Weintraub, Sanford Schwartz, Yuan Zhang, Lin Chen and Raj M. Ratwani and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of the American Medical Informatics Association.

In The Last Decade

Müge Capan

31 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Müge Capan United States 13 145 145 107 94 57 35 478
Thomas A. Oniki United States 12 67 0.5× 131 0.9× 164 1.5× 88 0.9× 59 1.0× 20 528
Jason M. Baron United States 16 74 0.5× 197 1.4× 156 1.5× 66 0.7× 34 0.6× 56 874
Grégoire Ficheur France 15 68 0.5× 96 0.7× 80 0.7× 135 1.4× 34 0.6× 59 559
Michael Rothman United States 9 197 1.4× 99 0.7× 53 0.5× 120 1.3× 145 2.5× 13 480
Dustin McEvoy United States 13 82 0.6× 119 0.8× 260 2.4× 126 1.3× 71 1.2× 38 642
David Meltzer United States 6 158 1.1× 83 0.6× 51 0.5× 106 1.1× 82 1.4× 7 503
Sayon Dutta United States 10 142 1.0× 111 0.8× 39 0.4× 52 0.6× 101 1.8× 42 552
Shiying Hao United States 15 194 1.3× 167 1.2× 119 1.1× 103 1.1× 102 1.8× 43 774
Alejandro Schuler United States 14 196 1.4× 157 1.1× 62 0.6× 71 0.8× 84 1.5× 31 736
Nishi Rawat United States 9 131 0.9× 75 0.5× 43 0.4× 51 0.5× 42 0.7× 15 522

Countries citing papers authored by Müge Capan

Since Specialization
Citations

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

Fields of papers citing papers by Müge Capan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Müge Capan

This figure shows the co-authorship network connecting the top 25 collaborators of Müge Capan. A scholar is included among the top collaborators of Müge Capan 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 Müge Capan. Müge Capan 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.
Capan, Müge, et al.. (2024). Analysis of multi-level barriers to physical activity among nursing students using regularized regression. PLoS ONE. 19(5). e0304214–e0304214.
2.
Jazayeri, Ali, Christopher C. Yang, & Müge Capan. (2023). Frequent temporal patterns of physiological and biological biomarkers and their evolution in sepsis. Artificial Intelligence in Medicine. 143. 102576–102576. 2 indexed citations
3.
Capan, Müge, Ken Catchpole, Nawar Shara, et al.. (2022). Display and perception of risk: Analysis of decision support system display and its impact on perceived clinical risk of sepsis-induced health deterioration. Health Informatics Journal. 28(1). 1187558451–1187558451.
4.
Jazayeri, Ali, Müge Capan, Julie S. Ivy, Ryan Arnold, & Christopher C. Yang. (2021). Proximity of Cellular and Physiological Response Failures in Sepsis. IEEE Journal of Biomedical and Health Informatics. 25(11). 4089–4097. 1 indexed citations
5.
Capan, Müge, et al.. (2021). The Available Criteria for Different Sepsis Scoring Systems in the Emergency Department—A Retrospective Assessment. Open Access Emergency Medicine. Volume 13. 91–96. 3 indexed citations
6.
Nambiar, Siddhartha, et al.. (2019). Objective measures of workload in healthcare: a narrative review. International Journal of Health Care Quality Assurance. 33(1). 1–17. 27 indexed citations
7.
Özaltın, Osman Y., et al.. (2019). The value of missing information in severity of illness score development. Journal of Biomedical Informatics. 97. 103255–103255. 12 indexed citations
8.
Capan, Müge, Ryan Arnold, F. Jacob Seagull, et al.. (2019). Informatics and interaction: Applying human factors principles to optimize the design of clinical decision support for sepsis. Health Informatics Journal. 26(1). 642–651. 6 indexed citations
9.
Capan, Müge, et al.. (2018). Not all organ dysfunctions are created equal – Prevalence and mortality in sepsis. Journal of Critical Care. 48. 257–262. 9 indexed citations
10.
Capan, Müge, et al.. (2018). Data-driven approach to Early Warning Score-based alert management. BMJ Open Quality. 7(3). e000088–e000088. 11 indexed citations
11.
Capan, Müge, et al.. (2018). The design of decisions: Matching clinical decision support recommendations to Nielsen’s design heuristics. International Journal of Medical Informatics. 117. 19–25. 30 indexed citations
12.
Miller, Kristen, et al.. (2017). Assessment of Nursing Response to a Real-Time Alerting Tool for Sepsis: A Provider Survey. PubMed. 1(3). 6 indexed citations
13.
Capan, Müge, et al.. (2017). We all make choices: A decision analysis framework for disposition decision in the ED. The American Journal of Emergency Medicine. 36(3). 450–454. 9 indexed citations
14.
Capan, Müge, et al.. (2017). Interface, information, interaction: a narrative review of design and functional requirements for clinical decision support. Journal of the American Medical Informatics Association. 25(5). 585–592. 79 indexed citations
15.
Capan, Müge, et al.. (2017). Optimizing usability and signal capture: a proactive risk assessment for the implementation of a wireless vital sign monitoring system. Journal of Medical Engineering & Technology. 41(8). 623–629. 5 indexed citations
16.
Miller, Kristen, Ryan Arnold, Müge Capan, et al.. (2016). Improving Infusion Pump Safety Through Usability Testing. Journal of Nursing Care Quality. 32(2). 141–149. 8 indexed citations
17.
Capan, Müge, et al.. (2015). Individualizing and optimizing the use of early warning scores in acute medical care for deteriorating hospitalized patients. Resuscitation. 93. 107–112. 15 indexed citations
18.
Capan, Müge, et al.. (2009). Quality assurance in non-interventional studies. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Capan, Müge, et al.. (2009). Quality assurance in non-interventional studies. PubMed. 7. Doc29–Doc29. 27 indexed citations
20.
Akçay, Müfide Nuran, et al.. (1996). Bacterial Translocation in Experimental Intestinal Obstruction. Journal of International Medical Research. 24(1). 17–26. 28 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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