Jorge Muñoz-Gama

4.5k total citations · 2 hit papers
61 papers, 1.4k citations indexed

About

Jorge Muñoz-Gama is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence. According to data from OpenAlex, Jorge Muñoz-Gama has authored 61 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Management Information Systems, 27 papers in Information Systems and 10 papers in Artificial Intelligence. Recurrent topics in Jorge Muñoz-Gama's work include Business Process Modeling and Analysis (40 papers), Service-Oriented Architecture and Web Services (20 papers) and Semantic Web and Ontologies (8 papers). Jorge Muñoz-Gama is often cited by papers focused on Business Process Modeling and Analysis (40 papers), Service-Oriented Architecture and Web Services (20 papers) and Semantic Web and Ontologies (8 papers). Jorge Muñoz-Gama collaborates with scholars based in Chile, Spain and Netherlands. Jorge Muñoz-Gama's co-authors include Marcos Sepúlveda, Eric Rojas, Daniel Capurro, Josep Carmona, Jorge Maldonado‐Mahauad, Mar Pérez‐Sanagustín, Wil M. P. van der Aalst, René F. Kizilcec, Michael Arias and Carlos Fernández-Llatas and has published in prestigious journals such as Computers in Human Behavior, Expert Systems with Applications and Information Sciences.

In The Last Decade

Jorge Muñoz-Gama

57 papers receiving 1.3k citations

Hit Papers

Process mining in healthcare: A literature review 2016 2026 2019 2022 2016 2017 100 200 300

Peers

Jorge Muñoz-Gama
Jorge Muñoz-Gama
Citations per year, relative to Jorge Muñoz-Gama Jorge Muñoz-Gama (= 1×) peers Hung‐Chang Liao

Countries citing papers authored by Jorge Muñoz-Gama

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Muñoz-Gama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Muñoz-Gama. 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 Jorge Muñoz-Gama. The network helps show where Jorge Muñoz-Gama may publish in the future.

Co-authorship network of co-authors of Jorge Muñoz-Gama

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Muñoz-Gama. A scholar is included among the top collaborators of Jorge Muñoz-Gama 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 Jorge Muñoz-Gama. Jorge Muñoz-Gama 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.
Fuente, René de la, et al.. (2026). Tracheostomy decannulation process model: an interprofessional, Latin-American Delphi consensus. Medicina Intensiva (English Edition). 502437–502437.
2.
Marco-Ruiz, Luis, Phuong Dinh Ngo, Taridzo Chomutare, et al.. (2024). A multinational study on artificial intelligence adoption: Clinical implementers' perspectives. International Journal of Medical Informatics. 184. 105377–105377. 16 indexed citations
3.
Galvez-Yanjari, Víctor, René de la Fuente, Jorge Muñoz-Gama, & Marcos Sepúlveda. (2023). The Sequence of Steps: A Key Concept Missing in Surgical Training—A Systematic Review and Recommendations to Include It. International Journal of Environmental Research and Public Health. 20(2). 1436–1436. 3 indexed citations
4.
Muñoz-Gama, Jorge, et al.. (2023). A Domain-Driven Framework to Analyze Learning Dynamics in MOOCs through Event Abstraction. Applied Sciences. 13(5). 3039–3039. 2 indexed citations
5.
Muñoz-Gama, Jorge, et al.. (2023). Towards the Application of Process Mining in the Mining Industry—An LHD Maintenance Process Optimization Case Study. Sustainability. 15(10). 7974–7974. 4 indexed citations
6.
Arias, Michael, Eric Rojas, Santiago Aguirre, et al.. (2023). Defining Healthcare KPIs Using Process Mining and Patient Journey Maps. 1–10.
7.
Martínez, Juan José, Víctor Galvez-Yanjari, René de la Fuente, et al.. (2022). Process-oriented metrics to provide feedback and assess the performance of students who are learning surgical procedures: The percutaneous dilatational tracheostomy case. Medical Teacher. 44(11). 1244–1252. 1 indexed citations
8.
Arias, Michael, Eric Rojas, Santiago Aguirre, et al.. (2020). Mapping the Patient’s Journey in Healthcare through Process Mining. International Journal of Environmental Research and Public Health. 17(18). 6586–6586. 29 indexed citations
9.
Galvez-Yanjari, Víctor, René de la Fuente, Luis A. Leiva, et al.. (2020). Process-Oriented Instrument and Taxonomy for Teaching Surgical Procedures in Medical Training: The Ultrasound-Guided Insertion of Central Venous Catheter. International Journal of Environmental Research and Public Health. 17(11). 3849–3849. 1 indexed citations
10.
Martin, Niels, Jochen De Weerdt, Carlos Fernández-Llatas, et al.. (2020). Recommendations for enhancing the usability and understandability of process mining in healthcare. Artificial Intelligence in Medicine. 109. 101962–101962. 36 indexed citations
11.
Kattan, Eduardo, René de la Fuente, Magdalena Vera, et al.. (2020). Simulation-Based Mastery Learning of Bronchoscopy-Guided Percutaneous Dilatational Tracheostomy. Simulation in Healthcare The Journal of the Society for Simulation in Healthcare. 16(3). 157–162. 12 indexed citations
12.
Leiva, Luis A., René de la Fuente, Ricardo Fuentes, et al.. (2019). Process-Oriented Feedback through Process Mining for Surgical Procedures in Medical Training: The Ultrasound-Guided Central Venous Catheter Placement Case. International Journal of Environmental Research and Public Health. 16(11). 1877–1877. 16 indexed citations
13.
Arias, Michael, et al.. (2018). Human resource allocation in business process management and process mining. Management Decision. 56(2). 376–405. 37 indexed citations
14.
Maldonado‐Mahauad, Jorge, et al.. (2017). Mining theory-based patterns from Big data: Identifying self-regulated learning strategies in Massive Open Online Courses. Computers in Human Behavior. 80. 179–196. 212 indexed citations breakdown →
15.
Rojas, Eric, Carlos Fernández-Llatas, Vicente Traver, et al.. (2017). PALIA-ER: Bringing Question-Driven Process Mining Closer to the Emergency Room.. 5 indexed citations
16.
Rojas, Eric, Michael Arias, Jorge Muñoz-Gama, et al.. (2017). Discovering role interaction models in the Emergency Room using Process Mining. Journal of Biomedical Informatics. 78. 60–77. 59 indexed citations
17.
Sepúlveda, Marcos, et al.. (2017). Strategies to Automatically Derive a Process Model from a Configurable Process Model Based on Event Data. Applied Sciences. 7(10). 1023–1023. 17 indexed citations
18.
Arias, Michael, et al.. (2016). ResRec: A Multi-criteria Tool for Resource Recommendation.. 17–22. 2 indexed citations
19.
Rojas, Eric, Jorge Muñoz-Gama, Marcos Sepúlveda, & Daniel Capurro. (2016). Process mining in healthcare: A literature review. Journal of Biomedical Informatics. 61. 224–236. 348 indexed citations breakdown →
20.
Muñoz-Gama, Jorge, Josep Carmona, & Wil M. P. van der Aalst. (2014). Single-Entry Single-Exit decomposed conformance checking. Information Systems. 46. 102–122. 51 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026