Jorge Muñoz-Gama

4.5k citations
61 papers · 1.4k indexed · 2 hit papers · h-index 17

Jorge Muñoz-Gama

57 papers receiving 1.3k citations

Hit Papers

Mining theory-based patterns from Big data: Identifying s...2122016202620192022100200300

Peers

Jorge Muñoz-Gama
Comparison fields: 5 of 127
  • Management Information Systems 810
  • Computer Science Applications 214
  • Information Systems 430
  • Management Science and Operations Research 232
  • Industrial and Manufacturing Engineering 157
Replace Hung‐Chang Liao with:
Hung‐Chang Liao Taiwan
Marcos Sepúlveda Chile
Jasna Kuljis United Kingdom
Carlos Fernández-Llatas Spain
Manuel Filipe Santos Portugal
Minseok Song South Korea
Daniel Capurro Australia
Minna Pikkarainen Finland
Niels Martin Belgium
Francisco Ruíz Spain
Jorge Muñoz-Gama relative to Hung‐Chang Liao Taiwan Hung‐Chang Liao's profile →
Citations per field
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Hung‐Chang Liao · 1×
Citations per year

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

The 25 scholars most cited alongside Jorge Muñoz-Gama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jorge Muñoz-Gama Line = papers co-authored together Jorge Muñoz-Gama links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 202416
3 20233
4 20232
5 20234
6 20230
7 20221
8 202029
9 20201
10 202036
11 202012
12 201916
13 201837
14
Mining theory-based patterns from Big data: Identifying self-regulated learning strategies in Massive Open Online Coursesbreakdown →
2017212
15
PALIA-ER: Bringing Question-Driven Process Mining Closer to the Emergency Room.
20175
16 201759
17 201717
18
ResRec: A Multi-criteria Tool for Resource Recommendation.
20162
19
Process mining in healthcare: A literature reviewbreakdown →
2016348
20 201451

About Jorge Muñoz-Gama

Jorge Muñoz-Gama is a scholar working on Management Information Systems, Computer Science Applications and Information Systems, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (40 papers), Service-Oriented Architecture and Web Services (20 papers), Semantic Web and Ontologies (8 papers), Online Learning and Analytics (6 papers), Clinical practice guidelines implementation (6 papers), Surgical Simulation and Training (5 papers), Data Quality and Management (5 papers) and Flexible and Reconfigurable Manufacturing Systems (4 papers). The work is most often cited by research in Management Information Systems (810 citations), Computer Science Applications (214 citations) and Information Systems (430 citations). Jorge Muñoz-Gama has collaborated with scholars based in Chile, Spain and Netherlands. Frequent 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. Their work appears in journals such as Computers in Human Behavior, Expert Systems with Applications and Information Sciences.

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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