Eric Rojas

34 papers receiving 1.3k citations

Eric Rojas's Hit Papers

Process mining for healthcare: Characteristics and challenges 2022 · 179 citations
1790+3+6Years since publication100200300400

Peers

Eric Rojas
Comparison fields: 5 of 105
  • Management Information Systems 834
  • Management Science and Operations Research 311
  • Health Information Management 68
  • Industrial and Manufacturing Engineering 127
  • Health Informatics 16
Replace Niels D. Martin with:
Niels D. Martin Belgium
Owen Ashby Johnson United Kingdom
Xixi Lu Netherlands
Rob J. B. Vanwersch Netherlands
Francesca Zerbato Switzerland
Luise Pufahl Germany
Giuseppe Pozzi Italy
Déborah Ribeiro Carvalho Brazil
Michael Arias Chile
Liam Peyton Canada
Eric Rojas relative to Niels D. Martin Belgium Niels D. Martin's profile →
Citations per field
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Niels D. Martin · 1×
Citations per year

Countries citing papers authored by Eric Rojas

Since Specialization
Citations

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

Fields of papers citing papers by Eric Rojas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eric Rojas, 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 Eric Rojas Line = papers co-authored together Eric Rojas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Process mining in healthcare: A literature review
Hit paper breakdown →
2016462
2
Process mining for healthcare: Characteristics and challenges
Hit paper breakdown →
2022179
3 201770
4 201760
5 201750
6 201948
7 201845
8 201639
9 202235
10 202034
11 201931
12 201929
13 201726
14 201925
15 201816
16 201916
17 201514
18 202114
19 202214
20 202113

About Eric Rojas

Eric Rojas is a scholar working on Management Information Systems, Management Science and Operations Research, Information Systems, Artificial Intelligence and Health Information Management, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (26 papers), Semantic Web and Ontologies (11 papers), Service-Oriented Architecture and Web Services (10 papers), Data Quality and Management (10 papers), Clinical practice guidelines implementation (4 papers), Biomedical Text Mining and Ontologies (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Muscle activation and electromyography studies (2 papers). The work is most often cited by research in Management Information Systems (834 citations), Management Science and Operations Research (311 citations), Health Information Management (68 citations), Industrial and Manufacturing Engineering (127 citations) and Health Informatics (16 citations). Eric Rojas has collaborated with scholars based in Chile, Spain and United Kingdom. Frequent co-authors include Marcos Sepúlveda, Jorge Muñoz-Gama, Daniel Capurro, Michael Arias, Carlos Fernández-Llatas, Vicente Traver, Angelina Prima Kurniati, Owen Ashby Johnson, Valeria Herskovic and Geoff D. Hall. Their work appears in journals such as Journal of Biomedical Informatics, International Journal of Environmental Research and Public Health, Applied Sciences, Electronics and Scientific Reports.

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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