Mar Marcos

44 papers receiving 834 citations

Mar Marcos's Hit Papers

Process mining for healthcare: Characteristics and challenges 2022 · 179 citations
1790+1+2Years since publication50100150

Peers

Mar Marcos
Comparison fields: 5 of 98
  • Health Information Management 216
  • Management Information Systems 226
  • Health Informatics 26
  • Artificial Intelligence 271
  • Management Science and Operations Research 95
Replace Paolo Ciccarese with:
Paolo Ciccarese United States
Alessio Bottrighi Italy
Adel Taweel United Kingdom
David Riaño Spain
Omolola Ijeoma Ogunyemi United States
Gökçe Banu Laleci Ertürkmen Türkiye
Liora Alschuler United States
Calvin E Beebe United States
Robert H. Dolin United States
Lawrence M. Fagan United States
Mar Marcos relative to Paolo Ciccarese United States Paolo Ciccarese's profile →
Citations per field
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Paolo Ciccarese · 1×
Citations per year

Countries citing papers authored by Mar Marcos

Since Specialization
Citations

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

Fields of papers citing papers by Mar Marcos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Process mining for healthcare: Characteristics and challenges
Hit paper breakdown →
2022179
2 201396
3 200692
4 202065
5 201355
6 200645
7 200241
8
Bridging the Gap between Informal and Formal Guideline Representations
200635
9 200221
10 200418
11 201918
12 201117
13 201116
14 201516
15 200716
16 200114
17 201613
18 200312
19 202012
20 200512

About Mar Marcos

Mar Marcos is a scholar working on Health Information Management, Management Information Systems, Public Health, Environmental and Occupational Health, Artificial Intelligence and Molecular Biology, having authored 54 papers that have together received 883 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (19 papers), Clinical practice guidelines implementation (19 papers), Biomedical Text Mining and Ontologies (17 papers), Business Process Modeling and Analysis (16 papers), Electronic Health Records Systems (14 papers), AI-based Problem Solving and Planning (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Health Information Management (216 citations), Management Information Systems (226 citations), Health Informatics (26 citations), Artificial Intelligence (271 citations) and Management Science and Operations Research (95 citations). Mar Marcos has collaborated with scholars based in Spain, Netherlands and Austria. Frequent co-authors include Begoña Martínez‐Salvador, Silvia Miksch, José Alberto Maldonado, Andreas Seyfang, Annette ten Teije, Montserrat Robles, Frank van Harmelen, Diego Boscá, Kitty Rosenbrand and Peter Lucas. Their work appears in journals such as Artificial Intelligence in Medicine, Journal of Biomedical Informatics, Applied Sciences, Lecture notes in computer science and Journal of Imaging Informatics in Medicine.

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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