Michael Arias

13 papers receiving 178 citations

Peers

Michael Arias
Comparison fields: 5 of 58
  • Management Information Systems 130
  • Medical Terminology 1
  • Management Science and Operations Research 43
  • Industrial and Manufacturing Engineering 32
  • Information Systems 49
Replace Rob J. B. Vanwersch with:
Rob J. B. Vanwersch Netherlands
Marcelo Rosano Dallagassa Brazil
Francesca Zerbato Switzerland
Elisabetta Benevento Italy
Elyes Lamine France
Manuel Camargo Colombia
Tom McBride Australia
Sonia Ayachi Ghannouchi Tunisia
Luise Pufahl Germany
Agata Filipowska Poland
Michael Arias relative to Rob J. B. Vanwersch Netherlands Rob J. B. Vanwersch's profile →
Citations per field
00.5×2.8×
Rob J. B. Vanwersch · 1×
Citations per year

Countries citing papers authored by Michael Arias

Since Specialization
Citations

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

Fields of papers citing papers by Michael Arias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Michael Arias, 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 Michael Arias Line = papers co-authored together Michael Arias links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201759
2 201837
3 202029
4 201916
5 201814
6 201514
7 20164
8 20243
9 20183
10
ResRec: A Multi-criteria Tool for Resource Recommendation.
20162
11
Análisis de Género en Carreras STEM: Caso Universidad de Costa Rica
20201
12 20181
13
Volvo Incident and Problem Management Behavior Analysis.
20131
14 20230
15 20160

About Michael Arias

Michael Arias is a scholar working on Management Information Systems, Information Systems, Industrial and Manufacturing Engineering, Strategy and Management and Artificial Intelligence, having authored 15 papers that have together received 184 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (10 papers), Service-Oriented Architecture and Web Services (5 papers), Software Engineering Techniques and Practices (2 papers), Scheduling and Optimization Algorithms (2 papers), Clinical practice guidelines implementation (1 paper), Semantic Web and Ontologies (1 paper), Customer Service Quality and Loyalty (1 paper) and Business Strategy and Innovation (1 paper). The work is most often cited by research in Management Information Systems (130 citations), Medical Terminology (1 citation), Management Science and Operations Research (43 citations), Industrial and Manufacturing Engineering (32 citations) and Information Systems (49 citations). Michael Arias has collaborated with scholars based in Chile, Costa Rica and United States. Frequent co-authors include Marcos Sepúlveda, Jorge Muñoz-Gama, Eric Rojas, Daniel Capurro, Valeria Herskovic, Maíra Marques Samary, Santiago Aguirre, René de la Fuente, Ricardo Fuentes and Luis A. Leiva. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Biomedical Informatics, IEEE Access, Management Decision and European J of Industrial Engineering.

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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