Moisés Rodríguez

31 papers receiving 257 citations

Peers

Moisés Rodríguez
Comparison fields: 5 of 72
  • Software 25
  • Management Information Systems 57
  • Information Systems 94
  • Health Informatics 5
  • Management Science and Operations Research 45
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George Kakarontzas Greece
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Saima Rafi Finland
Naoshi Uchihira Japan
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Breno Bernard Nicolau de França Brazil
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Citations per year

Countries citing papers authored by Moisés Rodríguez

Since Specialization
Citations

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

Fields of papers citing papers by Moisés Rodríguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Talavera Manifesto for Quantum Software Engineering and Programming
202025
2 201924
3
Evaluation of Software Product Functional Suitability: A Case Study
201622
4 201920
5 201819
6 201818
7 201818
8 201913
9
Software Product Quality Evaluation Using ISO/IEC 25000.
201412
10 202410
11 20229
12 20238
13 20208
14 20108
15 20247
16 20207
17 20186
18 20155
19 20204
20 20214

About Moisés Rodríguez

Moisés Rodríguez is a scholar working on Information Systems, Artificial Intelligence, Electrical and Electronic Engineering, Software and Management Information Systems, having authored 38 papers that have together received 269 indexed citations. Recurring topics across this work include Software Engineering Research (10 papers), Software Engineering Techniques and Practices (9 papers), Green IT and Sustainability (8 papers), Software Reliability and Analysis Research (6 papers), Big Data and Business Intelligence (6 papers), Data Quality and Management (6 papers), Sustainable Supply Chain Management (5 papers) and Quantum Computing Algorithms and Architecture (4 papers). The work is most often cited by research in Software (25 citations), Management Information Systems (57 citations), Information Systems (94 citations), Health Informatics (5 citations) and Management Science and Operations Research (45 citations). Moisés Rodríguez has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Mario Piattini, María Teresa Baldassarre, Ismael Caballero, Ricardo Pérez‐Castillo, Christof Ebert, Sunho Kim, Jordi Tura, Marcela Genero, Dongwoo Lee and Juan M. Murillo. Their work appears in journals such as IEEE Software, Computer Standards & Interfaces, Software Quality Journal, Information and Software Technology and Neurocomputing.

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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