Moisés Rodríguez

601 citations
50 papers · 372 · h-index 12

Impact in

Papers in

Moisés Rodríguez

41 papers receiving 356 citations

Peers

Moisés Rodríguez
Comparison fields: 5 of 71
  • Management Information Systems 74
  • Software 33
  • Information Systems 137
  • Management Science and Operations Research 65
  • Health Informatics 7
Replace Saima Rafi with:
Saima Rafi Finland
George Kakarontzas Greece
Fadhl Hujainah Malaysia
Bernhard G. Humm Germany
Samira Si-Saïd Cherfi France
Shouki A. Ebad Saudi Arabia
Marwa Salah Farhan Egypt
Breno Bernard Nicolau de França Brazil
Jens Heidrich Germany
Daniel Kiefer Germany
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Citations per field
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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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Talavera Manifesto for Quantum Software Engineering and Programming
202038
2 201930
3 201825
4
Evaluation of Software Product Functional Suitability: A Case Study
201624
5 201924
6 201824
7 201819
8 202417
9 201915
10 202314
11
Software Product Quality Evaluation Using ISO/IEC 25000.
201414
12 202212
13 202010
14 20109
15 20239
16 20208
17 20248
18 20187
19 20216
20 20146

About Moisés Rodríguez

Moisés Rodríguez is a scholar working on Information Systems, Management Information Systems, Software, Management Science and Operations Research and Artificial Intelligence, having authored 50 papers that have together received 372 indexed citations. Recurring topics across this work include Software Engineering Research (11 papers), Big Data and Business Intelligence (11 papers), Green IT and Sustainability (10 papers), Data Quality and Management (10 papers), Software Engineering Techniques and Practices (10 papers), Cloud Computing and Resource Management (7 papers), Software Reliability and Analysis Research (7 papers) and Sustainable Supply Chain Management (6 papers). The work is most often cited by research in Management Information Systems (74 citations), Software (33 citations), Information Systems (137 citations), Management Science and Operations Research (65 citations) and Health Informatics (7 citations). Moisés Rodríguez has collaborated with scholars based in Spain, Italy and Colombia. Frequent co-authors include Mario G. Piattini, María Teresa Baldassarre, Ismael Caballero, Ricardo Pérez‐Castillo, Christof Ebert, Sunho Kim, Alejandro Maté, Juan M. Murillo, Dongwoo Lee and R. Gallego. Their work appears in journals such as Computer Standards & Interfaces, IEEE Software, Information and Software Technology, Software Quality Journal and ZooKeys.

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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