Abel Gómez
Impact in
- Software top 5%
- Model-Driven Software Engineering Techniques
- Information Systems top 5%
- Service-Oriented Architecture and Web Services
- Software Engineering Research
- Software Engineering Techniques and Practices
Papers in
- Software 36
- Model-Driven Software Engineering Techniques 32
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- Advanced Software Engineering Methodologies 26
- Co-authors
- Jordi Cabot (23 shared papers)Massimo Tisi (4 shared papers)Isidro Ramos (10 shared papers)Gerson Sunyé (3 shared papers)Hugo Brunelière (8 shared papers)Andrey Sadovykh (6 shared papers)Markel Iglesias-Urkia (4 shared papers)Aitor Urbieta (3 shared papers)
In The Last Decade
Abel Gómez
62 papers receiving 450 citations
Peers
Comparison fields: 5 of 74
- Software 175
- Information Systems 228
- Management Information Systems 87
- Computer Networks and Communications 164
- Artificial Intelligence 175
Countries citing papers authored by Abel Gómez
This map shows the geographic impact of Abel Gómez'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 Abel Gómez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abel Gómez more than expected).
Fields of papers citing papers by Abel Gómez
This network shows the impact of papers produced by Abel Gómez. 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 Abel Gómez. The network helps show where Abel Gómez may publish in the future.
Co-authors
The 25 scholars most cited alongside Abel Gómez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 44 | |
| 2 | 2022 | 29 | |
| 3 | 2017 | 24 | |
| 4 | 2018 | 21 | |
| 5 | 2013 | 19 | |
| 6 | 2010 | 15 | |
| 7 | 2016 | 15 | |
| 8 | 2023 | 14 | |
| 9 | 2015 | 14 | |
| 10 | 2017 | 13 | |
| 11 | 2022 | 11 | |
| 12 | 2009 | 11 | |
| 13 | 2018 | 11 | |
| 14 | 2020 | 11 | |
| 15 | 2020 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2018 | 10 | |
| 18 | [Brucella canis endocarditis: first documented case in Argentina]. | 2013 | 9 |
| 19 | 2006 | 9 | |
| 20 | 2019 | 9 |
About Abel Gómez
Abel Gómez is a scholar working on Software, Artificial Intelligence, Information Systems, Computer Networks and Communications and Management Information Systems, having authored 65 papers that have together received 469 indexed citations. Recurring topics across this work include Model-Driven Software Engineering Techniques (32 papers), Advanced Software Engineering Methodologies (26 papers), Service-Oriented Architecture and Web Services (21 papers), Software System Performance and Reliability (14 papers), Business Process Modeling and Analysis (6 papers), Scientific Computing and Data Management (6 papers), Software Engineering Research (6 papers) and IoT and Edge/Fog Computing (4 papers). The work is most often cited by research in Software (175 citations), Information Systems (228 citations), Management Information Systems (87 citations), Computer Networks and Communications (164 citations) and Artificial Intelligence (175 citations). Abel Gómez has collaborated with scholars based in Spain, France and Sweden. Frequent co-authors include Jordi Cabot, Massimo Tisi, Isidro Ramos, Gerson Sunyé, Hugo Brunelière, Andrey Sadovykh, Markel Iglesias-Urkia, Aitor Urbieta, José H. Canós and Gwendal Daniel. Their work appears in journals such as Software & Systems Modeling, Science of Computer Programming, Genes, Personal and Ubiquitous Computing and Technological Forecasting and Social Change.
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.