Héctor D. Menéndez
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Networks and Communications top 5%
- Sociology and Political Science top 10%
- Information Systems top 5%
- Co-authors
- David CamachoShintaro OkazakiAlejandro MartínKirk PlanggerDavid ClarkDouglas WestDavid F. BarreroVíctor Rodríguez-Fernández
- Topics
- Advanced Clustering Algorithms Research (11 papers)Software Testing and Debugging Techniques (11 papers)Advanced Malware Detection Techniques (10 papers)
- Cited by
- SoftwareSignal ProcessingMarketing
- Journals
- Journal of Business ResearchExpert Systems with ApplicationsIEEE Transactions on Software Engineering
- Partner nations
- SpainUnited KingdomSwitzerland
In The Last Decade
Héctor D. Menéndez
46 papers receiving 694 citations
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 274
- Signal Processing 205
- Computer Networks and Communications 170
- Sociology and Political Science 161
- Information Systems 124
Countries citing papers authored by Héctor D. Menéndez
This map shows the geographic impact of Héctor D. Menéndez'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 Héctor D. Menéndez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Héctor D. Menéndez more than expected).
Fields of papers citing papers by Héctor D. Menéndez
This network shows the impact of papers produced by Héctor D. Menéndez. 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 Héctor D. Menéndez. The network helps show where Héctor D. Menéndez may publish in the future.
Co-authorship network of co-authors of Héctor D. Menéndez
This figure shows the co-authorship network connecting the top 25 collaborators of Héctor D. Menéndez. A scholar is included among the top collaborators of Héctor D. Menéndez based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Héctor D. Menéndez. Héctor D. Menéndez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 23 | |
| 9 | 11 | |
| 10 | 28 | |
| 11 | 2 | |
| 12 | 27 | |
| 13 | 27 | |
| 14 | SACOC: A spectral-based ACO clustering algorithm | 1 |
| 15 | User Profile Analysis for UAV Operators in a Simulation Environment. | 1 |
| 16 | 20 | |
| 17 | 17 | |
| 18 | 5 | |
| 19 | 53 | |
| 20 | 6 |
About Héctor D. Menéndez
Héctor D. Menéndez is a scholar working on Software, Signal Processing and Artificial Intelligence, having authored 48 papers that have together received 743 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (11 papers), Software Testing and Debugging Techniques (11 papers) and Advanced Malware Detection Techniques (10 papers). The work is most often cited by research in Software (96 citations), Signal Processing (205 citations) and Marketing (87 citations). Héctor D. Menéndez has collaborated with scholars based in Spain, United Kingdom and Switzerland. Frequent co-authors include David Camacho, Shintaro Okazaki, Alejandro Martín, Kirk Plangger, David Clark, Douglas West, David F. Barrero, Víctor Rodríguez-Fernández, Ana M. Díaz‐Martín and Gema Bello-Orgaz. Their work appears in journals such as Journal of Business Research, Expert Systems with Applications and IEEE Transactions on Software 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.