María A. Martínez
- Artificial Intelligence top 5%
- Management Science and Operations Research top 2%
- Computer Science Applications top 1%
- Information Systems top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Enrique Herrera‐ViedmaJuan A. LaraDavid LizcanoM.J. del MoralÁlvaro Tejeda-LorenteCarlos PorcelJuan PazosFrancisco Javier Cabrerizo
- Topics
- Multi-Criteria Decision Making (5 papers)Online Learning and Analytics (3 papers)Data Management and Algorithms (3 papers)
- Cited by
- Computer Science ApplicationsManagement Science and Operations ResearchArtificial Intelligence
- Partner nations
- SpainSaudi ArabiaUnited Kingdom
In The Last Decade
María A. Martínez
23 papers receiving 782 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 315
- Management Science and Operations Research 285
- Computer Science Applications 248
- Information Systems 184
- Computational Theory and Mathematics 124
Countries citing papers authored by María A. Martínez
This map shows the geographic impact of María A. Martínez'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 María A. Martínez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María A. Martínez more than expected).
Fields of papers citing papers by María A. Martínez
This network shows the impact of papers produced by María A. Martínez. 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 María A. Martínez. The network helps show where María A. Martínez may publish in the future.
Co-authorship network of co-authors of María A. Martínez
This figure shows the co-authorship network connecting the top 25 collaborators of María A. Martínez. A scholar is included among the top collaborators of María A. Martínez 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 María A. Martínez. María A. Martínez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 175 | |
| 6 | 6 | |
| 7 | 134 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 98 | |
| 11 | 4 | |
| 12 | 20 | |
| 13 | 131 | |
| 14 | 29 | |
| 15 | 6 | |
| 16 | 5 | |
| 17 | 139 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 0 |
About María A. Martínez
María A. Martínez is a scholar working on Theoretical Computer Science, Computer Science Applications and Management Science and Operations Research, having authored 26 papers that have together received 816 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (5 papers), Online Learning and Analytics (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Computer Science Applications (248 citations), Management Science and Operations Research (285 citations) and Artificial Intelligence (315 citations). María A. Martínez has collaborated with scholars based in Spain, Saudi Arabia and United Kingdom. Frequent co-authors include Enrique Herrera‐Viedma, Juan A. Lara, David Lizcano, M.J. del Moral, Álvaro Tejeda-Lorente, Carlos Porcel, Juan Pazos, Francisco Javier Cabrerizo, Rami Al‐Hmouz and Ali Morfeq. Their work appears in journals such as Expert Systems with Applications, Computers & Education and Sensors.
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.