Marta Rey-López
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science top 10%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Ana Belén Barragáns MartínezEnrique Costa‐MontenegroFernando A. Mikic-FonteAna PeleteiroJuan C. BurguilloAna Fernández VilasRebeca P. Dı́az RedondoJosé J. Pazos‐Arias
- Topics
- Video Analysis and Summarization (8 papers)Multimedia Communication and Technology (8 papers)Recommender Systems and Techniques (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsInformation Sciences
- Partner nations
- SpainAustraliaUnited Kingdom
In The Last Decade
Marta Rey-López
16 papers receiving 416 citations
Peers
Comparison fields: 5 of 54
- Information Systems 325
- Computer Vision and Pattern Recognition 132
- Sociology and Political Science 117
- Artificial Intelligence 116
- Computer Networks and Communications 82
Countries citing papers authored by Marta Rey-López
This map shows the geographic impact of Marta Rey-López'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 Marta Rey-López with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Rey-López more than expected).
Fields of papers citing papers by Marta Rey-López
This network shows the impact of papers produced by Marta Rey-López. 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 Marta Rey-López. The network helps show where Marta Rey-López may publish in the future.
Co-authorship network of co-authors of Marta Rey-López
This figure shows the co-authorship network connecting the top 25 collaborators of Marta Rey-López. A scholar is included among the top collaborators of Marta Rey-López 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 Marta Rey-López. Marta Rey-López is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 63 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 24 | |
| 6 | 255 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | Resolving the Problem of Intelligent Learning Content in Learning Management Systems | 25 |
| 11 | 19 | |
| 12 | 14 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 9 | |
| 16 | 10 |
About Marta Rey-López
Marta Rey-López is a scholar working on Computer Science Applications, Information Systems and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 445 indexed citations. Recurring topics across this work include Video Analysis and Summarization (8 papers), Multimedia Communication and Technology (8 papers) and Recommender Systems and Techniques (7 papers). The work is most often cited by research in Information Systems (325 citations), Computer Science Applications (57 citations) and Computational Mathematics (5 citations). Marta Rey-López has collaborated with scholars based in Spain, Australia and United Kingdom. Frequent co-authors include Ana Belén Barragáns Martínez, Enrique Costa‐Montenegro, Fernando A. Mikic-Fonte, Ana Peleteiro, Juan C. Burguillo, Ana Fernández Vilas, Rebeca P. Dı́az Redondo, José J. Pazos‐Arias, Jorge García‐Duque and Manuel Ramos‐Cabrer. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information Sciences.
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.