Mercè Villanueva
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Discrete Mathematics and Combinatorics top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Cristina Fernández-CórdobaJosep RifàKevin T. PhelpsJaume PujolJoaquim BorgesDenis S. KrotovF. I. Solov’evaC. Vela
- Topics
- Coding theory and cryptography (50 papers)graph theory and CDMA systems (46 papers)Finite Group Theory Research (18 papers)
- Cited by
- Discrete Mathematics and CombinatoricsArtificial IntelligenceComputer Networks and Communications
- Partner nations
- SpainUnited StatesRussia
In The Last Decade
Mercè Villanueva
44 papers receiving 410 citations
Peers
Comparison fields: 5 of 19
- Artificial Intelligence 458
- Electrical and Electronic Engineering 413
- Computer Networks and Communications 219
- Discrete Mathematics and Combinatorics 131
- Computational Theory and Mathematics 81
Countries citing papers authored by Mercè Villanueva
This map shows the geographic impact of Mercè Villanueva'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 Mercè Villanueva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mercè Villanueva more than expected).
Fields of papers citing papers by Mercè Villanueva
This network shows the impact of papers produced by Mercè Villanueva. 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 Mercè Villanueva. The network helps show where Mercè Villanueva may publish in the future.
Co-authorship network of co-authors of Mercè Villanueva
This figure shows the co-authorship network connecting the top 25 collaborators of Mercè Villanueva. A scholar is included among the top collaborators of Mercè Villanueva 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 Mercè Villanueva. Mercè Villanueva 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 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | 15 | |
| 12 | 0 | |
| 13 | 15 | |
| 14 | Quasi-cyclic Regenerating Codes | 3 |
| 15 | 7 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 23 |
About Mercè Villanueva
Mercè Villanueva is a scholar working on Discrete Mathematics and Combinatorics, Artificial Intelligence and Computer Networks and Communications, having authored 52 papers that have together received 482 indexed citations. Recurring topics across this work include Coding theory and cryptography (50 papers), graph theory and CDMA systems (46 papers) and Finite Group Theory Research (18 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (131 citations), Artificial Intelligence (458 citations) and Computer Networks and Communications (219 citations). Mercè Villanueva has collaborated with scholars based in Spain, United States and Russia. Frequent co-authors include Cristina Fernández-Córdoba, Josep Rifà, Kevin T. Phelps, Jaume Pujol, Joaquim Borges, Denis S. Krotov, F. I. Solov’eva, C. Vela, Victor Zinoviev and Steven T. Dougherty. Their work appears in journals such as IEEE Transactions on Information Theory, Discrete Mathematics and Designs Codes and Cryptography.
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.