Carmen G. Almudéver
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Hardware and Architecture top 5%
- Co-authors
- Koen BertelsLingling LaoImran AshrafXiang FuAntonio RubioSebastian FeldN. KhammassiEduard Alarcón
- Topics
- Quantum Computing Algorithms and Architecture (50 papers)Quantum Information and Cryptography (35 papers)Advancements in Semiconductor Devices and Circuit Design (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Journal of Solid-State Circuits
- Partner nations
- NetherlandsSpainUnited States
In The Last Decade
Carmen G. Almudéver
67 papers receiving 771 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 596
- Atomic and Molecular Physics, and Optics 271
- Electrical and Electronic Engineering 246
- Computational Theory and Mathematics 156
- Hardware and Architecture 84
Countries citing papers authored by Carmen G. Almudéver
This map shows the geographic impact of Carmen G. Almudéver'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 Carmen G. Almudéver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen G. Almudéver more than expected).
Fields of papers citing papers by Carmen G. Almudéver
This network shows the impact of papers produced by Carmen G. Almudéver. 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 Carmen G. Almudéver. The network helps show where Carmen G. Almudéver may publish in the future.
Co-authorship network of co-authors of Carmen G. Almudéver
This figure shows the co-authorship network connecting the top 25 collaborators of Carmen G. Almudéver. A scholar is included among the top collaborators of Carmen G. Almudéver 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 Carmen G. Almudéver. Carmen G. Almudéver 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 | 1 | |
| 4 | 13 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 10 | |
| 16 | 23 | |
| 17 | Mapping of quantum circuits onto NISQ superconducting processors | 9 |
| 18 | 1 | |
| 19 | 21 | |
| 20 | 5 |
About Carmen G. Almudéver
Carmen G. Almudéver is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics, having authored 73 papers that have together received 795 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (50 papers), Quantum Information and Cryptography (35 papers) and Advancements in Semiconductor Devices and Circuit Design (20 papers). The work is most often cited by research in Artificial Intelligence (596 citations), Hardware and Architecture (84 citations) and Computational Theory and Mathematics (156 citations). Carmen G. Almudéver has collaborated with scholars based in Netherlands, Spain and United States. Frequent co-authors include Koen Bertels, Lingling Lao, Imran Ashraf, Xiang Fu, Antonio Rubio, Sebastian Feld, N. Khammassi, Eduard Alarcón, Sergi Abadal and Fabio Sebastiano. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Journal of Solid-State Circuits.
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.