José M. Claver
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Co-authors
- Juan J. Pérez-SolanoR. Marı́nRaúl WirzJ. AguadoManuel FerréPeter BennerEnrique S. Quintana–Ort́ıJoaquín Ortego
- Topics
- Video Coding and Compression Technologies (12 papers)Image and Video Quality Assessment (12 papers)Advanced Vision and Imaging (7 papers)
- Cited by
- Signal ProcessingComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- SpainGermanyUnited Kingdom
In The Last Decade
José M. Claver
37 papers receiving 288 citations
Peers
Comparison fields: 5 of 57
- Electrical and Electronic Engineering 97
- Computer Networks and Communications 95
- Signal Processing 74
- Computer Vision and Pattern Recognition 73
- Mechanical Engineering 46
Countries citing papers authored by José M. Claver
This map shows the geographic impact of José M. Claver'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 José M. Claver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José M. Claver more than expected).
Fields of papers citing papers by José M. Claver
This network shows the impact of papers produced by José M. Claver. 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 José M. Claver. The network helps show where José M. Claver may publish in the future.
Co-authorship network of co-authors of José M. Claver
This figure shows the co-authorship network connecting the top 25 collaborators of José M. Claver. A scholar is included among the top collaborators of José M. Claver 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 José M. Claver. José M. Claver is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 38 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 32 | |
| 8 | 9 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | Assessment Technique to Encourage Cooperative Learning in a Computer Programming Course | 1 |
| 14 | 9 | |
| 15 | 43 | |
| 16 | 7 | |
| 17 | 10 | |
| 18 | End-to-end congestion control protocols for internet telerobotics | 0 |
| 19 | 3 | |
| 20 | Efficient Solution of Coupled Lyapunov Equations via Matrix Sign Function Iteration | 10 |
About José M. Claver
José M. Claver is a scholar working on Signal Processing, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 299 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (12 papers), Image and Video Quality Assessment (12 papers) and Advanced Vision and Imaging (7 papers). The work is most often cited by research in Signal Processing (74 citations), Computer Networks and Communications (95 citations) and Computer Vision and Pattern Recognition (73 citations). José M. Claver has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include Juan J. Pérez-Solano, R. Marı́n, Raúl Wirz, J. Aguado, Manuel Ferré, Peter Benner, Enrique S. Quintana–Ort́ı, Joaquín Ortego, Miguel García and José L. Sánchez. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Access 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.