Carlos E. Palau
- Computer Networks and Communications top 2%
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering
- Information Systems top 5%
- Biomedical Engineering
- Co-authors
- Manuel EsteveDiana YacchiremaBenjamín MolinaGiancarlo FortinoIsrael PérezFernando BoronatJuan Carlos GuerriRaffaele Gravina
- Topics
- IoT and Edge/Fog Computing (35 papers)Peer-to-Peer Network Technologies (23 papers)Context-Aware Activity Recognition Systems (16 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
In The Last Decade
Carlos E. Palau
115 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 112
- Computer Networks and Communications 633
- Computer Vision and Pattern Recognition 385
- Electrical and Electronic Engineering 261
- Information Systems 211
- Biomedical Engineering 179
Countries citing papers authored by Carlos E. Palau
This map shows the geographic impact of Carlos E. Palau'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 Carlos E. Palau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos E. Palau more than expected).
Fields of papers citing papers by Carlos E. Palau
This network shows the impact of papers produced by Carlos E. Palau. 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 Carlos E. Palau. The network helps show where Carlos E. Palau may publish in the future.
Co-authorship network of co-authors of Carlos E. Palau
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos E. Palau. A scholar is included among the top collaborators of Carlos E. Palau 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 Carlos E. Palau. Carlos E. Palau 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 37 | |
| 10 | 11 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 9 | |
| 14 | 14 | |
| 15 | 13 | |
| 16 | On the convergence between Wireless Sensor Network and RFID: Industrial environment | 3 |
| 17 | On mobile video streaming IPTV | 6 |
| 18 | 8 | |
| 19 | 2 | |
| 20 | 6 |
About Carlos E. Palau
Carlos E. Palau is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 130 papers that have together received 1.3k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (35 papers), Peer-to-Peer Network Technologies (23 papers) and Context-Aware Activity Recognition Systems (16 papers). The work is most often cited by research in Computer Networks and Communications (633 citations), Computer Vision and Pattern Recognition (385 citations) and Industrial and Manufacturing Engineering (100 citations). Carlos E. Palau has collaborated with scholars based in Spain, Italy and Poland. Frequent co-authors include Manuel Esteve, Diana Yacchirema, Benjamín Molina, Giancarlo Fortino, Israel Pérez, Fernando Boronat, Juan Carlos Guerri, Raffaele Gravina, Salvatore F. Pileggi and Antonio Liotta. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.