Pablo Chamoso
Impact in
- Media Technology top 2%
- Smart Cities and Technologies
-
- Online Learning and Analytics
Papers in
-
- Multi-Agent Systems and Negotiation 7
-
- Cloud Computing and Resource Management 5
- Recommender Systems and Techniques 5
- Co-authors
- Juan M. Corchado (48 shared papers)Alfonso González‐Briones (42 shared papers)Sara Rodrı́guez (21 shared papers)Alberto Rivas (25 shared papers)Fernando De la Prieta (24 shared papers)Javier Prieto (9 shared papers)Juan F. De Paz (8 shared papers)Javier Bajo (14 shared papers)
In The Last Decade
Pablo Chamoso
104 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 137
- Media Technology 189
- Computer Science Applications 115
- Information Systems 406
- Computer Networks and Communications 378
- Transportation 104
Countries citing papers authored by Pablo Chamoso
This map shows the geographic impact of Pablo Chamoso'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 Pablo Chamoso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Chamoso more than expected).
Fields of papers citing papers by Pablo Chamoso
This network shows the impact of papers produced by Pablo Chamoso. 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 Pablo Chamoso. The network helps show where Pablo Chamoso may publish in the future.
Co-authors
The 25 scholars most cited alongside Pablo Chamoso, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 209 | |
| 2 | 2018 | 170 | |
| 3 | 2018 | 118 | |
| 4 | 2019 | 97 | |
| 5 | 2020 | 90 | |
| 6 | 2014 | 70 | |
| 7 | 2017 | 57 | |
| 8 | 2019 | 54 | |
| 9 | 2020 | 42 | |
| 10 | 2018 | 41 | |
| 11 | 2021 | 38 | |
| 12 | 2019 | 36 | |
| 13 | 2019 | 35 | |
| 14 | 2018 | 32 | |
| 15 | 2017 | 32 | |
| 16 | 2017 | 30 | |
| 17 | 2019 | 25 | |
| 18 | 2015 | 23 | |
| 19 | 2018 | 23 | |
| 20 | 2018 | 22 |
About Pablo Chamoso
Pablo Chamoso is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 111 papers that have together received 1.8k indexed citations. Recurring topics across this work include Smart Cities and Technologies (11 papers), IoT and Edge/Fog Computing (7 papers), Multi-Agent Systems and Negotiation (7 papers), Smart Parking Systems Research (7 papers), Smart Grid Energy Management (6 papers), Retinal Imaging and Analysis (6 papers), Cloud Computing and Resource Management (5 papers) and Recommender Systems and Techniques (5 papers). The work is most often cited by research in Media Technology (189 citations), Computer Science Applications (115 citations), Information Systems (406 citations), Computer Networks and Communications (378 citations) and Transportation (104 citations). Pablo Chamoso has collaborated with scholars based in Spain, Japan and Malaysia. Frequent co-authors include Juan M. Corchado, Alfonso González‐Briones, Sara Rodrı́guez, Alberto Rivas, Fernando De la Prieta, Javier Prieto, Juan F. De Paz, Javier Bajo, Roberto Casado‐Vara and Guillermo Hernández. Their work appears in journals such as Electronics, Sensors, Knowledge and Information Systems, Logic Journal of IGPL and Applied 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.