Pablo Chamoso
Impact in
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- Online Learning and Analytics
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Recommender Systems and Techniques
Papers in
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- Cloud Computing and Resource Management 4
- Recommender Systems and Techniques 3
- Co-authors
- Juan M. Corchado (29 shared papers)Alfonso González‐Briones (21 shared papers)Fernando De la Prieta (16 shared papers)Alberto Rivas (10 shared papers)Sara Rodrı́guez (13 shared papers)Juan F. De Paz (3 shared papers)Gabriel Villarrubia González (2 shared papers)Javier Prieto (6 shared papers)
In The Last Decade
Pablo Chamoso
55 papers receiving 982 citations
Peers
Comparison fields: 5 of 127
- Computer Science Applications 82
- Information Systems 245
- Media Technology 95
- Transportation 68
- Computer Networks and Communications 225
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 192 | |
| 2 | 2018 | 107 | |
| 3 | 2018 | 103 | |
| 4 | 2020 | 75 | |
| 5 | 2019 | 61 | |
| 6 | 2019 | 48 | |
| 7 | 2017 | 45 | |
| 8 | 2021 | 30 | |
| 9 | 2020 | 29 | |
| 10 | 2018 | 28 | |
| 11 | 2018 | 22 | |
| 12 | 2018 | 19 | |
| 13 | 2015 | 15 | |
| 14 | 2019 | 15 | |
| 15 | 2023 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2019 | 12 | |
| 18 | 2021 | 12 | |
| 19 | 2018 | 11 | |
| 20 | 2020 | 11 |
About Pablo Chamoso
Pablo Chamoso is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Electrical and Electronic Engineering and Computer Science Applications, having authored 59 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (4 papers), IoT and Edge/Fog Computing (4 papers), Cloud Computing and Resource Management (4 papers), Smart Cities and Technologies (4 papers), Retinal Imaging and Analysis (4 papers), Digital Marketing and Social Media (3 papers), Recommender Systems and Techniques (3 papers) and Smart Agriculture and AI (3 papers). The work is most often cited by research in Computer Science Applications (82 citations), Information Systems (245 citations), Media Technology (95 citations), Transportation (68 citations) and Computer Networks and Communications (225 citations). Pablo Chamoso has collaborated with scholars based in Spain, Japan and Malaysia. Frequent co-authors include Juan M. Corchado, Alfonso González‐Briones, Fernando De la Prieta, Alberto Rivas, Sara Rodrı́guez, Juan F. De Paz, Gabriel Villarrubia González, Javier Prieto, Javier Bajo and Guillermo Hernández. Their work appears in journals such as Electronics, Sensors, Logic Journal of IGPL, Knowledge and Information Systems and Neurocomputing.
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.