Iván Pau
Impact in
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- Context-Aware Activity Recognition Systems
- Human-Computer Interaction top 10%
Papers in
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- Context-Aware Activity Recognition Systems 14
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- IoT and Edge/Fog Computing 11
- Co-authors
- Ana B. García (4 shared papers)Qin Ni (4 shared papers)María-Luisa Martín-Ruiz (13 shared papers)Fernando Seoane (9 shared papers)Javier Ferreira (2 shared papers)Mario Vega-Barbas (8 shared papers)Kaj Lindecrantz (2 shared papers)Nuria Máximo-Bocanegra (4 shared papers)
In The Last Decade
Iván Pau
36 papers receiving 581 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 222
- Human-Computer Interaction 38
- Computer Networks and Communications 139
- Health Informatics 7
- Demography 48
Countries citing papers authored by Iván Pau
This map shows the geographic impact of Iván Pau'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 Iván Pau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iván Pau more than expected).
Fields of papers citing papers by Iván Pau
This network shows the impact of papers produced by Iván Pau. 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 Iván Pau. The network helps show where Iván Pau may publish in the future.
Co-authors
The 25 scholars most cited alongside Iván Pau, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 183 | |
| 2 | 2016 | 46 | |
| 3 | Implicit Aspect Indicator Extraction for Aspect based Opinion Mining. | 2014 | 34 |
| 4 | 2016 | 31 | |
| 5 | 2024 | 28 | |
| 6 | 2016 | 24 | |
| 7 | 2021 | 23 | |
| 8 | 2015 | 22 | |
| 9 | 2021 | 21 | |
| 10 | 2020 | 21 | |
| 11 | 2017 | 17 | |
| 12 | 2015 | 15 | |
| 13 | 2019 | 15 | |
| 14 | 2007 | 14 | |
| 15 | 2014 | 13 | |
| 16 | 2013 | 11 | |
| 17 | 2017 | 9 | |
| 18 | 2009 | 8 | |
| 19 | 2017 | 8 | |
| 20 | 2022 | 7 |
About Iván Pau
Iván Pau is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Information Systems and Sociology and Political Science, having authored 38 papers that have together received 599 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (14 papers), IoT and Edge/Fog Computing (11 papers), Technology Use by Older Adults (4 papers), Attention Deficit Hyperactivity Disorder (4 papers), Language Development and Disorders (3 papers), ICT in Developing Communities (3 papers), Access Control and Trust (3 papers) and IoT-based Smart Home Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (222 citations), Human-Computer Interaction (38 citations), Computer Networks and Communications (139 citations), Health Informatics (7 citations) and Demography (48 citations). Iván Pau has collaborated with scholars based in Spain, Sweden and Germany. Frequent co-authors include Ana B. García, Qin Ni, María-Luisa Martín-Ruiz, Fernando Seoane, Javier Ferreira, Mario Vega-Barbas, Kaj Lindecrantz, Nuria Máximo-Bocanegra, Alexander Gelbukh and Grigori Sidorov. Their work appears in journals such as IEEE Access, Sensors, Journal of Medical Internet Research, Pervasive and Mobile Computing and International Journal of Environmental Research and Public Health.
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.