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
- Co-authors
- Qin Ni (4 shared papers)Ana B. García (4 shared papers)María-Luisa Martín-Ruiz (14 shared papers)Fernando Seoane (9 shared papers)Javier Ferreira (2 shared papers)Mario Vega-Barbas (8 shared papers)Kaj Lindecrantz (2 shared papers)Grigori Sidorov (1 shared paper)
In The Last Decade
Iván Pau
39 papers receiving 573 citations
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 228
- Human-Computer Interaction 39
- Computer Networks and Communications 141
- Health Informatics 7
- Demography 56
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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 181 | |
| 2 | 2016 | 45 | |
| 3 | Implicit Aspect Indicator Extraction for Aspect based Opinion Mining. | 2014 | 34 |
| 4 | 2016 | 31 | |
| 5 | 2024 | 25 | |
| 6 | 2016 | 24 | |
| 7 | 2015 | 22 | |
| 8 | 2021 | 21 | |
| 9 | 2021 | 20 | |
| 10 | 2020 | 20 | |
| 11 | 2017 | 16 | |
| 12 | 2015 | 15 | |
| 13 | 2007 | 14 | |
| 14 | 2019 | 14 | |
| 15 | 2014 | 12 | |
| 16 | 2013 | 11 | |
| 17 | 2017 | 9 | |
| 18 | 2024 | 8 | |
| 19 | 2009 | 8 | |
| 20 | 2017 | 8 |
About Iván Pau
Iván Pau is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Computer Networks and Communications, Occupational Therapy and Demography, having authored 40 papers that have together received 591 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (14 papers), IoT and Edge/Fog Computing (11 papers), Attention Deficit Hyperactivity Disorder (5 papers), Technology Use by Older Adults (4 papers), IoT-based Smart Home Systems (3 papers), Access Control and Trust (3 papers), ICT in Developing Communities (3 papers) and Autism Spectrum Disorder Research (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (228 citations), Human-Computer Interaction (39 citations), Computer Networks and Communications (141 citations), Health Informatics (7 citations) and Demography (56 citations). Iván Pau has collaborated with scholars based in Spain, Sweden and Germany. Frequent co-authors include Qin Ni, Ana B. García, María-Luisa Martín-Ruiz, Fernando Seoane, Javier Ferreira, Mario Vega-Barbas, Kaj Lindecrantz, Grigori Sidorov, Alexander Gelbukh and Nuria Máximo-Bocanegra. Their work appears in journals such as IEEE Access, Sensors, Journal of Medical Internet Research, Future Internet and International Journal of Information Security.
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.