Eiman Kanjo
Impact in
- Human-Computer Interaction top 2%
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Emotion and Mood Recognition 13
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- Context-Aware Activity Recognition Systems 13
- Co-authors
- Eman M. G. Younis (6 shared papers)Chee Siang Ang (5 shared papers)Daria J. Kuss (5 shared papers)Alan Chamberlain (8 shared papers)Lydia Harkin (2 shared papers)Joël Billieux (2 shared papers)Nasser Sherkat (1 shared paper)Alexander Sumich (2 shared papers)
- Journals
- Personal and Ubiquitous Computing (6 papers)IEEE Pervasive Computing (2 papers)Information Fusion (2 papers)Sensors (2 papers)IEEE Communications Magazine (1 paper)
- Partner nations
- United KingdomSaudi ArabiaUnited States
In The Last Decade
Eiman Kanjo
64 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 129
- Human-Computer Interaction 216
- Computer Science Applications 152
- Experimental and Cognitive Psychology 316
- Applied Psychology 108
- Transportation 135
Countries citing papers authored by Eiman Kanjo
This map shows the geographic impact of Eiman Kanjo'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 Eiman Kanjo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiman Kanjo more than expected).
Fields of papers citing papers by Eiman Kanjo
This network shows the impact of papers produced by Eiman Kanjo. 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 Eiman Kanjo. The network helps show where Eiman Kanjo may publish in the future.
Co-authors
The 25 scholars most cited alongside Eiman Kanjo, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 205 | |
| 2 | 2009 | 199 | |
| 3 | 2018 | 135 | |
| 4 | 2019 | 105 | |
| 5 | 2018 | 89 | |
| 6 | 2017 | 80 | |
| 7 | 2015 | 74 | |
| 8 | 2007 | 64 | |
| 9 | 2016 | 56 | |
| 10 | 2009 | 55 | |
| 11 | 2017 | 39 | |
| 12 | 2017 | 36 | |
| 13 | 2022 | 32 | |
| 14 | 2019 | 25 | |
| 15 | 2021 | 24 | |
| 16 | 2013 | 20 | |
| 17 | 2020 | 20 | |
| 18 | 2018 | 18 | |
| 19 | 2013 | 17 | |
| 20 | 2014 | 17 |
About Eiman Kanjo
Eiman Kanjo is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Human-Computer Interaction, Cognitive Neuroscience and Computer Networks and Communications, having authored 68 papers that have together received 1.5k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (13 papers), Context-Aware Activity Recognition Systems (13 papers), Human Mobility and Location-Based Analysis (9 papers), EEG and Brain-Computer Interfaces (8 papers), Innovative Human-Technology Interaction (8 papers), Noise Effects and Management (6 papers), Indoor and Outdoor Localization Technologies (6 papers) and Color perception and design (5 papers). The work is most often cited by research in Human-Computer Interaction (216 citations), Computer Science Applications (152 citations), Experimental and Cognitive Psychology (316 citations), Applied Psychology (108 citations) and Transportation (135 citations). Eiman Kanjo has collaborated with scholars based in United Kingdom, Saudi Arabia and United States. Frequent co-authors include Eman M. G. Younis, Chee Siang Ang, Daria J. Kuss, Alan Chamberlain, Lydia Harkin, Joël Billieux, Nasser Sherkat, Alexander Sumich, Fraenze Kibowski and Grace Wang. Their work appears in journals such as Personal and Ubiquitous Computing, IEEE Pervasive Computing, Information Fusion, Sensors and IEEE Communications Magazine.
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.