Eiman Kanjo

2.5k total citations
68 papers, 1.5k citations indexed

About

Eiman Kanjo is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Eiman Kanjo has authored 68 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Experimental and Cognitive Psychology, 16 papers in Computer Vision and Pattern Recognition and 12 papers in Human-Computer Interaction. Recurrent topics in Eiman Kanjo's work include Emotion and Mood Recognition (13 papers), Context-Aware Activity Recognition Systems (13 papers) and Human Mobility and Location-Based Analysis (9 papers). Eiman Kanjo is often cited by papers focused on Emotion and Mood Recognition (13 papers), Context-Aware Activity Recognition Systems (13 papers) and Human Mobility and Location-Based Analysis (9 papers). Eiman Kanjo collaborates with scholars based in United Kingdom, Saudi Arabia and United States. Eiman Kanjo's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Computers in Human Behavior.

In The Last Decade

Eiman Kanjo

64 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Eiman Kanjo 361 316 222 216 182 68 1.5k
Fabio Pianesi 377 1.0× 431 1.4× 233 1.0× 228 1.1× 319 1.8× 84 2.1k
Helmut Hlavacs 340 0.9× 175 0.6× 156 0.7× 378 1.8× 113 0.6× 99 1.8k
Jason Wiese 458 1.3× 131 0.4× 210 0.9× 421 1.9× 207 1.1× 55 1.4k
Berry Eggen 248 0.7× 132 0.4× 218 1.0× 915 4.2× 277 1.5× 101 2.0k
Teemu H. Laine 271 0.8× 99 0.3× 133 0.6× 465 2.2× 579 3.2× 100 1.8k
Mi Zhang 262 0.7× 448 1.4× 139 0.6× 222 1.0× 361 2.0× 68 2.4k
Boris de Ruyter 389 1.1× 177 0.6× 190 0.9× 564 2.6× 307 1.7× 62 1.9k
Taemie Kim 147 0.4× 119 0.4× 87 0.4× 172 0.8× 175 1.0× 20 1.2k
Martin Pielot 293 0.8× 166 0.5× 589 2.7× 931 4.3× 333 1.8× 49 2.0k
Silvia Gabrielli 185 0.5× 95 0.3× 102 0.5× 488 2.3× 209 1.1× 81 1.5k

Countries citing papers authored by Eiman Kanjo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Eiman Kanjo

This figure shows the co-authorship network connecting the top 25 collaborators of Eiman Kanjo. A scholar is included among the top collaborators of Eiman Kanjo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eiman Kanjo. Eiman Kanjo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kanjo, Eiman, et al.. (2025). A Multicore and Edge TPU-Accelerated Multimodal TinyML System for Livestock Behavior Recognition. IEEE Internet of Things Journal. 13(1). 666–677.
2.
Kanjo, Eiman, et al.. (2025). HAC-M-DNN: Hardware Aware Compression of Sustainable Multimodal Deep Neural Networks for Efficient TinyML Deployment. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 1–7. 1 indexed citations
3.
Kanjo, Eiman, et al.. (2024). A stand-alone proximity-based gaming wearable for remote physical activity monitoring. SHILAP Revista de lepidopterología. 5.
4.
Kanjo, Eiman, et al.. (2023). In the hands of users with intellectual disabilities: co-designing tangible user interfaces for mental wellbeing. Personal and Ubiquitous Computing. 27(6). 2171–2191. 1 indexed citations
5.
Osman, Taha, et al.. (2023). Semantic-based assembly framework for the generation of travel demand. Simulation Modelling Practice and Theory. 131. 102869–102869.
6.
Kanjo, Eiman, et al.. (2023). DigitalExposome: quantifying impact of urban environment on wellbeing using sensor fusion and deep learning. SHILAP Revista de lepidopterología. 3(1). 14–14. 9 indexed citations
7.
Kanjo, Eiman, et al.. (2023). Realising the Power of Edge Intelligence: Addressing the Challenges in AI and tinyML Applications for Edge Computing. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 337–343. 9 indexed citations
8.
Ang, Chee Siang, et al.. (2022). An EMG-based Eating Behaviour Monitoring system with haptic feedback to promote mindful eating. Computers in Biology and Medicine. 149. 106068–106068. 15 indexed citations
9.
Kanjo, Eiman, et al.. (2021). Towards the use of IoT and AI for Pervasive Exergames. 1–6. 2 indexed citations
10.
Kanjo, Eiman, et al.. (2020). iFidgetCube: Tangible Fidgeting Interfaces (TFIs) to Monitor and Improve Mental Wellbeing. IEEE Sensors Journal. 21(13). 14300–14307. 7 indexed citations
11.
Kanjo, Eiman, et al.. (2020). LabelSens: enabling real-time sensor data labelling at the point of collection using an artificial intelligence-based approach. Personal and Ubiquitous Computing. 24(5). 709–722. 9 indexed citations
12.
Harkin, Lydia, et al.. (2019). Problematic smartphone use: An empirically validated model. Computers in Human Behavior. 100. 105–117. 105 indexed citations
13.
Kuss, Daria J., Lydia Harkin, Eiman Kanjo, & Joël Billieux. (2018). Problematic Smartphone Use: Investigating Contemporary Experiences Using a Convergent Design. International Journal of Environmental Research and Public Health. 15(1). 142–142. 89 indexed citations
14.
Kuss, Daria J., et al.. (2018). Problematic Mobile Phone Use and Addiction Across Generations: the Roles of Psychopathological Symptoms and Smartphone Use. Journal of Technology in Behavioral Science. 3(3). 141–149. 135 indexed citations
15.
Kanjo, Eiman, et al.. (2018). Things of the Internet (ToI). Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 1228–1233. 5 indexed citations
16.
Kanjo, Eiman, et al.. (2017). NeuroPlace: Categorizing urban places according to mental states. PLoS ONE. 12(9). e0183890–e0183890. 39 indexed citations
17.
Kanjo, Eiman. (2015). iPlayset: Tangible Interface that Brings Toys to Life. 3. 63–70. 1 indexed citations
18.
Kanjo, Eiman, et al.. (2013). Towards an early warning system: the effect of weather on mobile phone usage. A case study in Abidjan. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 3 indexed citations
19.
Kanjo, Eiman, et al.. (2013). Shopmobia: An Emotion-Based Shop Rating System. 11. 745–750. 20 indexed citations
20.
Kanjo, Eiman, et al.. (2013). NeuroPlace. 186–189. 12 indexed citations

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.

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