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, Grace Wang and Fraenze Kibowski 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

Peers

Eiman Kanjo
Comparison fields: 5 of 129
  • Sociology and Political Science 361
  • Experimental and Cognitive Psychology 316
  • Cognitive Neuroscience 222
  • Human-Computer Interaction 216
  • Computer Vision and Pattern Recognition 182
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Citations per field, relative to Eiman Kanjo
Eiman Kanjo · 1×
Citations per year, relative to Eiman Kanjo
Eiman Kanjo · 1×

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
# Work Indexed citations
1 0
2 1
3 0
4 9
5 0
6 1
7 8
8 9
9 15
10 2
11 7
12 9
13 105
14 89
15 135
16 5
17 1
18
Towards an early warning system: the effect of weather on mobile phone usage. A case study in Abidjan
3
19 20
20 12

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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