Stephen Kimani

40 papers receiving 399 citations

Peers

Stephen Kimani
Comparison fields: 5 of 97
  • Human-Computer Interaction 132
  • Human Factors and Ergonomics 28
  • Computer Science Applications 43
  • Information Systems and Management 46
  • Information Systems 90
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Anirudha Joshi India
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Jaime Muñoz Arteaga Mexico
Harkirat Padda Canada
Hourieh Khalajzadeh Australia
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Scott Isensee United States
Keith A. Butler United States
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Citations per year

Countries citing papers authored by Stephen Kimani

Since Specialization
Citations

This map shows the geographic impact of Stephen Kimani'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 Stephen Kimani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Kimani more than expected).

Fields of papers citing papers by Stephen Kimani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Kimani. 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 Stephen Kimani. The network helps show where Stephen Kimani may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephen Kimani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen Kimani Line = papers co-authored together Stephen Kimani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200688
2 200940
3
Application of k- Nearest Neighbour Classification in Medical Data Mining
201424
4 200920
5 201118
6 201617
7 202116
8 201516
9 201916
10 200615
11 201015
12 200314
13 201013
14
An enhanced Least Significant Bit Steganographic Method for Information Hiding
201212
15 200912
16 200412
17 20059
18 20089
19 20048
20 20107

About Stephen Kimani

Stephen Kimani is a scholar working on Information Systems, Human-Computer Interaction, Signal Processing, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 47 papers that have together received 439 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (8 papers), Digital Accessibility for Disabilities (6 papers), Data Management and Algorithms (6 papers), Data Visualization and Analytics (5 papers), Impact of Technology on Adolescents (5 papers), Software Engineering Research (5 papers), Text Readability and Simplification (4 papers) and Software Reliability and Analysis Research (4 papers). The work is most often cited by research in Human-Computer Interaction (132 citations), Human Factors and Ergonomics (28 citations), Computer Science Applications (43 citations), Information Systems and Management (46 citations) and Information Systems (90 citations). Stephen Kimani has collaborated with scholars based in Italy, Kenya and Australia. Frequent co-authors include Silvia Gabrielli, Enrico Bertini, Tiziana Catarci, Shlomo Berkovsky, Jill Freyne, Nilufar Baghaei, Giuseppe Santucci, Alan Dix, Greg Smith and Waweru Mwangi. Their work appears in journals such as Journal of Visual Languages & Computing, New Review of Hypermedia and Multimedia, Educational Technology & Society, International Journal of Human-Computer Interaction and Universal Access in the Information Society.

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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