Erick Oduor

655 citations
24 papers · 403 · h-index 11

Impact in

Papers in

Erick Oduor

24 papers receiving 386 citations

Peers

Erick Oduor
Comparison fields: 5 of 78
  • Human-Computer Interaction 163
  • Business and International Management 13
  • Management of Technology and Innovation 36
  • Information Systems and Management 34
  • Information Systems 104
Replace Shruthi Sai Chivukula with:
Shruthi Sai Chivukula United States
Carolyn Pang Canada
Michaelanne Dye United States
Peter Novitzky United Kingdom
José Abdelnour-Nocera United Kingdom
Heloísa Candello Brazil
Aditya Vishwanath United States
Neha Kumar United States
Divya Ramachandran India
Eric Corbett United States
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Citations per field
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Shruthi Sai Chivukula · 1×
Citations per year

Countries citing papers authored by Erick Oduor

Since Specialization
Citations

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

Fields of papers citing papers by Erick Oduor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Erick Oduor, 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 Erick Oduor Line = papers co-authored together Erick Oduor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201691
2 201547
3 201340
4 201440
5 201826
6 202022
7 201416
8 202115
9 201514
10 201312
11 202011
12 201610
13 20149
14 20178
15 20167
16 20197
17 20126
18 20135
19 20135
20 20185

About Erick Oduor

Erick Oduor is a scholar working on Information Systems, Human-Computer Interaction, Information Systems and Management, Management of Technology and Innovation and Demography, having authored 24 papers that have together received 403 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (9 papers), ICT in Developing Communities (8 papers), Technology Use by Older Adults (5 papers), Innovative Approaches in Technology and Social Development (5 papers), Personal Information Management and User Behavior (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), E-Government and Public Services (2 papers) and Mobile Health and mHealth Applications (2 papers). The work is most often cited by research in Human-Computer Interaction (163 citations), Business and International Management (13 citations), Management of Technology and Innovation (36 citations), Information Systems and Management (34 citations) and Information Systems (104 citations). Erick Oduor has collaborated with scholars based in Canada, United States and Kenya. Frequent co-authors include Carman Neustaedter, Carolyn Pang, Serena Hillman, Tejinder K. Judge, Melanie Tory, Anthony Tang, William Odom, Pourang Irani, Kate Hennessy and Bernhard E. Riecke. Their work appears in journals such as ACM Transactions on Computer-Human Interaction, Personal and Ubiquitous Computing, ANU Open Research (Australian National University) and Singapore Management University Institutional Knowledge (InK) (Singapore Management University).

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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