Everlyne Kimani

538 citations
27 papers · 310 indexed · h-index 10
Topics
AI in Service Interactions (8 papers)Atrial Fibrillation Management and Outcomes (6 papers)Medication Adherence and Compliance (5 papers)

In The Last Decade

Everlyne Kimani

25 papers receiving 302 citations

Peers

Everlyne Kimani
Comparison fields: 5 of 66
  • Artificial Intelligence 99
  • Applied Psychology 88
  • Social Psychology 74
  • Human-Computer Interaction 59
  • General Health Professions 52
Replace Dina Utami with:
Dina Utami Indonesia
Stefán Ólafsson United States
Ha Trinh United States
Eric Forbell United States
Myrthe L. Tielman Netherlands
M. Sazzad Hussain Australia
Himalaya Patel United States
Teresa K. O’Leary United States
Young‐Ho Kim South Korea
Bingsheng Yao United States
Everlyne Kimani relative to Dina Utami Indonesia Dina Utami's profile →
Citations per field
00.5×1.7×
Dina Utami · 1×
Citations per year

Countries citing papers authored by Everlyne Kimani

Since Specialization
Citations

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

Fields of papers citing papers by Everlyne Kimani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Everlyne Kimani

This figure shows the co-authorship network connecting the top 25 collaborators of Everlyne Kimani. A scholar is included among the top collaborators of Everlyne Kimani 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 Everlyne Kimani. Everlyne Kimani 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
#WorkIndexed citations
1 0
2 0
3 6
4 1
5 2
6 4
7 5
8 2
9 2
10 27
11 4
12 25
13 9
14 25
15 12
16 3
17 14
18 43
19 11
20 30

About Everlyne Kimani

Everlyne Kimani is a scholar working on Family Practice, Applied Psychology and Social Psychology, having authored 27 papers that have together received 310 indexed citations. Recurring topics across this work include AI in Service Interactions (8 papers), Atrial Fibrillation Management and Outcomes (6 papers) and Medication Adherence and Compliance (5 papers). The work is most often cited by research in Applied Psychology (88 citations), Human-Computer Interaction (59 citations) and Family Practice (13 citations). Everlyne Kimani has collaborated with scholars based in United States, Iceland and Switzerland. Frequent co-authors include Timothy Bickmore, Michael K. Paasche‐Orlow, Ha Trinh, Jared W. Magnani, Dhaval Parmar, Mary Czerwinski, Teresa K. O’Leary, Daniel McDuff, Gloria Mark and Kael Rowan. Their work appears in journals such as Scientific Reports, American Heart Journal and International Journal of Cardiology.

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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