Logan Kendall

438 citations
14 papers · 361 · h-index 10

Impact in

Papers in

Logan Kendall

14 papers receiving 354 citations

Peers

Logan Kendall
Comparison fields: 5 of 72
  • Human-Computer Interaction 87
  • Applied Psychology 49
  • General Health Professions 148
  • Health Information Management 24
  • Demography 62
Replace Shefali Haldar with:
Shefali Haldar United States
Svetlena Taneva Canada
Tara McCurdie Australia
Nikki Newhouse United Kingdom
Maddalena Fiordelli Switzerland
Antonia Arnaert Canada
Jeungok Choi United States
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Logan Kendall relative to Shefali Haldar United States Shefali Haldar's profile →
Citations per field
00.5×6.8×
Shefali Haldar · 1×
Citations per year

Countries citing papers authored by Logan Kendall

Since Specialization
Citations

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

Fields of papers citing papers by Logan Kendall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Logan Kendall, 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 Logan Kendall Line = papers co-authored together Logan Kendall links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2016105
2 201672
3 201645
4 201527
5
Long-Term Engagement with Health-Management Technology: a Dynamic Process in Diabetes.
201521
6
Making background work visible: opportunities to address patient information needs in the hospital.
201520
7 201119
8
Use of simulated physician handoffs to study cross-cover chart biopsy in the electronic medical record.
201311
9 201511
10 20159
11
Using Priorities of Hospitalized Patients and Their Caregivers to Develop Personas.
20197
12
Engineering for reliability in at-home chronic disease management.
20146
13 20195
14 20153

About Logan Kendall

Logan Kendall is a scholar working on General Health Professions, Human-Computer Interaction, Health Information Management, Applied Psychology and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 361 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (6 papers), Health Policy Implementation Science (3 papers), Digital Mental Health Interventions (3 papers), Electronic Health Records Systems (3 papers), Diabetes Management and Education (3 papers), Diabetes Management and Research (2 papers), Healthcare Systems and Technology (2 papers) and Persona Design and Applications (2 papers). The work is most often cited by research in Human-Computer Interaction (87 citations), Applied Psychology (49 citations), General Health Professions (148 citations), Health Information Management (24 citations) and Demography (62 citations). Logan Kendall has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Wanda Pratt, Ari H. Pollack, Sonali R. Mishra, Andrew Miller, Shefali Haldar, Predrag Klasnja, Uba Backonja, Katherine Blondon, Jordan Eschler and Lisa M. Vizer. Their work appears in journals such as Patient Experience Journal and PubMed.

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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