Chris Karr

24 papers receiving 1.3k citations

Chris Karr's Hit Papers

Harnessing Context Sensing to Develop a Mobile Intervention for Depression 2011 · 513 citations
5130+5+10Years since publication100200300400500

Peers

Chris Karr
Comparison fields: 5 of 85
  • Applied Psychology 798
  • Experimental and Cognitive Psychology 362
  • Human-Computer Interaction 73
  • General Health Professions 209
  • Health Informatics 10
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Rachel Brian United States
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Countries citing papers authored by Chris Karr

Since Specialization
Citations

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

Fields of papers citing papers by Chris Karr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Harnessing Context Sensing to Develop a Mobile Intervention for Depression
Hit paper breakdown →
2011513
2 2017236
3 201985
4 201681
5 202160
6 201847
7 201546
8 201843
9 202136
10 202125
11 202421
12 202317
13 202116
14 201215
15 202210
16 20218
17 20208
18 20248
19 20237
20 20236

About Chris Karr

Chris Karr is a scholar working on Applied Psychology, Experimental and Cognitive Psychology, Sociology and Political Science, Communication and Human-Computer Interaction, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Digital Mental Health Interventions (14 papers), Mental Health Research Topics (3 papers), Behavioral Health and Interventions (2 papers), Impact of Technology on Adolescents (2 papers), Social Media and Politics (2 papers), Child and Adolescent Psychosocial and Emotional Development (1 paper), Electoral Systems and Political Participation (1 paper) and Context-Aware Activity Recognition Systems (1 paper). The work is most often cited by research in Applied Psychology (798 citations), Experimental and Cognitive Psychology (362 citations), Human-Computer Interaction (73 citations), General Health Professions (209 citations) and Health Informatics (10 citations). Chris Karr has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include David C. Mohr, Mark Begale, Jennifer Duffecy, Darren Gergle, Michelle Nicole Burns, Stephen M. Schueller, Susan M. Kaiser, Kathryn Tomasino, Emily G. Lattie and Mary Kwasny. Their work appears in journals such as Journal of Medical Internet Research, Internet Interventions, Journal of Affective Disorders, JMIR mhealth and uhealth and Journal of the American Medical Informatics Association.

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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