Terika McCall

465 citations
33 papers · 262 · h-index 10

Impact in

Papers in

Terika McCall

26 papers receiving 257 citations

Peers

Terika McCall
Comparison fields: 5 of 74
  • Health Informatics 24
  • Applied Psychology 39
  • Human-Computer Interaction 16
  • Health Information Management 10
  • General Health Professions 37
Replace Eleanor R. Burgess with:
Eleanor R. Burgess United States
Arthur Guillemassé France
Guillaume Delamon France
Abhishek Aggarwal United States
Nikki Newhouse United Kingdom
Nils B. Heyen Germany
Anupama Gunshekar Cemballi United States
Elina Laukka Finland
Heidi Siira Finland
Cheryl Grindell United Kingdom
Terika McCall relative to Eleanor R. Burgess United States Eleanor R. Burgess's profile →
Citations per field
00.5×1.5×
Eleanor R. Burgess · 1×
Citations per year

Countries citing papers authored by Terika McCall

Since Specialization
Citations

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

Fields of papers citing papers by Terika McCall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202248
2 200740
3 202435
4 202117
5 202013
6 202213
7 201812
8 202311
9 202211
10 202311
11 20219
12 20198
13 20237
14 20235
15 20244
16 20233
17 20213
18 20242
19 20242
20 20242

About Terika McCall

Terika McCall is a scholar working on Applied Psychology, General Health Professions, Social Psychology, Clinical Psychology and Health Informatics, having authored 33 papers that have together received 262 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (10 papers), Telemedicine and Telehealth Implementation (4 papers), Mobile Health and mHealth Applications (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Mental Health via Writing (2 papers), Machine Learning in Healthcare (2 papers), Health Literacy and Information Accessibility (2 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Health Informatics (24 citations), Applied Psychology (39 citations), Human-Computer Interaction (16 citations), Health Information Management (10 citations) and General Health Professions (37 citations). Terika McCall has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Saif Khairat, Karen Wang, Carol Oladele, Todd A. Schwartz, Tiffany I. Leung, Cecil M. Burchfiel, Desta Fekedulegn, John M. Violanti, Luenda E. Charles and Michael E. Andrew. Their work appears in journals such as Journal of Medical Internet Research, Obesity, Frontiers in Public Health, Trends in cancer and BMJ Open.

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.

Explore authors with similar magnitude of impact