Jennifer Harris

32 papers receiving 978 citations

Peers

Jennifer Harris
Comparison fields: 5 of 129
  • Sociology and Political Science 330
  • Marketing 312
  • Information Systems and Management 207
  • Organizational Behavior and Human Resource Management 174
  • Endocrinology, Diabetes and Metabolism 161
Replace Xiling Cui with:
Xiling Cui China
Shuzo Abe Japan
Judith M. Collins United States
I. C. MacMillan United Kingdom
Pamela Kent Australia
Steven M. Edwards United States
Rashid Zaman United Kingdom
Willem J. M. I. Verbeke Netherlands
Younghwa Lee South Korea
Jennifer Harris relative to Xiling Cui China Xiling Cui's profile →
Citations per field
00.5×6.7×
Xiling Cui · 1×
Citations per year

Countries citing papers authored by Jennifer Harris

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Harris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Harris

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Harris. A scholar is included among the top collaborators of Jennifer Harris 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 Jennifer Harris. Jennifer Harris 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 1
3 5
4
Modeling the Habit of Self-Service Technology Usage
2
5 11
6 5
7 153
8
Common Knowledge: The Challenge of Transdisciplinarity
18
9
Situational Influences in the Choice of Self-Service in a Multi-Channel Retail Context
4
10 21
11
MEASURING PERSONAL SOCIAL SERVICES OUTCOMES: WORKING AGE DISABLED PEOPLE
1
12 1
13
Ethical issues in genetic testing for insurance.
1
14 70
15 58
16 53
17 66
18 20
19
PRIMARY ALDOSTERONISM IN PREGNANCY.
25
20
The use of transplantable human tumors in experimental chemotherapy.
15

About Jennifer Harris

Jennifer Harris is a scholar working on Information Systems and Management, Behavioral Neuroscience and General Psychology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (6 papers), Digital Marketing and Social Media (5 papers) and Education, Achievement, and Giftedness (4 papers). The work is most often cited by research in Marketing (312 citations), Information Systems and Management (207 citations) and Behavioral Neuroscience (97 citations). Jennifer Harris has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Paul G. Patterson, Donna Y. Ford, Milton G. Crane, Denni Arli, Tania Bucic, Cheng Wang, B. Dubrovsky, James M. Schuerger, Andrew S. Yoo and Marta Kamińska. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Business Ethics and Experimental Neurology.

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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