John D’Ambra

64 papers receiving 2.2k citations

Peers

John D’Ambra
Comparison fields: 5 of 111
  • Information Systems and Management 893
  • Communication 375
  • Organizational Behavior and Human Resource Management 462
  • Marketing 348
  • Management Information Systems 248
Replace Said S. Al‐Gahtani with:
Said S. Al‐Gahtani Saudi Arabia
Abhijit Gopal Canada
Wei‐Tsong Wang Taiwan
Felix B. Tan New Zealand
Cynthia K. Riemenschneider United States
Jaeki Song United States
Craig Van Slyke United States
Wen‐Lung Shiau Taiwan
Babita Gupta United States
Sedigheh Moghavvemi Malaysia
John D’Ambra relative to Said S. Al‐Gahtani Saudi Arabia Said S. Al‐Gahtani's profile →
Citations per field
00.5×1.5×
Said S. Al‐Gahtani · 1×
Citations per year

Countries citing papers authored by John D’Ambra

Since Specialization
Citations

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

Fields of papers citing papers by John D’Ambra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D’Ambra. 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 John D’Ambra. The network helps show where John D’Ambra may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010324
2 2013221
3 2010171
4 2001147
5 2012145
6 2012127
7 2012111
8 199885
9 199872
10 200466
11 200466
12 201263
13 201259
14 201157
15 200949
16 201648
17 200245
18 201744
19 200242
20 202239

About John D’Ambra

John D’Ambra is a scholar working on Information Systems and Management, Communication, Organizational Behavior and Human Resource Management, Sociology and Political Science and Social Psychology, having authored 70 papers that have together received 2.4k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (33 papers), Digital Marketing and Social Media (26 papers), Knowledge Management and Sharing (21 papers), Customer Service Quality and Loyalty (13 papers), Team Dynamics and Performance (7 papers), Online and Blended Learning (5 papers), Innovative Teaching and Learning Methods (5 papers) and Cognitive and psychological constructs research (4 papers). The work is most often cited by research in Information Systems and Management (893 citations), Communication (375 citations), Organizational Behavior and Human Resource Management (462 citations), Marketing (348 citations) and Management Information Systems (248 citations). John D’Ambra has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Shahriar Akter, PRADEEP KUMAR RAY, Ronald E. Rice, Shahla Ghobadi, Concepción Shimizu Wilson, Zixiu Guo, Babak Abedin, Farhad Daneshgar, Lin Xiao and Marcus J. O’Connor. Their work appears in journals such as Journal of the Association for Information Systems, Information & Management, IEEE Transactions on Professional Communication, Behaviour and Information Technology and Electronic Markets.

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