Lexis F. Higgins

496 citations
23 papers · 324 indexed · h-index 9

Lexis F. Higgins

19 papers receiving 274 citations

Peers

Lexis F. Higgins
Comparison fields: 5 of 58
  • Experimental and Cognitive Psychology 109
  • Communication 47
  • Management of Technology and Innovation 44
  • Information Systems and Management 39
  • Management Information Systems 50
Replace S.C. McIntyre with:
S.C. McIntyre United States
Nolan J. Taylor United States
Murli Nagasundaram United States
Jacqueline N. Lane United States
Annita Fjuk Norway
Horst Geschka Germany
Xiaoning Liang Ireland
Richard B. Dull United States
Alexander Benedikt Merz Austria
Martin L. Bariff United States
Lexis F. Higgins relative to S.C. McIntyre United States S.C. McIntyre's profile →
Citations per field
00.5×1.6×
S.C. McIntyre · 1×
Citations per year

Countries citing papers authored by Lexis F. Higgins

Since Specialization
Citations

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

Fields of papers citing papers by Lexis F. Higgins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lexis F. Higgins. 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 Lexis F. Higgins. The network helps show where Lexis F. Higgins may publish in the future.

Co-authorship network

The 9 scholars most cited alongside Lexis F. Higgins, 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 Lexis F. Higgins Line = papers co-authored together Lexis F. Higgins links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20031
2 20022
3 20021
4 200210
5 20021
6 20020
7 200223
8 20022
9 199917
10 19981
11 19967
12 19954
13 1993155
14 19936
15 199228
16 199111
17 199110
18 19903
19 198911
20 198818

About Lexis F. Higgins

Lexis F. Higgins is a scholar working on Marketing, Software and Organizational Behavior and Human Resource Management, having authored 23 papers that have together received 324 indexed citations. Recurring topics across this work include Team Dynamics and Performance (6 papers), Creativity in Education and Neuroscience (6 papers), Customer Service Quality and Loyalty (4 papers), Knowledge Management and Sharing (3 papers), Design Education and Practice (3 papers), Innovation and Knowledge Management (3 papers), Product Development and Customization (2 papers) and Model-Driven Software Engineering Techniques (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (109 citations), Communication (47 citations) and Management of Technology and Innovation (44 citations). Lexis F. Higgins has collaborated with scholars based in United States and Finland. Frequent co-authors include J. Daniel Couger, S.C. McIntyre, Jeffery M. Ferguson, Sara Honn Qualls, William C. Miller, Charles M. Judd, Justin Richer, Mikko Ruohonen and Richard Discenza. Their work appears in journals such as MIS Quarterly, Industrial Marketing Management and Journal of Management Information Systems.

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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