Jeffrey J. Risher

27.3k citations
5 papers · 18.7k · 2 hit papers · h-index 5

Impact in

Papers in

Jeffrey J. Risher

5 papers receiving 18.1k citations

Jeffrey J. Risher's Hit Papers

PLS‐SEM : Prediction‐oriented solutions for HRD researchers 2021 · 228 citations
2280+2+5Years since publication5k10k15k

Peers

Jeffrey J. Risher
Comparison fields: 5 of 166
  • Marketing 3k
  • Information Systems and Management 2.9k
  • Organizational Behavior and Human Resource Management 2.9k
  • Management of Technology and Innovation 1.2k
  • Strategy and Management 2.4k
Replace Ned Kock with:
Ned Kock United States
Thurasamy Ramayah Malaysia
Jun‐Hwa Cheah Malaysia
Rudolf R. Sinkovics United Kingdom
William C. Black United States
John S. Hulland United States
Martin G. M. Wetzels Netherlands
Rolph E. Anderson United States
Volker G. Kuppelwieser France
Naresh K. Malhotra United States
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Citations per field
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Citations per year

Countries citing papers authored by Jeffrey J. Risher

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey J. Risher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey J. Risher. 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 Jeffrey J. Risher. The network helps show where Jeffrey J. Risher may publish in the future.

Co-authors

The 6 scholars most cited alongside Jeffrey J. Risher, 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 Jeffrey J. Risher Line = papers co-authored together Jeffrey J. Risher links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
When to use and how to report the results of PLS-SEM
Hit paper breakdown →
201818365
2
PLS‐SEM : Prediction‐oriented solutions for HRD researchers
Hit paper breakdown →
2021228
3 201853
4 202024
5 20227

About Jeffrey J. Risher

Jeffrey J. Risher is a scholar working on Management Science and Operations Research, Management of Technology and Innovation, Marketing, Information Systems and Management and Management Information Systems, having authored 5 papers that have together received 18.7k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (2 papers), Consumer Behavior and Market Dynamics (1 paper), Statistical Methods and Applications (1 paper), Advanced Statistical Methods and Models (1 paper), Digital Marketing and Social Media (1 paper), Big Data and Business Intelligence (1 paper), Management and Marketing Education (1 paper) and Big Data Technologies and Applications (1 paper). The work is most often cited by research in Marketing (3k citations), Information Systems and Management (2.9k citations), Organizational Behavior and Human Resource Management (2.9k citations), Management of Technology and Innovation (1.2k citations) and Strategy and Management (2.4k citations). Jeffrey J. Risher has collaborated with scholars based in United States, Germany and New Zealand. Frequent co-authors include Joseph Hair Jr., Marko Sarstedt, Christian M. Ringle, Amanda E. Legate, Dana E. Harrison and Stephen A. LeMay. Their work appears in journals such as The Journal of Marketing Theory and Practice, Human Resource Development Quarterly, European Business Review and ReMark - Revista Brasileira de Marketing.

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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