Robert A. Ping

3.4k citations
21 papers · 2.8k · 2 hit papers · h-index 14

Impact in

Papers in

Robert A. Ping

20 papers receiving 2.5k citations

Robert A. Ping's Hit Papers

A Parsimonious Estimating Technique for Interaction and Quadratic Latent Variables 1995 · 701 citations
7010+11+22Years since publication200400600

Peers

Robert A. Ping
Comparison fields: 5 of 106
  • Organizational Behavior and Human Resource Management 1.4k
  • Marketing 1.0k
  • Information Systems and Management 487
  • Strategy and Management 785
  • Management Information Systems 248
Replace Eugene Sivadas with:
Eugene Sivadas United States
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C. David Shepherd United States
Ian Lings Australia
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Goutam Challagalla United States
Martin Klarmann Germany
Olivier Furrer Switzerland
Nicholas J. Ashill United Arab Emirates
Daryl McKee United States
Robert A. Ping relative to Eugene Sivadas United States Eugene Sivadas's profile →
Citations per field
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Citations per year

Countries citing papers authored by Robert A. Ping

Since Specialization
Citations

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

Fields of papers citing papers by Robert A. Ping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert A. Ping. 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 Robert A. Ping. The network helps show where Robert A. Ping may publish in the future.

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All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Parsimonious Estimating Technique for Interaction and Quadratic Latent Variables
Hit paper breakdown →
1995701
2
The effects of satisfaction and structural constraints on retailer exiting, voice, loyalty, opportunism, and neglect
Hit paper breakdown →
1993587
3 2003384
4 1996269
5 1995261
6 1994108
7 1997103
8 199983
9 199561
10 199653
11 200352
12 199643
13 200719
14 199618
15 201710
16 19963
17 20143
18
Theoretical Model Testing with Latent Variables
20191
19 20141
20
Latent Variable Interactions and Quadratics
20191

About Robert A. Ping

Robert A. Ping is a scholar working on Organizational Behavior and Human Resource Management, Marketing, Management Science and Operations Research, Computer Networks and Communications and Sociology and Political Science, having authored 21 papers that have together received 2.8k indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (9 papers), Consumer Behavior in Brand Consumption and Identification (5 papers), Psychometric Methodologies and Testing (4 papers), Consumer Retail Behavior Studies (4 papers), Consumer Market Behavior and Pricing (3 papers), Advanced Statistical Methods and Models (2 papers), Bayesian Modeling and Causal Inference (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (1.4k citations), Marketing (1.0k citations), Information Systems and Management (487 citations), Strategy and Management (785 citations) and Management Information Systems (248 citations). Robert A. Ping has collaborated with scholars based in United States. Their work appears in journals such as Journal of Retailing, Journal of Business Research, Journal of Marketing Research, Journal of Personal Selling and Sales Management and Journal of Management.

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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