Frank Acito

1.8k citations
16 papers · 1.3k · h-index 11

Impact in

Papers in

Frank Acito

16 papers receiving 1.1k citations

Peers

Frank Acito
Comparison fields: 5 of 107
  • Organizational Behavior and Human Resource Management 742
  • Marketing 520
  • Information Systems and Management 236
  • Strategy and Management 324
  • Management Information Systems 146
Replace Ben Shaw‐Ching Liu with:
Ben Shaw‐Ching Liu United States
Jason E. Lueg United States
María Fuentes Blasco Spain
Rodolfo Vázquez‐Casielles Spain
J. Sonia Huang Taiwan
Judy K. Frels United States
Russell K.H. Ching United States
Francisco Javier Sesé Spain
Yolanda Polo‐Redondo Spain
Tarun Kushwaha United States
Frank Acito relative to Ben Shaw‐Ching Liu United States Ben Shaw‐Ching Liu's profile →
Citations per field
00.5×1.6×
Ben Shaw‐Ching Liu · 1×
Citations per year

Countries citing papers authored by Frank Acito

Since Specialization
Citations

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

Fields of papers citing papers by Frank Acito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2000837
2 2014104
3 200680
4 199665
5 198752
6 198635
7 200824
8 202323
9 198720
10 198619
11 199714
12 202311
13 20239
14 20234
15 20232
16 20231

About Frank Acito

Frank Acito is a scholar working on Organizational Behavior and Human Resource Management, Statistics and Probability, Management Information Systems, Management Science and Operations Research and Management of Technology and Innovation, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (4 papers), Big Data and Business Intelligence (3 papers), Advanced Statistical Methods and Models (3 papers), Management and Marketing Education (2 papers), Forecasting Techniques and Applications (2 papers), International Business and FDI (1 paper), Economic and Technological Systems Analysis (1 paper) and Statistical Methods and Inference (1 paper). The work is most often cited by research in Organizational Behavior and Human Resource Management (742 citations), Marketing (520 citations), Information Systems and Management (236 citations), Strategy and Management (324 citations) and Management Information Systems (146 citations). Frank Acito has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Thomas W. Gruen, John O. Summers, Vijay Kumar Khatri, Hanjoon Lee, Ronald D. Anderson, Ralph L. Day, Rosann L. Spiro, Daniel C. Smith and Jay D. Lindquist. Their work appears in journals such as Journal of Marketing Research, Business Horizons, Journal of Marketing, Journal of Business Research and Journal of Personal Selling and Sales 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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