Mark A. Moon

1.0k citations
18 papers · 684 · h-index 11

Impact in

Papers in

Mark A. Moon

18 papers receiving 608 citations

Peers

Mark A. Moon
Comparison fields: 5 of 65
  • Management Information Systems 310
  • Organizational Behavior and Human Resource Management 196
  • Strategy and Management 253
  • Marketing 142
  • Management Science and Operations Research 179
Replace Joel D. Goldhar with:
Joel D. Goldhar United States
Oya I. Tukel United States
Neng‐Pai Lin Taiwan
Frank W. Dewhurst United Kingdom
Bo van der Rhee Netherlands
Gioconda Quesada United States
Charles R. O’Neal United States
Elmar Kutsch United Kingdom
Eberhard E. Scheuing United States
Mark A. Moon relative to Joel D. Goldhar United States Joel D. Goldhar's profile →
Citations per field
00.5×4.2×
Joel D. Goldhar · 1×
Citations per year

Countries citing papers authored by Mark A. Moon

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Mark A. Moon, 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 Mark A. Moon Line = papers co-authored together Mark A. Moon links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2009239
2 1994102
3 200576
4 200366
5 199738
6 200731
7 200026
8 199822
9 199913
10 201013
11 199811
12
The Need for a Forecasting Champion
19979
13
Improving Salesforce Forecasting
19999
14 20039
15 19977
16 19986
17 20186
18 20111

About Mark A. Moon

Mark A. Moon is a scholar working on Management Information Systems, Management Science and Operations Research, Marketing, Management of Technology and Innovation and Organizational Behavior and Human Resource Management, having authored 18 papers that have together received 684 indexed citations. Recurring topics across this work include Forecasting Techniques and Applications (7 papers), Big Data and Business Intelligence (5 papers), Customer Service Quality and Loyalty (4 papers), Management and Marketing Education (4 papers), Advanced Statistical Process Monitoring (3 papers), Quality and Supply Management (2 papers), Reservoir Engineering and Simulation Methods (2 papers) and Marketing and Advertising Strategies (2 papers). The work is most often cited by research in Management Information Systems (310 citations), Organizational Behavior and Human Resource Management (196 citations), Strategy and Management (253 citations), Marketing (142 citations) and Management Science and Operations Research (179 citations). Mark A. Moon has collaborated with scholars based in United States, Kuwait and China. Frequent co-authors include John T. Mentzer, Gary Armstrong, Alexander E. Ellinger, Terry L. Esper, Theodore P. Stank, Daniel J. Flint, Carlo D. Smith, Susan Forquer Gupta, Leff Bonney and Michael Scott Garver. Their work appears in journals such as International Journal of Forecasting, Industrial Marketing Management, Journal of Personal Selling and Sales Management, Journal of the Academy of Marketing Science and Business Horizons.

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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