Robert Pavur

1.5k citations
87 papers · 1.1k · h-index 19

Impact in

Papers in

Robert Pavur

79 papers receiving 955 citations

Peers

Robert Pavur
Comparison fields: 5 of 140
  • Statistics and Probability 180
  • Information Systems and Management 112
  • Management Science and Operations Research 136
  • Management Information Systems 89
  • Statistics, Probability and Uncertainty 66
Replace XinYing Chew with:
XinYing Chew Malaysia
Dries F. Benoit Belgium
Mark L. Berenson United States
J. Douglas Barrett United States
Khai Wah Khaw Malaysia
Chien-wen Shen Taiwan
Germán Molina United States
Rainer Göb Germany
Robert L. Armacost United States
Robert Pavur relative to XinYing Chew Malaysia XinYing Chew's profile →
Citations per field
00.5×2×4×6×8×9.3×
XinYing Chew · 1×
Citations per year

Countries citing papers authored by Robert Pavur

Since Specialization
Citations

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

Fields of papers citing papers by Robert Pavur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Pavur, 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 Robert Pavur Line = papers co-authored together Robert Pavur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016140
2 200069
3 200648
4 202244
5
Introduction to business statistics : a computer integrated approach
198938
6 202038
7 198531
8 200529
9 199229
10 198829
11 200928
12 202126
13 201823
14 201922
15 202222
16 200521
17 201220
18
Concise Managerial Statistics
200520
19 198719
20 198718

About Robert Pavur

Robert Pavur is a scholar working on Management Science and Operations Research, Statistics and Probability, Organizational Behavior and Human Resource Management, Sociology and Political Science and Artificial Intelligence, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (16 papers), Forecasting Techniques and Applications (10 papers), Technology Adoption and User Behaviour (6 papers), Multi-Criteria Decision Making (6 papers), Advanced Statistical Process Monitoring (6 papers), Optimal Experimental Design Methods (5 papers), Customer Service Quality and Loyalty (5 papers) and Statistical Distribution Estimation and Applications (4 papers). The work is most often cited by research in Statistics and Probability (180 citations), Information Systems and Management (112 citations), Management Science and Operations Research (136 citations), Management Information Systems (89 citations) and Statistics, Probability and Uncertainty (66 citations). Robert Pavur has collaborated with scholars based in United States, Australia and Mexico. Frequent co-authors include Kellie B. Keeling, Alan H. Kvanli, Xiaoni Zhang, Ravinder Nath, Victor R. Prybutok, Rick L. Edgeman, James C. Garrison, Jonathan M. Oliver, Stephanie Turner and Damond Blueitt. Their work appears in journals such as Journal of the Operational Research Society, Annals of Operations Research, The American Statistician, Canadian Journal of Statistics and Computational Statistics & Data Analysis.

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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