Robert Pavur

1.5k citations
78 papers · 971 · h-index 19

Impact in

Papers in

Robert Pavur

72 papers receiving 853 citations

Peers

Robert Pavur
Comparison fields: 5 of 137
  • Statistics and Probability 181
  • Information Systems and Management 99
  • Management Science and Operations Research 119
  • Statistics, Probability and Uncertainty 65
  • Management Information Systems 79
Replace Himabindu Lakkaraju with:
Himabindu Lakkaraju United States
Marc Despontin Belgium
Robert Baumgartner Austria
Enrico Ciavolino Italy
Germán Molina United States
Chi Yuan China
XinYing Chew Malaysia
Rainer Schlittgen Germany
Nitin Indurkhya United States
Dries F. Benoit Belgium
Robert Pavur relative to Himabindu Lakkaraju United States Himabindu Lakkaraju's profile →
Citations per field
00.5×3.6×
Himabindu Lakkaraju · 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 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016128
2 200059
3 200646
4 202038
5
Introduction to business statistics : a computer integrated approach
198937
6 202232
7 199229
8 198829
9 198528
10 200527
11 200925
12 202124
13 202221
14 200521
15 201220
16 201919
17
Concise Managerial Statistics
200519
18 198719
19 201818
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, Artificial Intelligence and Management Information Systems, having authored 78 papers that have together received 971 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (15 papers), Forecasting Techniques and Applications (7 papers), Multi-Criteria Decision Making (6 papers), Technology Adoption and User Behaviour (5 papers), Optimal Experimental Design Methods (5 papers), Fuzzy Systems and Optimization (4 papers), Customer Service Quality and Loyalty (4 papers) and Statistical Distribution Estimation and Applications (4 papers). The work is most often cited by research in Statistics and Probability (181 citations), Information Systems and Management (99 citations), Management Science and Operations Research (119 citations), Statistics, Probability and Uncertainty (65 citations) and Management Information Systems (79 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, Damond Blueitt, Jonathan M. Oliver, James C. Garrison and Stephanie Turner. Their work appears in journals such as Journal of the Operational Research Society, Annals of Operations Research, The American Statistician, Computational Statistics & Data Analysis and International Journal of Production Economics.

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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