Robert G. Batson

45 papers receiving 544 citations

Peers

Robert G. Batson
Comparison fields: 5 of 106
  • Statistics, Probability and Uncertainty 74
  • Management Science and Operations Research 113
  • Industrial and Manufacturing Engineering 94
  • Management Information Systems 72
  • Medical Laboratory Technology 7
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Citations per year

Countries citing papers authored by Robert G. Batson

Since Specialization
Citations

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

Fields of papers citing papers by Robert G. Batson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Robert G. Batson, 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 G. Batson Line = papers co-authored together Robert G. Batson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Applied Integer Programming: Modeling and Solution
2010190
2 200992
3 197254
4 200533
5 200720
6 200918
7 200114
8 200813
9 198712
10 202112
11 198712
12 198911
13 20019
14
Impact of MAINTENANCE FUNCTION on Plant Safety
20009
15 19889
16 20067
17
Work Zone Lane Closure Analysis Model
20097
18 19876
19 20066
20 20105

About Robert G. Batson

Robert G. Batson is a scholar working on Statistics, Probability and Uncertainty, Management Information Systems, Industrial and Manufacturing Engineering, Safety, Risk, Reliability and Quality and Management Science and Operations Research, having authored 48 papers that have together received 591 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (6 papers), Advanced Statistical Process Monitoring (6 papers), Quality and Management Systems (6 papers), Quality and Supply Management (6 papers), Occupational Health and Safety Research (5 papers), Technology Assessment and Management (5 papers), Risk and Safety Analysis (5 papers) and Systems Engineering Methodologies and Applications (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (74 citations), Management Science and Operations Research (113 citations), Industrial and Manufacturing Engineering (94 citations), Management Information Systems (72 citations) and Medical Laboratory Technology (7 citations). Robert G. Batson has collaborated with scholars based in United States and Jordan. Frequent co-authors include Der‐San Chen, Yu Dang, Warren Breed, Paul Ray, Daniel J. Fonseca, Gary P. Moynihan, Robert Matthew Love, William H. Woodall, Joe H. Sullivan and W. Garrett Nichols. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Electronic Government an International Journal, Journal of Quality Technology, International Journal of Automotive Technology and Management and IEEE Transactions on Engineering 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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