Robert M. Oliver

89 papers receiving 1.7k citations

Peers

Robert M. Oliver
Comparison fields: 5 of 159
  • Biochemistry 429
  • Clinical Biochemistry 294
  • General Decision Sciences 46
  • Management Science and Operations Research 281
  • Statistics, Probability and Uncertainty 75
Replace Joon‐Young Park with:
Joon‐Young Park United States
Tieli Wang China
James E. Stafford Canada
George Stephanopoulos United States
Jianmin Jia China
Chris J. Lloyd Australia
Rob van der Heijden Netherlands
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Citations per year

Countries citing papers authored by Robert M. Oliver

Since Specialization
Citations

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

Fields of papers citing papers by Robert M. Oliver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996164
2 1991160
3 1979106
4 197870
5 197768
6 197966
7 197564
8 198258
9 197151
10 196750
11 200947
12 199144
13 196641
14 199539
15 197937
16 197336
17 197336
18 198231
19 197231
20 198129

About Robert M. Oliver

Robert M. Oliver is a scholar working on Management Science and Operations Research, Molecular Biology, Biochemistry, Economics and Econometrics and Materials Chemistry, having authored 91 papers that have together received 1.9k indexed citations. Recurring topics across this work include Biochemical Acid Research Studies (11 papers), Forecasting Techniques and Applications (8 papers), Enzyme Structure and Function (8 papers), Transportation Planning and Optimization (6 papers), Metabolism and Genetic Disorders (6 papers), Advanced Queuing Theory Analysis (5 papers), Insurance and Financial Risk Management (4 papers) and Traffic control and management (4 papers). The work is most often cited by research in Biochemistry (429 citations), Clinical Biochemistry (294 citations), General Decision Sciences (46 citations), Management Science and Operations Research (281 citations) and Statistics, Probability and Uncertainty (75 citations). Robert M. Oliver has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Lester J. Reed, James Q. Smith, Paul Goodwin, Marvin L. Hackert, Robert F. Nau, Peter Munk, James K Stoops, Naif S. Karadsheh, Michael J. Arslanian and K. Uyeda. Their work appears in journals such as Journal of the Operational Research Society, Operations Research, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and Journal of Forecasting.

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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