Robert J. Graves

3.1k citations
93 papers · 2.2k · h-index 25

Impact in

Papers in

Robert J. Graves

87 papers receiving 2.0k citations

Peers

Robert J. Graves
Comparison fields: 5 of 153
  • Industrial and Manufacturing Engineering 576
  • Management of Technology and Innovation 188
  • Computational Theory and Mathematics 318
  • Management Information Systems 172
  • Biophysics 99
Replace Xionghui Zhou with:
Xionghui Zhou China
Xiao Xue China
Yunqiang Yin China
Juliang Zhang China
Mostafa Karimi Iran
Songsong Liu China
Aaron Kershenbaum United States
Ou Liu China
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Jian Wu China
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Citations per field
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Citations per year

Countries citing papers authored by Robert J. Graves

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Graves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004207
2 2006177
3 2018140
4 1992131
5 1993118
6 1997108
7 200298
8 198964
9 200255
10 199547
11 200643
12 200342
13 200938
14 199435
15 199635
16 199533
17 200533
18 199433
19 200331
20 198730

About Robert J. Graves

Robert J. Graves is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics, Management of Technology and Innovation, Molecular Biology and Computer Networks and Communications, having authored 93 papers that have together received 2.2k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (21 papers), Advanced Manufacturing and Logistics Optimization (21 papers), Manufacturing Process and Optimization (20 papers), Flexible and Reconfigurable Manufacturing Systems (13 papers), Product Development and Customization (11 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Design Education and Practice (7 papers) and Optimization and Packing Problems (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (576 citations), Management of Technology and Innovation (188 citations), Computational Theory and Mathematics (318 citations), Management Information Systems (172 citations) and Biophysics (99 citations). Robert J. Graves has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Arthur C. Sanderson, Xue Feng, Sunderesh S. Heragu, Byung‐In Kim, Jacques Laval, Timothy O’Connor, T. Green, John Mills, Peter Swann and Richard E. DeVor. Their work appears in journals such as International Journal of Production Research, Production Planning & Control, Carcinogenesis, Socio-Economic Planning Sciences and Assay and Drug Development Technologies.

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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