R.J. Allgor

617 total citations
12 papers, 426 citations indexed

About

R.J. Allgor is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Management Information Systems. According to data from OpenAlex, R.J. Allgor has authored 12 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Control and Systems Engineering, 5 papers in Industrial and Manufacturing Engineering and 3 papers in Management Information Systems. Recurrent topics in R.J. Allgor's work include Advanced Control Systems Optimization (7 papers), Process Optimization and Integration (6 papers) and Supply Chain and Inventory Management (3 papers). R.J. Allgor is often cited by papers focused on Advanced Control Systems Optimization (7 papers), Process Optimization and Integration (6 papers) and Supply Chain and Inventory Management (3 papers). R.J. Allgor collaborates with scholars based in United States and Germany. R.J. Allgor's co-authors include Paul I. Barton, Stephen C. Graves, Ping Xu, Edward P. Gatzke, William F. Feehery, Lawrence B. Evans and Wolfgang Marquardt and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Chemical Engineering Science and Mathematical Programming.

In The Last Decade

R.J. Allgor

12 papers receiving 404 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R.J. Allgor United States 8 253 86 77 75 51 12 426
Pedro M. Mateo Spain 10 101 0.4× 67 0.8× 28 0.4× 26 0.3× 93 1.8× 27 336
Andreas Lundell Finland 9 239 0.9× 53 0.6× 11 0.1× 186 2.5× 112 2.2× 18 432
Francisco Trespalacios United States 8 322 1.3× 74 0.9× 20 0.3× 107 1.4× 74 1.5× 15 450
J. Rajesh India 8 223 0.9× 47 0.5× 12 0.2× 32 0.4× 121 2.4× 14 506
Andrés Gómez United States 10 46 0.2× 42 0.5× 18 0.2× 64 0.9× 45 0.9× 34 285
Heeman Lee South Korea 4 258 1.0× 57 0.7× 24 0.3× 17 0.2× 24 0.5× 9 344
Justin Katz United States 11 297 1.2× 18 0.2× 9 0.1× 13 0.2× 48 0.9× 21 406
Bikram Sharda United States 9 51 0.2× 121 1.4× 73 0.9× 4 0.1× 37 0.7× 21 316
Vassilis M. Charitopoulos United Kingdom 10 155 0.6× 44 0.5× 11 0.1× 25 0.3× 22 0.4× 32 277
Shalini Arora India 11 244 1.0× 64 0.7× 18 0.2× 41 0.5× 99 1.9× 45 348

Countries citing papers authored by R.J. Allgor

Since Specialization
Citations

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

Fields of papers citing papers by R.J. Allgor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R.J. Allgor

This figure shows the co-authorship network connecting the top 25 collaborators of R.J. Allgor. A scholar is included among the top collaborators of R.J. Allgor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R.J. Allgor. R.J. Allgor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Allgor, R.J., et al.. (2023). Algorithm for Robotic Picking in Amazon Fulfillment Centers Enables Humans and Robots to Work Together Effectively. RePEc: Research Papers in Economics. 53(4). 266–282. 14 indexed citations
2.
Xu, Ping, R.J. Allgor, & Stephen C. Graves. (2008). Benefits of Reevaluating Real-Time Order Fulfillment Decisions. Manufacturing & Service Operations Management. 11(2). 340–355. 102 indexed citations
3.
Xu, Ping, R.J. Allgor, & Stephen C. Graves. (2005). The Benefits of Re-Evaluating Real-Time Fulfillment Decisions. DSpace@MIT (Massachusetts Institute of Technology). 3 indexed citations
4.
Allgor, R.J., et al.. (2004). Outer approximation algorithms for separable nonconvex mixed-integer nonlinear programs. Mathematical Programming. 100(3). 88 indexed citations
5.
Allgor, R.J., Stephen C. Graves, & Ping Xu. (2004). Traditional Inventory Models in an E-Retailing Setting: A Two-Stage Serial System with Space Constraints. DSpace@MIT (Massachusetts Institute of Technology). 5 indexed citations
6.
Marquardt, Wolfgang, et al.. (2000). Integrated conceptual design of stirred tank reactors by periodic dynamic optimization. Computers & Chemical Engineering. 24(2-7). 975–981. 2 indexed citations
7.
Allgor, R.J. & Paul I. Barton. (1999). Mixed-integer dynamic optimization I: problem formulation. Computers & Chemical Engineering. 23(4-5). 567–584. 59 indexed citations
8.
Allgor, R.J. & Paul I. Barton. (1999). Screening models for batch process development: Part II. Case studies. Chemical Engineering Science. 54(18). 4065–4087. 3 indexed citations
9.
Allgor, R.J., Lawrence B. Evans, & Paul I. Barton. (1999). Screening models for batch process development. Chemical Engineering Science. 54(19). 4145–4164. 13 indexed citations
10.
Barton, Paul I., et al.. (1998). Dynamic Optimization in a Discontinuous World. Industrial & Engineering Chemistry Research. 37(3). 966–981. 88 indexed citations
11.
Allgor, R.J. & Paul I. Barton. (1997). Mixed-integer dynamic optimization. Computers & Chemical Engineering. 21. S451–S456. 27 indexed citations
12.
Allgor, R.J., et al.. (1996). Optimal batch process development. Computers & Chemical Engineering. 20(6-7). 885–896. 22 indexed citations

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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