Andrew Allman

682 total citations
24 papers, 531 citations indexed

About

Andrew Allman is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Andrew Allman has authored 24 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 7 papers in Electrical and Electronic Engineering and 5 papers in Computational Theory and Mathematics. Recurrent topics in Andrew Allman's work include Process Optimization and Integration (8 papers), Advanced Control Systems Optimization (5 papers) and Gene Regulatory Network Analysis (4 papers). Andrew Allman is often cited by papers focused on Process Optimization and Integration (8 papers), Advanced Control Systems Optimization (5 papers) and Gene Regulatory Network Analysis (4 papers). Andrew Allman collaborates with scholars based in United States, Poland and Canada. Andrew Allman's co-authors include Pródromos Daoutidis, Matthew J. Palys, Qi Zhang, Wentao Tang, Davood Babaei Pourkargar, Mariano Martı́n, Stephen S. Kelley, Douglas G. Tiffany, Qi Zhang and William A. Arnold and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Renewable Energy.

In The Last Decade

Andrew Allman

23 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Allman United States 13 188 125 103 91 79 24 531
Yuhe Tian United States 12 383 2.0× 41 0.3× 50 0.5× 19 0.2× 52 0.7× 36 613
Joe Howe United Kingdom 9 77 0.4× 23 0.2× 74 0.7× 71 0.8× 35 0.4× 19 409
Ivan Kantor Switzerland 14 214 1.1× 26 0.2× 137 1.3× 42 0.5× 18 0.2× 36 565
Yübo Wang China 11 104 0.6× 25 0.2× 257 2.5× 36 0.4× 32 0.4× 27 558
Berhane H. Gebreslassie United States 15 384 2.0× 33 0.3× 67 0.7× 27 0.3× 36 0.5× 28 1.2k
Iskandar Halim Singapore 15 192 1.0× 40 0.3× 20 0.2× 10 0.1× 29 0.4× 25 418
Chun Hsion Lim Malaysia 16 75 0.4× 14 0.1× 48 0.5× 32 0.4× 29 0.4× 48 677
Elin Svensson Sweden 14 166 0.9× 15 0.1× 80 0.8× 24 0.3× 27 0.3× 59 502
Christian Bramsiepe Germany 15 283 1.5× 21 0.2× 28 0.3× 16 0.2× 81 1.0× 40 640
Miguel Zamarripa United States 11 145 0.8× 10 0.1× 60 0.6× 18 0.2× 42 0.5× 28 360

Countries citing papers authored by Andrew Allman

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Allman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Allman. 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 Andrew Allman. The network helps show where Andrew Allman may publish in the future.

Co-authorship network of co-authors of Andrew Allman

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Allman. A scholar is included among the top collaborators of Andrew Allman 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 Andrew Allman. Andrew Allman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Hongxuan & Andrew Allman. (2025). A Novel Objective Reduction Algorithm for Nonlinear Many-Objective Optimization Problems. 4. 1456–1461. 1 indexed citations
2.
Cooper, E.H. & Andrew Allman. (2025). Learning to Leverage Centralized and Distributed Strategies in Moving Horizon Model Predictive Control. Industrial & Engineering Chemistry Research. 64(39). 19183–19198.
3.
Wang, Hongxuan & Andrew Allman. (2023). Analysis of the correlating or competing nature of cost-driven and emissions-driven demand response. Computers & Chemical Engineering. 181. 108520–108520. 3 indexed citations
4.
Allman, Andrew, et al.. (2023). Analysis of model predictive control in numbered-up modular facilities. SHILAP Revista de lepidopterología. 7. 100088–100088. 1 indexed citations
5.
6.
Allman, Andrew & Qi Zhang. (2022). Distributed fairness-guided optimization for coordinated demand response in multi-stakeholder process networks. Computers & Chemical Engineering. 161. 107777–107777. 6 indexed citations
7.
Allman, Andrew, et al.. (2021). Biomass waste-to-energy supply chain optimization with mobile production modules. Computers & Chemical Engineering. 150. 107326–107326. 42 indexed citations
8.
Allman, Andrew & Qi Zhang. (2021). Branch-and-price for a class of nonconvex mixed-integer nonlinear programs. Journal of Global Optimization. 81(4). 861–880. 9 indexed citations
9.
Allman, Andrew & Qi Zhang. (2020). Dynamic location of modular manufacturing facilities with relocation of individual modules. European Journal of Operational Research. 286(2). 494–507. 41 indexed citations
10.
Allman, Andrew, Pródromos Daoutidis, William A. Arnold, & E. L. Cussler. (2019). Efficient Water Pollution Abatement. Industrial & Engineering Chemistry Research. 58(50). 22483–22487. 8 indexed citations
11.
Allman, Andrew, et al.. (2019). Kinetic model optimization and its application to mitigating the Warburg effect through multiple enzyme alterations. Metabolic Engineering. 56. 154–164. 8 indexed citations
12.
Allman, Andrew & Qi Zhang. (2019). Distributed cooperative industrial demand response. Journal of Process Control. 86. 81–93. 18 indexed citations
13.
Daoutidis, Pródromos, Wentao Tang, & Andrew Allman. (2019). Decomposition of control and optimization problems by network structure: Concepts, methods, and inspirations from biology. AIChE Journal. 65(10). 28 indexed citations
14.
Tang, Wentao, Andrew Allman, Davood Babaei Pourkargar, & Pródromos Daoutidis. (2018). Reprint of: Optimal decomposition for distributed optimization in nonlinear model predictive control through community detection. Computers & Chemical Engineering. 116. 144–155. 1 indexed citations
15.
Palys, Matthew J., Andrew Allman, & Pródromos Daoutidis. (2018). Exploring the Benefits of Modular Renewable-Powered Ammonia Production: A Supply Chain Optimization Study. Industrial & Engineering Chemistry Research. 58(15). 5898–5908. 50 indexed citations
16.
Allman, Andrew, et al.. (2018). Scheduling‐informed optimal design of systems with time‐varying operation: A wind‐powered ammonia case study. AIChE Journal. 65(7). 65 indexed citations
17.
Allman, Andrew & Pródromos Daoutidis. (2017). Optimal scheduling for wind-powered ammonia generation: Effects of key design parameters. Process Safety and Environmental Protection. 131. 5–15. 60 indexed citations
18.
Allman, Andrew, Pródromos Daoutidis, Douglas G. Tiffany, & Stephen S. Kelley. (2017). A framework for ammonia supply chain optimization incorporating conventional and renewable generation. AIChE Journal. 63(10). 4390–4402. 42 indexed citations
19.
Allman, Andrew, et al.. (2016). Building partnerships to scale up conservation: 4R Nutrient Stewardship Certification Program in the Lake Erie watershed. Journal of Great Lakes Research. 42(6). 1395–1402. 37 indexed citations
20.
Allman, Andrew & Pródromos Daoutidis. (2016). Optimal design of synergistic distributed renewable fuel and power systems. Renewable Energy. 100. 78–89. 16 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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Breakdown of academic impact, for papers by Yuhe Tian Breakdown of academic impact, for papers by Joe Howe Breakdown of academic impact, for papers by Ivan Kantor Breakdown of academic impact, for papers by Yübo Wang Breakdown of academic impact, for papers by Berhane H. Gebreslassie Breakdown of academic impact, for papers by Iskandar Halim Breakdown of academic impact, for papers by Chun Hsion Lim Breakdown of academic impact, for papers by Elin Svensson Breakdown of academic impact, for papers by Christian Bramsiepe Breakdown of academic impact, for papers by Miguel Zamarripa
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