Warren D. Seider

6.0k total citations · 1 hit paper
134 papers, 4.2k citations indexed

About

Warren D. Seider is a scholar working on Control and Systems Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Warren D. Seider has authored 134 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Control and Systems Engineering, 26 papers in Materials Chemistry and 23 papers in Biomedical Engineering. Recurrent topics in Warren D. Seider's work include Process Optimization and Integration (47 papers), Advanced Control Systems Optimization (45 papers) and Fault Detection and Control Systems (31 papers). Warren D. Seider is often cited by papers focused on Process Optimization and Integration (47 papers), Advanced Control Systems Optimization (45 papers) and Fault Detection and Control Systems (31 papers). Warren D. Seider collaborates with scholars based in United States, United Kingdom and Israel. Warren D. Seider's co-authors include Soemantri Widagdo, J. D. Seader, Daniel R. Lewin, Rajeev K. Gautam, Anjana Meel, Ulku Oktem, James R. Phimister, Masoud Soroush, Amy Cha-Tien Sun and Thomas A. Adams and has published in prestigious journals such as The Journal of Chemical Physics, Physical Review B and Chemical Engineering Journal.

In The Last Decade

Warren D. Seider

126 papers receiving 4.0k citations

Hit Papers

Product and Process Design Principles: Synthesis, Analysi... 2016 2026 2019 2022 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Warren D. Seider United States 31 2.3k 1.2k 781 587 457 134 4.2k
Masoud Soroush United States 45 2.1k 0.9× 1.5k 1.3× 956 1.2× 2.5k 4.2× 243 0.5× 221 6.9k
Ernest J. Henley United States 20 877 0.4× 717 0.6× 639 0.8× 332 0.6× 464 1.0× 70 3.0k
Gürkan Sin Denmark 38 1.3k 0.6× 1.3k 1.1× 591 0.8× 459 0.8× 280 0.6× 244 5.8k
Il Moon South Korea 41 707 0.3× 971 0.8× 2.2k 2.8× 847 1.4× 416 0.9× 211 6.0k
José Carlos Pinto Brazil 42 1.2k 0.5× 1.6k 1.4× 919 1.2× 1.2k 2.0× 209 0.5× 396 6.9k
Gade Pandu Rangaiah Singapore 46 3.5k 1.5× 1.3k 1.0× 1.4k 1.7× 604 1.0× 120 0.3× 232 6.2k
David Shan‐Hill Wong Taiwan 39 1.6k 0.7× 2.0k 1.7× 1.4k 1.7× 657 1.1× 191 0.4× 199 5.6k
Raghunathan Rengaswamy United States 40 6.6k 2.8× 431 0.4× 2.4k 3.1× 516 0.9× 1.4k 3.0× 190 8.6k
Sandro Macchietto United Kingdom 34 1.9k 0.8× 692 0.6× 511 0.7× 384 0.7× 278 0.6× 129 3.9k
Jie Zhang United Kingdom 45 3.4k 1.4× 854 0.7× 2.1k 2.6× 613 1.0× 326 0.7× 504 7.9k

Countries citing papers authored by Warren D. Seider

Since Specialization
Citations

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

Fields of papers citing papers by Warren D. Seider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Warren D. Seider. 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 Warren D. Seider. The network helps show where Warren D. Seider may publish in the future.

Co-authorship network of co-authors of Warren D. Seider

This figure shows the co-authorship network connecting the top 25 collaborators of Warren D. Seider. A scholar is included among the top collaborators of Warren D. Seider 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 Warren D. Seider. Warren D. Seider 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.
Seider, Warren D., et al.. (2025). Artificial Intelligence‐Empowered Automated Double Emulsion Droplet Library Generation. Small. 21(18). e2412099–e2412099.
2.
Seider, Warren D., et al.. (2024). Path-Sampling and Machine Learning for Rare Abnormal Events: Application to Polymerization CSTRs. Chemical Engineering Science. 300. 120513–120513. 3 indexed citations
3.
Seider, Warren D., et al.. (2024). Convolutional neural network augmented soft-sensor for autonomous microfluidic production of uniform bubbles. Chemical Engineering Journal. 499. 156494–156494. 5 indexed citations
4.
O’Connell, John P., et al.. (2024). Thermoeconomic analysis of sCO2 power cycles. AIChE Journal. 70(9).
5.
Seider, Warren D., et al.. (2024). Advancing machine learning in Industry 4.0: Benchmark framework for rare-event prediction in chemical processes. Computers & Chemical Engineering. 194. 108929–108929. 3 indexed citations
6.
Seider, Warren D., et al.. (2021). Distributed state estimation in large-scale processes decomposed into observable subsystems using community detection. Computers & Chemical Engineering. 156. 107544–107544. 8 indexed citations
7.
Yadav, Geetanjali, et al.. (2019). Supercritical CO2 Transesterification of Triolein to Methyl-Oleate in a Batch Reactor: Experimental and Simulation Results. Processes. 7(1). 16–16. 7 indexed citations
8.
Seider, Warren D., et al.. (2017). Understanding rare safety and reliability events using transition path sampling. Computers & Chemical Engineering. 108. 74–88. 7 indexed citations
9.
Liu, Xiao, Warren D. Seider, & Talid Sinno. (2012). Coarse-grained lattice Monte Carlo simulations with continuous interaction potentials. Physical Review E. 86(2). 26708–26708. 3 indexed citations
10.
Seider, Warren D., et al.. (2011). Helical and Lemniscate Tubular Reactors. Industrial & Engineering Chemistry Research. 50(15). 8842–8850. 10 indexed citations
11.
Adams, Thomas A. & Warren D. Seider. (2008). Semicontinuous reactive extraction and reactive distillation. Process Safety and Environmental Protection. 87(3). 245–262. 21 indexed citations
12.
Panjapornpon, Chanin, Masoud Soroush, & Warren D. Seider. (2007). Differential-geometric model-based control (DGMBC): A software package for controller design. Computers & Chemical Engineering. 32(7). 1569–1588. 1 indexed citations
13.
Zheng, Xuesong, Xiao Feng, Renjie Shen, & Warren D. Seider. (2005). Design of Optimal Water-Using Networks with Internal Water Mains. Industrial & Engineering Chemistry Research. 45(25). 8413–8420. 22 indexed citations
14.
Banga, Julio R., et al.. (1998). Stochastic optimization for optimal and model-predictive control. Computers & Chemical Engineering. 22(4-5). 603–612. 49 indexed citations
15.
Seider, Warren D., et al.. (1989). Effect of retrograde solubility on the design optimization of supercritical extraction processes. Industrial & Engineering Chemistry Research. 28(10). 1497–1503. 6 indexed citations
16.
Widagdo, Soemantri, Warren D. Seider, & Donald H. Sebastian. (1989). Bifurcation analysis in heterogeneous azeotropic distillation. AIChE Journal. 35(9). 1457–1464. 28 indexed citations
17.
White, Charles, et al.. (1985). Computation of phase equilibrium: Optimization with thermodynamic inconsistency. AIChE Journal. 31(2). 316–321. 11 indexed citations
18.
Seider, Warren D.. (1985). Model and algorithm synthesis in process analysis and design. Computers & Chemical Engineering. 9(5). 417–417. 3 indexed citations
19.
Seider, Warren D., et al.. (1983). Dynamic simulation of azeotropic distillation towers. AIChE Journal. 29(6). 1017–1029. 36 indexed citations
20.
Myers, Alan L. & Warren D. Seider. (1976). Introduction to chemical engineering and computer calculations. Prentice Hall eBooks. 15 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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