Urmila M. Diwekar

6.0k total citations
193 papers, 4.1k citations indexed

About

Urmila M. Diwekar is a scholar working on Control and Systems Engineering, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Urmila M. Diwekar has authored 193 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Control and Systems Engineering, 22 papers in Mechanical Engineering and 22 papers in Materials Chemistry. Recurrent topics in Urmila M. Diwekar's work include Process Optimization and Integration (79 papers), Advanced Control Systems Optimization (52 papers) and Advanced Multi-Objective Optimization Algorithms (17 papers). Urmila M. Diwekar is often cited by papers focused on Process Optimization and Integration (79 papers), Advanced Control Systems Optimization (52 papers) and Advanced Multi-Objective Optimization Algorithms (17 papers). Urmila M. Diwekar collaborates with scholars based in United States, Russia and India. Urmila M. Diwekar's co-authors include Jayant Kalagnanam, Yogendra Shastri, Edward S. Rubin, Pahola Thathiana Benavides, Yan Fu, Vicente Rico-Ramı́rez, K.P. Madhavan, Rajib Mukherjee, Berhane H. Gebreslassie and Heriberto Cabezas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Urmila M. Diwekar

186 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Urmila M. Diwekar United States 35 1.7k 675 663 548 419 193 4.1k
Ví­ctor M. Zavala United States 38 2.4k 1.4× 443 0.7× 537 0.8× 471 0.9× 343 0.8× 218 6.3k
Sandro Macchietto United Kingdom 34 1.9k 1.2× 499 0.7× 511 0.8× 692 1.3× 384 0.9× 129 3.9k
Gürkan Sin Denmark 38 1.3k 0.8× 274 0.4× 591 0.9× 1.3k 2.3× 459 1.1× 244 5.8k
Gintaras V. Reklaitis United States 38 2.4k 1.4× 276 0.4× 491 0.7× 522 1.0× 255 0.6× 206 4.7k
Iftekhar A. Karimi Singapore 51 3.1k 1.8× 510 0.8× 2.4k 3.6× 1.1k 2.1× 611 1.5× 262 8.9k
Gade Pandu Rangaiah Singapore 46 3.5k 2.1× 870 1.3× 1.4k 2.1× 1.3k 2.3× 604 1.4× 232 6.2k
Fani Boukouvala United States 25 799 0.5× 468 0.7× 689 1.0× 240 0.4× 155 0.4× 50 2.2k
Qunxiong Zhu China 34 2.1k 1.3× 236 0.3× 862 1.3× 234 0.4× 124 0.3× 242 4.2k
Xiaojun Zhou China 38 856 0.5× 263 0.4× 432 0.7× 212 0.4× 218 0.5× 279 4.8k
Alexander Mitsos Germany 45 2.1k 1.2× 745 1.1× 1.7k 2.6× 1.3k 2.4× 1.0k 2.5× 311 7.2k

Countries citing papers authored by Urmila M. Diwekar

Since Specialization
Citations

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

Fields of papers citing papers by Urmila M. Diwekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Urmila M. Diwekar

This figure shows the co-authorship network connecting the top 25 collaborators of Urmila M. Diwekar. A scholar is included among the top collaborators of Urmila M. Diwekar 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 Urmila M. Diwekar. Urmila M. Diwekar 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.
Diwekar, Urmila M., et al.. (2024). Group contribution method for rapid estimation of crystal growth rates. Process Safety and Environmental Protection. 203. 140–148. 4 indexed citations
2.
3.
Diwekar, Urmila M., et al.. (2023). An Efficient Reinforcement Learning Approach to Optimal Control with Application to Biodiesel Production. Computers & Chemical Engineering. 174. 108258–108258. 8 indexed citations
4.
Diwekar, Urmila M., et al.. (2023). IVF STIMULATION OPTIMIZED, PERSONALIZED, AND SIMPLIFIED USING AN ADVANCED DECISION-SUPPORT TOOL. Fertility and Sterility. 120(4). e205–e206.
5.
Diwekar, Urmila M., et al.. (2023). #282 : Maximizing IVF Success Rates: Optimized Simulation Using a Novel Decision-Support Tool. SHILAP Revista de lepidopterología. 5(4). 375–375.
6.
Mukherjee, Rajib, et al.. (2023). Multi-objective optimization for inherently selective atomic layer deposition of zirconia on silicon and not on copper. Process Safety and Environmental Protection. 196. 483–494. 2 indexed citations
7.
Shahmohammadi, Mina, Rajib Mukherjee, Cortino Sukotjo, Urmila M. Diwekar, & Christos G. Takoudis. (2022). Recent Advances in Theoretical Development of Thermal Atomic Layer Deposition: A Review. Nanomaterials. 12(5). 831–831. 37 indexed citations
8.
Shahmohammadi, Mina, Rajib Mukherjee, Christos G. Takoudis, & Urmila M. Diwekar. (2021). Optimal design of novel precursor materials for the atomic layer deposition using computer-aided molecular design. Chemical Engineering Science. 234. 116416–116416. 13 indexed citations
9.
Diwekar, Urmila M., et al.. (2019). Missing Components in Multicomponent Batch Distillation and Optimal Control. Industrial & Engineering Chemistry Research. 58(37). 17455–17461. 3 indexed citations
10.
Shastri, Yogendra, Urmila M. Diwekar, & Stephen E. Zitney. (2008). Uncertainty analysis of an Igcc system with single-stage entrained-flow gasifier. 1 indexed citations
11.
Diwekar, Urmila M., et al.. (2006). Role of sampling in process design, optimization and control. 3 indexed citations
12.
Diwekar, Urmila M., et al.. (2006). Optimal control of diabetes mellitus under time dependent uncertainties. 1 indexed citations
13.
Diwekar, Urmila M., et al.. (2006). Efficient molecular simulations for environmentally benign processes. Molecular Simulation. 32(3-4). 315–329. 2 indexed citations
14.
Shastri, Yogendra & Urmila M. Diwekar. (2005). Optimal sensor placement for water distribution network security. 6713–6736. 1 indexed citations
15.
Diwekar, Urmila M., et al.. (2004). Integrated framework for fuel cell based auxiliary power units: From fuel processing and system performance, to health, ecological impacts and life cycle analysis. 497–504. 1 indexed citations
16.
Diwekar, Urmila M., et al.. (2004). GREENER SOLVENT SELECTION, SOLVENT RECYCLING AND OPTIMAL CONTROL FOR PHARMACEUTICAL AND BIO-PROCESSING INDUSTRIES. 1 indexed citations
17.
Diwekar, Urmila M., et al.. (2004). Multi-objective trade-offs for fuel cell-based auxiliary power units: case study of South California Air Basin. Journal of Power Sources. 139(1-2). 197–204. 15 indexed citations
18.
Diwekar, Urmila M., et al.. (2004). Thermodynamic uncertainties in batch processing and optimal control. Computers & Chemical Engineering. 28(11). 2245–2258. 20 indexed citations
19.
Diwekar, Urmila M. & Mitchell J. Small. (1998). Industrial Ecology and Process Optimization. Journal of Industrial Ecology. 2(3). 11–13. 7 indexed citations
20.
Frey, H. Christopher, Edward S. Rubin, & Urmila M. Diwekar. (1994). Modeling uncertainties in advanced technologies: Application to a coal gasification system with hot-gas cleanup. Energy. 19(4). 449–463. 20 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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