Anshul Agarwal

1.6k total citations
27 papers, 1.2k citations indexed

About

Anshul Agarwal is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Anshul Agarwal has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 7 papers in Industrial and Manufacturing Engineering and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Anshul Agarwal's work include Advanced Control Systems Optimization (5 papers), Scheduling and Optimization Algorithms (4 papers) and Process Optimization and Integration (4 papers). Anshul Agarwal is often cited by papers focused on Advanced Control Systems Optimization (5 papers), Scheduling and Optimization Algorithms (4 papers) and Process Optimization and Integration (4 papers). Anshul Agarwal collaborates with scholars based in United States, India and France. Anshul Agarwal's co-authors include Lorenz T. Biegler, Stephen E. Zitney, John M. Wassick, Yuri Lvov, Fengqi You, Yunfei Chu, Rishikesh Sawant, Vladimir P. Torchilin, Bruno A. Calfa and Scott J. Bury and has published in prestigious journals such as Journal of Controlled Release, International Journal of Hydrogen Energy and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Anshul Agarwal

26 papers receiving 1.2k citations

Peers

Anshul Agarwal
Bo Lü China
Joseph Chan Hong Kong
Anshul Agarwal
Citations per year, relative to Anshul Agarwal Anshul Agarwal (= 1×) peers Liming Wang

Countries citing papers authored by Anshul Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Anshul Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anshul Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Anshul Agarwal. A scholar is included among the top collaborators of Anshul Agarwal 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 Anshul Agarwal. Anshul Agarwal 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.
Kumar, Mukesh, Naoum Tsolakis, Anshul Agarwal, & Jagjit Singh Srai. (2019). Developing distributed manufacturing strategies from the perspective of a product-process matrix. International Journal of Production Economics. 219. 1–17. 49 indexed citations
2.
Paiva‐Santos, Ana Cláudia, Francisco Veiga, António J. Ribeiro, et al.. (2018). Halloysite clay nanotubes for life sciences applications: From drug encapsulation to bioscaffold. Advances in Colloid and Interface Science. 257. 58–70. 161 indexed citations
3.
Bassett, Matthew H., et al.. (2017). Efficient formulations for dynamic warehouse location under discrete transportation costs. Computers & Chemical Engineering. 111. 311–323. 19 indexed citations
4.
García‐Herreros, Pablo, Anshul Agarwal, John M. Wassick, & Ignacio E. Grossmann. (2016). Optimizing inventory policies in process networks under uncertainty. Computers & Chemical Engineering. 92. 256–272. 18 indexed citations
5.
Calfa, Bruno A., Anshul Agarwal, Scott J. Bury, John M. Wassick, & Ignacio E. Grossmann. (2015). Data-Driven Simulation and Optimization Approaches To Incorporate Production Variability in Sales and Operations Planning. Industrial & Engineering Chemistry Research. 54(29). 7261–7272. 14 indexed citations
6.
Calfa, Bruno A., I.E. Grossmann, Anshul Agarwal, Scott J. Bury, & John M. Wassick. (2015). Data-driven individual and joint chance-constrained optimization via kernel smoothing. Computers & Chemical Engineering. 78. 51–69. 60 indexed citations
7.
Chu, Yunfei, Fengqi You, John M. Wassick, & Anshul Agarwal. (2014). Simulation-based optimization framework for multi-echelon inventory systems under uncertainty. Computers & Chemical Engineering. 73. 1–16. 58 indexed citations
8.
Agarwal, Anshul, et al.. (2014). The New Spectrum of Corporate Social Responsibility in Emerging Economies. 7 indexed citations
9.
Chu, Yunfei, Fengqi You, John M. Wassick, & Anshul Agarwal. (2014). Integrated planning and scheduling under production uncertainties: Bi-level model formulation and hybrid solution method. Computers & Chemical Engineering. 72. 255–272. 89 indexed citations
10.
Nie, Yisu, Paul M. Witt, Anshul Agarwal, & Lorenz T. Biegler. (2013). Optimal Active Catalyst and Inert Distribution in Catalytic Packed Bed Reactors: ortho-Xylene Oxidation. Industrial & Engineering Chemistry Research. 52(44). 15311–15320. 33 indexed citations
11.
Calfa, Bruno A., Anshul Agarwal, Ignacio E. Grossmann, & John M. Wassick. (2013). Hybrid Bilevel-Lagrangean Decomposition Scheme for the Integration of Planning and Scheduling of a Network of Batch Plants. Industrial & Engineering Chemistry Research. 52(5). 2152–2167. 28 indexed citations
12.
Agarwal, Anshul & Lorenz T. Biegler. (2011). A trust-region framework for constrained optimization using reduced order modeling. Optimization and Engineering. 14(1). 3–35. 51 indexed citations
13.
Agarwal, Anshul, Lorenz T. Biegler, & Stephen E. Zitney. (2009). A superstructure‐based optimal synthesis of PSA cycles for post‐combustion CO2 capture. AIChE Journal. 56(7). 1813–1828. 158 indexed citations
14.
Agarwal, Anshul, Yuri Lvov, Rishikesh Sawant, & Vladimir P. Torchilin. (2008). Stable nanocolloids of poorly soluble drugs with high drug content prepared using the combination of sonication and layer-by-layer technology. Journal of Controlled Release. 128(3). 255–260. 127 indexed citations
15.
Basu, Suddhasatwa, Anshul Agarwal, & Hiralal Pramanik. (2008). Improvement in performance of a direct ethanol fuel cell: Effect of sulfuric acid and Ni-mesh. Electrochemistry Communications. 10(9). 1254–1257. 24 indexed citations
16.
Agarwal, Anshul, Lorenz T. Biegler, & Stephen E. Zitney. (2008). Simulation and Optimization of Pressure Swing Adsorption Systems Using Reduced-Order Modeling. Industrial & Engineering Chemistry Research. 48(5). 2327–2343. 96 indexed citations
17.
Agarwal, Anshul & Ashok N. Bhaskarwar. (2007). Comparative simulation of falling-film and parallel-film reactors for photocatalytic production of hydrogen. International Journal of Hydrogen Energy. 32(14). 2764–2775. 3 indexed citations
18.
Carpenter, Margaret A., Michael W. Epperly, Anshul Agarwal, et al.. (2005). Inhalation delivery of manganese superoxide dismutase-plasmid/liposomes protects the murine lung from irradiation damage. Gene Therapy. 12(8). 685–693. 67 indexed citations
19.
Agarwal, Anshul, Pnina Yaron, Michael W. Epperly, James D. Luketich, & Joel S. Greenberger. (2004). Prevention of photodynamic therapy (PDT)-induced esophageal stricture by overexpression of manganese superoxide dismutase (MNSOD). International Journal of Radiation Oncology*Biology*Physics. 60(1). S355–S355. 1 indexed citations
20.
Agarwal, Anshul, et al.. (1985). Right ventricular infarction in acute inferior wall infarction. Importance of right precordial electrocardiography.. PubMed. 36(4). 202–5. 5 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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