Kevin C. Furman

1.7k total citations
32 papers, 1.2k citations indexed

About

Kevin C. Furman is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Ocean Engineering. According to data from OpenAlex, Kevin C. Furman has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 12 papers in Industrial and Manufacturing Engineering and 6 papers in Ocean Engineering. Recurrent topics in Kevin C. Furman's work include Process Optimization and Integration (12 papers), Vehicle Routing Optimization Methods (10 papers) and Advanced Control Systems Optimization (10 papers). Kevin C. Furman is often cited by papers focused on Process Optimization and Integration (12 papers), Vehicle Routing Optimization Methods (10 papers) and Advanced Control Systems Optimization (10 papers). Kevin C. Furman collaborates with scholars based in United States, Argentina and Germany. Kevin C. Furman's co-authors include Nikolaos V. Sahinidis, Jin-Hwa Song, Ignacio E. Grossmann, Vikas Goel, Ramkumar Karuppiah, W. Art Chaovalitwongse, Pãnos M. Pardalos, Yufen Shao, Nicolas W. Sawaya and Bjørn Nygreen and has published in prestigious journals such as European Journal of Operational Research, Industrial & Engineering Chemistry Research and Operations Research.

In The Last Decade

Kevin C. Furman

29 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin C. Furman United States 15 720 450 169 151 113 32 1.2k
E.N. Pistikopoulos United Kingdom 22 1.2k 1.7× 132 0.3× 167 1.0× 30 0.2× 119 1.1× 51 1.6k
Gary R. Kocis United States 7 491 0.7× 136 0.3× 192 1.1× 48 0.3× 40 0.4× 8 756
Gang Rong China 21 887 1.2× 129 0.3× 76 0.4× 25 0.2× 279 2.5× 113 1.2k
Aldo Vecchietti Argentina 14 413 0.6× 132 0.3× 60 0.4× 26 0.2× 59 0.5× 49 751
Claudia D’Ambrosio France 16 255 0.4× 109 0.2× 187 1.1× 75 0.5× 49 0.4× 55 1.3k
Amir Ismail-Yahaya United States 7 215 0.3× 124 0.3× 412 2.4× 20 0.1× 117 1.0× 10 829
Atharv Bhosekar United States 6 210 0.3× 62 0.1× 189 1.1× 33 0.2× 95 0.8× 8 592
Dimitri J. Papageorgiou United States 16 269 0.4× 215 0.5× 33 0.2× 96 0.6× 43 0.4× 33 842
Gabriel A. Hackebeil United States 6 253 0.4× 59 0.1× 55 0.3× 21 0.1× 36 0.3× 8 759
Yunfei Cui China 9 227 0.3× 56 0.1× 108 0.6× 73 0.5× 134 1.2× 21 785

Countries citing papers authored by Kevin C. Furman

Since Specialization
Citations

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

Fields of papers citing papers by Kevin C. Furman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin C. Furman. 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 Kevin C. Furman. The network helps show where Kevin C. Furman may publish in the future.

Co-authorship network of co-authors of Kevin C. Furman

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin C. Furman. A scholar is included among the top collaborators of Kevin C. Furman 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 Kevin C. Furman. Kevin C. Furman 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.
Cafaro, Diego C., et al.. (2023). Selective tightening algorithm for the optimization of pipeline network designs in the energy industry. Computers & Chemical Engineering. 182. 108537–108537.
2.
Harwood, Stuart M., Francisco Trespalacios, Dimitri J. Papageorgiou, & Kevin C. Furman. (2023). Equilibrium modeling and solution approaches inspired by nonconvex bilevel programming. Computational Optimization and Applications. 87(2). 641–676.
3.
4.
Cafaro, Diego C., Ignacio E. Grossmann, Özgür Özen, et al.. (2022). Surface facility optimization for combined shale oil and gas development strategies. Optimization and Engineering. 24(4). 2321–2355. 2 indexed citations
5.
Cafaro, Diego C., Ignacio E. Grossmann, Damian Burch, et al.. (2021). Pipeline network design for gathering unconventional oil and gas production using mathematical optimization. Optimization and Engineering. 9 indexed citations
6.
Furman, Kevin C., Nicolas W. Sawaya, & Ignacio E. Grossmann. (2020). A computationally useful algebraic representation of nonlinear disjunctive convex sets using the perspective function. Computational Optimization and Applications. 76(2). 589–614. 6 indexed citations
7.
Li, Can, David E. Bernal, Kevin C. Furman, Marco A. Durán, & Ignacio E. Grossmann. (2020). Sample average approximation for stochastic nonconvex mixed integer nonlinear programming via outer-approximation. Optimization and Engineering. 22(3). 1245–1273. 6 indexed citations
8.
Blakely, Martin L., et al.. (2018). Multidisciplinary Perioperative Care for Children with Neuromuscular Disorders. Children. 5(9). 126–126. 10 indexed citations
9.
Furman, Kevin C., Amr El-Bakry, & Jin-Hwa Song. (2017). Optimization in the oil and gas industry. Optimization and Engineering. 18(1). 1–2. 9 indexed citations
10.
Shao, Yufen, et al.. (2015). A hybrid heuristic strategy for liquefied natural gas inventory routing. Transportation Research Part C Emerging Technologies. 53. 151–171. 24 indexed citations
11.
Nygreen, Bjørn, et al.. (2014). Alternative approaches to the crude oil tanker routing and scheduling problem with split pickup and split delivery. European Journal of Operational Research. 243(1). 41–51. 26 indexed citations
12.
Grossmann, Ignacio E., et al.. (2013). A discretization-based approach for the optimization of the multiperiod blend scheduling problem. Computers & Chemical Engineering. 53. 122–142. 58 indexed citations
13.
Goel, Vikas, Kevin C. Furman, Jin-Hwa Song, & Amr El-Bakry. (2012). Large neighborhood search for LNG inventory routing. Journal of Heuristics. 18(6). 821–848. 47 indexed citations
14.
Furman, Kevin C., et al.. (2010). Feedstock Routing in the ExxonMobil Downstream Sector. INFORMS Journal on Applied Analytics. 41(2). 149–163. 33 indexed citations
15.
Song, Jin-Hwa & Kevin C. Furman. (2010). A maritime inventory routing problem: Practical approach. Computers & Operations Research. 40(3). 657–665. 103 indexed citations
16.
Pardalos, Pãnos M., Kevin C. Furman, & W. Art Chaovalitwongse. (2009). Optimization and Logistics Challenges in the Enterprise. Springer optimization and its applications. 64 indexed citations
17.
Furman, Kevin C. & Ioannis P. Androulakis. (2008). A novel MINLP-based representation of the original complex model for predicting gasoline emissions. Computers & Chemical Engineering. 32(12). 2857–2876. 10 indexed citations
18.
Furman, Kevin C. & Nikolaos V. Sahinidis. (2004). Approximation Algorithms for the Minimum Number of Matches Problem in Heat Exchanger Network Synthesis. Industrial & Engineering Chemistry Research. 43(14). 3554–3565. 14 indexed citations
19.
Furman, Kevin C. & Nikolaos V. Sahinidis. (2002). A Critical Review and Annotated Bibliography for Heat Exchanger Network Synthesis in the 20th Century. Industrial & Engineering Chemistry Research. 41(10). 2335–2370. 342 indexed citations
20.
Furman, Kevin C.. (2002). Analytical Investigations in Heat Exchanger Network Synthesis. 1 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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