Karthik Natarajan

1.8k total citations
50 papers, 1.2k citations indexed

About

Karthik Natarajan is a scholar working on Management Science and Operations Research, Economics and Econometrics and Control and Systems Engineering. According to data from OpenAlex, Karthik Natarajan has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Management Science and Operations Research, 13 papers in Economics and Econometrics and 8 papers in Control and Systems Engineering. Recurrent topics in Karthik Natarajan's work include Risk and Portfolio Optimization (22 papers), Economic and Environmental Valuation (10 papers) and Optimization and Mathematical Programming (7 papers). Karthik Natarajan is often cited by papers focused on Risk and Portfolio Optimization (22 papers), Economic and Environmental Valuation (10 papers) and Optimization and Mathematical Programming (7 papers). Karthik Natarajan collaborates with scholars based in Singapore, United States and India. Karthik Natarajan's co-authors include Chung‐Piaw Teo, Melvyn Sim, Dimitris Bertsimas, Dessislava A. Pachamanova, Xuan Vinh Doan, Joline Uichanco, Miao Song, Zhichao Zheng, Selin Damla Ahipaşaoğlu and Thomas L. Magnanti and has published in prestigious journals such as IEEE Transactions on Automatic Control, Management Science and Scientific Reports.

In The Last Decade

Karthik Natarajan

46 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karthik Natarajan Singapore 18 727 266 226 216 167 50 1.2k
Aurélie Thiele United States 9 649 0.9× 366 1.4× 421 1.9× 90 0.4× 82 0.5× 22 1.3k
Huifu Xu United Kingdom 25 1.1k 1.6× 103 0.4× 391 1.7× 302 1.4× 146 0.9× 95 1.8k
Peijun Guo Japan 20 1.2k 1.6× 232 0.9× 523 2.3× 177 0.8× 106 0.6× 58 1.5k
Jiawei Zhang United States 23 596 0.8× 577 2.2× 211 0.9× 228 1.1× 61 0.4× 92 2.1k
Julia L. Higle United States 15 616 0.8× 295 1.1× 373 1.7× 135 0.6× 139 0.8× 33 1.2k
Belaı̈d Aouni Canada 21 856 1.2× 145 0.5× 738 3.3× 143 0.7× 144 0.9× 70 1.4k
Andrew E. B. Lim United States 20 791 1.1× 181 0.7× 218 1.0× 361 1.7× 949 5.7× 53 1.7k
Vishal Gupta United States 10 403 0.6× 103 0.4× 190 0.8× 73 0.3× 57 0.3× 23 869
Willem K. Klein Haneveld Netherlands 15 411 0.6× 301 1.1× 217 1.0× 87 0.4× 66 0.4× 42 861
Adiel Teixeira de Almeida Filho Brazil 18 491 0.7× 103 0.4× 148 0.7× 88 0.4× 54 0.3× 60 1.0k

Countries citing papers authored by Karthik Natarajan

Since Specialization
Citations

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

Fields of papers citing papers by Karthik Natarajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karthik Natarajan

This figure shows the co-authorship network connecting the top 25 collaborators of Karthik Natarajan. A scholar is included among the top collaborators of Karthik Natarajan 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 Karthik Natarajan. Karthik Natarajan 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.
2.
Murthy, Karthyek, et al.. (2023). A Nonparametric Approach with Marginals for Modeling Consumer Choice. National University of Singapore. 1078–1078. 2 indexed citations
3.
Ahipaşaoğlu, Selin Damla, et al.. (2021). Extremal Probability Bounds in Combinatorial Optimization. SSRN Electronic Journal. 1 indexed citations
4.
Ahipaşaoğlu, Selin Damla, et al.. (2019). Distributionally robust project crashing with partial or no correlation information. Networks. 74(1). 79–106. 6 indexed citations
5.
Ahipaşaoğlu, Selin Damla, et al.. (2019). Distributionally Robust Markovian Traffic Equilibrium. Transportation Science. 53(6). 1546–1562. 6 indexed citations
6.
Natarajan, Karthik, et al.. (2019). Composite pattern to handle variation points in software architectural design of evolving application systems. IET Software. 14(2). 98–105. 2 indexed citations
7.
Ahipaşaoğlu, Selin Damla, et al.. (2018). A Convex Optimization Approach for Computing Correlated Choice Probabilities With Many Alternatives. IEEE Transactions on Automatic Control. 64(1). 190–205. 5 indexed citations
8.
Ma, Will, et al.. (2018). Distributionally Robust Linear and Discrete Optimization with Marginals. SSRN Electronic Journal. 5 indexed citations
9.
Ahipaşaoğlu, Selin Damla, et al.. (2016). On the flexibility of using marginal distribution choice models in traffic equilibrium. Transportation Research Part B Methodological. 91. 130–158. 22 indexed citations
10.
Natarajan, Karthik, et al.. (2013). Analyzing Requests for Clinical Data for Self-Service Penetration.. AMIA. 1 indexed citations
11.
Natarajan, Karthik, et al.. (2013). A Probabilistic Model for Minmax Regret in Combinatorial Optimization. Operations Research. 62(1). 160–181. 14 indexed citations
12.
Natarajan, Karthik, et al.. (2012). Tracking-Error Models for Multiple Benchmarks: Theory and Empirical Performance. SSRN Electronic Journal. 2 indexed citations
13.
Bertsimas, Dimitris, Xuan Vinh Doan, Karthik Natarajan, & Chung‐Piaw Teo. (2010). Models for Minimax Stochastic Linear Optimization Problems with Risk Aversion. Mathematics of Operations Research. 35(3). 580–602. 159 indexed citations
14.
Natarajan, Karthik, Chung‐Piaw Teo, & Zhichao Zheng. (2009). Mixed 0-1 Linear Programs Under Objective Uncertainty: A Completely Positive Representation. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 5 indexed citations
15.
Natarajan, Karthik, Dessislava A. Pachamanova, & Melvyn Sim. (2008). Incorporating Asymmetric Distributional Information in Robust Value-at-Risk Optimization. Management Science. 54(3). 573–585. 112 indexed citations
16.
Bertsimas, Dimitris & Karthik Natarajan. (2007). A semidefinite optimization approach to the steady-state analysis of queueing systems. Queueing Systems. 56(1). 27–39. 19 indexed citations
17.
Bertsimas, Dimitris, Karthik Natarajan, & Chung‐Piaw Teo. (2006). TIGHT BOUNDS ON EXPECTED ORDER STATISTICS. Probability in the Engineering and Informational Sciences. 20(4). 667–686. 38 indexed citations
18.
Natarajan, Karthik, et al.. (2006). Performance evaluation of priority dispatching rules in multi-level assembly job shops with jobs having weights for flowtime and tardiness. The International Journal of Advanced Manufacturing Technology. 31(7-8). 751–761. 38 indexed citations
19.
Natarajan, Karthik, Dessislava A. Pachamanova, & Melvyn Sim. (2006). A Tractable Parametric Approach to Value-at-Risk Optimization. 1 indexed citations
20.
Bertsimas, Dimitris, Karthik Natarajan, & Chung‐Piaw Teo. (2004). Probabilistic Combinatorial Optimization: Moments, Semidefinite Programming, and Asymptotic Bounds. SIAM Journal on Optimization. 15(1). 185–209. 48 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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