Tito Homem‐de‐Mello

5.1k total citations · 1 hit paper
66 papers, 3.4k citations indexed

About

Tito Homem‐de‐Mello is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Management Information Systems. According to data from OpenAlex, Tito Homem‐de‐Mello has authored 66 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Management Science and Operations Research, 16 papers in Control and Systems Engineering and 15 papers in Management Information Systems. Recurrent topics in Tito Homem‐de‐Mello's work include Risk and Portfolio Optimization (23 papers), Supply Chain and Inventory Management (13 papers) and Optimization and Mathematical Programming (12 papers). Tito Homem‐de‐Mello is often cited by papers focused on Risk and Portfolio Optimization (23 papers), Supply Chain and Inventory Management (13 papers) and Optimization and Mathematical Programming (12 papers). Tito Homem‐de‐Mello collaborates with scholars based in United States, Chile and France. Tito Homem‐de‐Mello's co-authors include Alexander Shapiro, Anton J. Kleywegt, Güzi̇n Bayraksan, William L. Cooper, Sanjay Mehrotra, Bernardo K. Pagnoncelli, Lijian Chen, Jian Hu, Vitor Luiz de Matos and Erlon Cristian Finardi and has published in prestigious journals such as Management Science, Journal of Cleaner Production and Applied Energy.

In The Last Decade

Tito Homem‐de‐Mello

65 papers receiving 3.2k citations

Hit Papers

The Sample Average Approximation Method for Stochastic Di... 2002 2026 2010 2018 2002 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tito Homem‐de‐Mello United States 27 1.4k 686 651 567 452 66 3.4k
John M. Mulvey United States 32 1.6k 1.1× 498 0.7× 991 1.5× 744 1.3× 318 0.7× 122 4.8k
Anton J. Kleywegt United States 21 1.3k 0.9× 921 1.3× 530 0.8× 1.3k 2.2× 267 0.6× 42 3.9k
Stavros A. Zenios United States 35 1.9k 1.3× 464 0.7× 930 1.4× 445 0.8× 307 0.7× 189 5.2k
Suvrajeet Sen United States 28 1.3k 0.9× 506 0.7× 1.0k 1.6× 407 0.7× 569 1.3× 104 2.9k
Wolfram Wiesemann United Kingdom 23 1.4k 0.9× 257 0.4× 807 1.2× 331 0.6× 354 0.8× 56 2.4k
Darinka Dentcheva United States 20 2.4k 1.6× 339 0.5× 906 1.4× 238 0.4× 537 1.2× 58 3.9k
Stein W. Wallace Norway 35 1.7k 1.2× 1.3k 1.9× 1.1k 1.6× 1.3k 2.3× 897 2.0× 142 5.8k
Shane G. Henderson United States 28 859 0.6× 539 0.8× 178 0.3× 452 0.8× 208 0.5× 148 2.6k
Behnam Vahdani Iran 42 2.1k 1.4× 628 0.9× 1.1k 1.7× 1.3k 2.3× 112 0.2× 158 4.6k
Samarjit Kar India 32 1.8k 1.3× 762 1.1× 926 1.4× 489 0.9× 130 0.3× 192 3.5k

Countries citing papers authored by Tito Homem‐de‐Mello

Since Specialization
Citations

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

Fields of papers citing papers by Tito Homem‐de‐Mello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tito Homem‐de‐Mello. 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 Tito Homem‐de‐Mello. The network helps show where Tito Homem‐de‐Mello may publish in the future.

Co-authorship network of co-authors of Tito Homem‐de‐Mello

This figure shows the co-authorship network connecting the top 25 collaborators of Tito Homem‐de‐Mello. A scholar is included among the top collaborators of Tito Homem‐de‐Mello 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 Tito Homem‐de‐Mello. Tito Homem‐de‐Mello 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.
Babonneau, Frédéric, et al.. (2025). Integrated long-term energy planning with vehicle-to-grid for decarbonization of the Chilean energy system. Journal of Cleaner Production. 523. 146381–146381. 1 indexed citations
2.
Garcia, Joaquim Dias, Alexandre Street, Tito Homem‐de‐Mello, & Francisco D. Muñoz. (2024). Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting. Operations Research. 73(1). 22–39. 9 indexed citations
3.
Babonneau, Frédéric, et al.. (2022). Energy planning policies for residential and commercial sectors under ambitious global and local emissions objectives: A Chilean case study. Journal of Cleaner Production. 350. 131299–131299. 11 indexed citations
4.
Rahimian, Hamed, Güzi̇n Bayraksan, & Tito Homem‐de‐Mello. (2022). Effective Scenarios in Multistage Distributionally Robust Optimization with a Focus on Total Variation Distance. SIAM Journal on Optimization. 32(3). 1698–1727. 5 indexed citations
5.
Babonneau, Frédéric, et al.. (2022). The Role of Hydrogen for Deep Decarbonization of Energy Systems: A Chilean Case Study. SSRN Electronic Journal. 1 indexed citations
6.
Armstrong, Margaret, et al.. (2021). Adaptive open-pit mining planning under geological uncertainty. Resources Policy. 72. 102086–102086. 15 indexed citations
7.
Armstrong, Margaret, et al.. (2020). A framework for adaptive open-pit mining planning under geological uncertainty. Optimization and Engineering. 23(1). 111–146. 7 indexed citations
8.
Rahimian, Hamed, Güzi̇n Bayraksan, & Tito Homem‐de‐Mello. (2019). Controlling risk and demand ambiguity in newsvendor models. European Journal of Operational Research. 279(3). 854–868. 35 indexed citations
9.
Nie, Yu, et al.. (2014). Finding Efficient and Environmentally Friendly Paths for Risk-Averse Freight Carriers. Networks and Spatial Economics. 16(1). 255–275. 19 indexed citations
10.
Homem‐de‐Mello, Tito & Güzi̇n Bayraksan. (2014). Monte Carlo sampling-based methods for stochastic optimization. 19(1). 56–85. 179 indexed citations
11.
Nie, Yu, et al.. (2013). Incorporating Environmental Measures into a Reliable Freight Routing Model. Transportation Research Board 92nd Annual MeetingTransportation Research Board. 2 indexed citations
12.
Hu, Jian, Tito Homem‐de‐Mello, & Sanjay Mehrotra. (2013). Stochastically weighted stochastic dominance concepts with an application in capital budgeting. European Journal of Operational Research. 232(3). 572–583. 13 indexed citations
13.
Daskin, Mark S., et al.. (2012). Dynamic fleet scheduling with uncertain demand and customer flexibility. Computational Management Science. 9(4). 459–481. 2 indexed citations
14.
Hu, Jian, Tito Homem‐de‐Mello, & Sanjay Mehrotra. (2011). Risk-adjusted budget allocation models with application in homeland security. IIE Transactions. 43(12). 819–839. 37 indexed citations
15.
Homem‐de‐Mello, Tito, et al.. (2005). Some large deviations results for Latin hypercube sampling. Winter Simulation Conference. 673–681. 4 indexed citations
16.
Homem‐de‐Mello, Tito, et al.. (2005). Solving the Vehicle Routing Problem with Stochastic Demands using the Cross-Entropy Method. Annals of Operations Research. 134(1). 153–181. 113 indexed citations
17.
Homem‐de‐Mello, Tito & Reuven Y. Rubinstein. (2002). Rare event simulation and combinatorial optimization using cross entropy: estimation of rare event probabilities using cross-entropy. Winter Simulation Conference. 310–319. 4 indexed citations
18.
Kleywegt, Anton J., Alexander Shapiro, & Tito Homem‐de‐Mello. (2002). The Sample Average Approximation Method for Stochastic Discrete Optimization. SIAM Journal on Optimization. 12(2). 479–502. 1304 indexed citations breakdown →
19.
Homem‐de‐Mello, Tito, Alexander Shapiro, & M Leroy Spearman. (1999). Finding Optimal Material Release Times Using Simulation-Based Optimization. Management Science. 45(1). 86–102. 61 indexed citations
20.
Shapiro, Alexander & Tito Homem‐de‐Mello. (1998). A simulation-based approach to two-stage stochastic programming with recourse. Mathematical Programming. 81(3). 301–325. 196 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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