2026 Andrea Lodi: Mathematics Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	61	3037	2948	1486	1430	341	16894
Mathematics	56	725	618	358	284	283	15783

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

3037

2948

1486

1430

341

16894

Mathematics

725

618

358

284

283

15783

Computer Science

D-Index

Citations

16894

World Ranking

3037

National Ranking

1486

Mathematics

D-Index

Citations

15783

World Ranking

725

National Ranking

358

Overview

Andrea Lodi is affiliated with Cornell University in the United States. Their research focuses primarily on applications within engineering and computer science, with significant work in subfields such as industrial and manufacturing engineering, artificial intelligence, management science and operations research, computer networks and communications, and economics and econometrics.

The main topics of Andrea Lodi's research include:

Vehicle Routing Optimization Methods
Auction Theory and Applications
Transportation and Mobility Innovations
Metaheuristic Optimization Algorithms Research
Transportation Planning and Optimization
Constraint Satisfaction and Optimization
Advanced Optimization Algorithms Research

Andrea Lodi has published extensively, with frequent publications in venues such as:

arXiv (Cornell University)
Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)
Operations Research
INFORMS Journal on Computing
European Journal of Operational Research

Selected recent papers include:

"Machine learning for combinatorial optimization: A methodological tour d'horizon," 2021, Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)
"Machine learning for combinatorial optimization: A methodological tour d'horizon," 2020, European Journal of Operational Research
"Combinatorial Optimization and Reasoning with Graph Neural Networks," 2021, Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)
"Machine-learning-based column selection for column generation," 2021, Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)
"The promise of machine learning applications in solid organ transplantation," 2022, npj Digital Medicine

Frequent collaborators in Andrea Lodi's research include:

Margarida Carvalho
Guy Desaulniers
Didier Chételat
Emma Frejinger
Maxime Gasse

Lodi has contributed to published books, including:

"Mathematical Optimization for Efficient and Robust Energy Networks," Springer International Publishing, 2021
"Primal Heuristics in Integer Programming," Cambridge University Press, 2025

Best Publications

Machine learning for combinatorial optimization: A methodological tour d’horizon

Yoshua Bengio;Andrea Lodi;Antoine Prouvost

1420
Citations
Two-dimensional packing problems: A survey

Andrea Lodi;Silvano Martello;Michele Monaci

1220
Citations
An algorithmic framework for convex mixed integer nonlinear programs

Pierre Bonami;Lorenz T. Biegler;Andrew R. Conn;GéRard CornuéJols

1144
Citations
Local branching

Unknown

755
Citations
The feasibility pump

Matteo Fischetti;Fred Glover;Andrea Lodi

516
Citations
Heuristic and Metaheuristic Approaches for a Class of Two-Dimensional Bin Packing Problems

Andrea Lodi;Silvano Martello;Daniele Vigo

502
Citations
Recent advances on two-dimensional bin packing problems

Andrea Lodi;Silvano Martello;Daniele Vigo

479
Citations
An MILP Approach for Short-Term Hydro Scheduling and Unit Commitment With Head-Dependent Reservoir

A. Borghetti;C. D'Ambrosio;A. Lodi;S. Martello

421
Citations
MIPLIB 2010 - Mixed Integer Programming Library version 5

Thorsten Koch;Tobias Achterberg;Erling Andersen;Oliver Bastert

385
Citations
Heuristic algorithms for the three-dimensional bin packing problem

Andrea Lodi;Silvano Martello;Daniele Vigo

279
Citations
Exact Combinatorial Optimization with Graph Convolutional Neural Networks

Maxime Gasse;Didier Chetelat;Nicola Ferroni;Laurent Charlin

256
Citations
Piecewise linear approximation of functions of two variables in MILP models

Claudia D'Ambrosio;Andrea Lodi;Silvano Martello

255
Citations
On the optimal design of water distribution networks: a practical MINLP approach

Cristiana Bragalli;Claudia D’Ambrosio;Jon Lee;Andrea Lodi

253
Citations
Combinatorial Optimization and Reasoning with Graph Neural Networks

Quentin Cappart;Didier Chételat;Elias B. Khalil;Andrea Lodi

214
Citations
Cost-Based Domain Filtering

Filippo Focacci;Andrea Lodi;Michela Milano

210
Citations
On learning and branching: a survey

Andrea Lodi;Giulia Zarpellon

201
Citations
A Hybrid Exact Algorithm for the TSPTW

Filippo Focacci;Andrea Lodi;Michela Milano

200
Citations
A feasibility pump heuristic for general mixed-integer problems

Livio Bertacco;Matteo Fischetti;Andrea Lodi

198
Citations
A VLIW processor with reconfigurable instruction set for embedded applications

A. Lodi;M. Toma;F. Campi;A. Cappelli

190
Citations
Mathematical Programming techniques in Water Network Optimization

Claudia D’Ambrosio;Andrea Lodi;Sven Wiese;Cristiana Bragalli

187
Citations
A Feasibility Pump for mixed integer nonlinear programs

Pierre Bonami;Gérard Cornuéjols;Andrea Lodi;François Margot

180
Citations
Mixed Integer Programming Computation

Andrea Lodi

178
Citations
Approximation algorithms for the oriented two-dimensional bin packing problem

Andrea Lodi;Silvano Martello;Daniele Vigo

176
Citations

Frequent Co-Authors

Silvano Martello University of Bologna

Michele Monaci University of Bologna

Matteo Fischetti University of Padua

Michela Milano University of Bologna

Roberto Guerrieri University of Bologna

Daniele Vigo University of Bologna

Alberto Caprara University of Bologna

Adam N. Letchford Lancaster University

Paolo Toth University of Bologna

Antonio Frangioni University of Pisa

External Links

Personal website of Andrea Lodi Google Scholar page

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