Marcus Poggi

1.3k total citations · 1 hit paper
31 papers, 799 citations indexed

About

Marcus Poggi is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Marcus Poggi has authored 31 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Industrial and Manufacturing Engineering and 5 papers in Computational Theory and Mathematics. Recurrent topics in Marcus Poggi's work include Vehicle Routing Optimization Methods (9 papers), Optimization and Packing Problems (6 papers) and Transportation and Mobility Innovations (4 papers). Marcus Poggi is often cited by papers focused on Vehicle Routing Optimization Methods (9 papers), Optimization and Packing Problems (6 papers) and Transportation and Mobility Innovations (4 papers). Marcus Poggi collaborates with scholars based in Brazil, Canada and United States. Marcus Poggi's co-authors include Diego Pecin, Eduardo Uchoa, Artur Alves Pessoa, Anand Subramanian, Thibaut Vidal, Sanjay Dominik Jena, Rafael Martinelli, Ignacio E. Grossmann, Plácido Rogério Pinheiro and Haroldo Gambini Santos and has published in prestigious journals such as European Journal of Operational Research, Pattern Recognition and Computers & Operations Research.

In The Last Decade

Marcus Poggi

30 papers receiving 773 citations

Hit Papers

New benchmark instances for the Capacitated Vehicle Routi... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcus Poggi Brazil 12 583 255 160 113 73 31 799
Gustavo Gatica Chile 9 593 1.0× 335 1.3× 242 1.5× 102 0.9× 75 1.0× 77 885
Barrie M. Baker United Kingdom 9 547 0.9× 237 0.9× 167 1.0× 137 1.2× 86 1.2× 15 713
Nicolas Jozefowiez France 14 705 1.2× 309 1.2× 214 1.3× 116 1.0× 46 0.6× 27 976
Ricardo Fukasawa Canada 14 689 1.2× 303 1.2× 163 1.0× 55 0.5× 43 0.6× 39 820
Ahmad Hemmati Norway 10 504 0.9× 181 0.7× 144 0.9× 41 0.4× 71 1.0× 24 648
Baozhen Yao China 17 543 0.9× 305 1.2× 237 1.5× 155 1.4× 86 1.2× 27 963
Daniel Guimarans Spain 12 490 0.8× 178 0.7× 138 0.9× 65 0.6× 44 0.6× 31 614
Emanuela Guerriero Italy 14 519 0.9× 232 0.9× 125 0.8× 41 0.4× 46 0.6× 39 672
The Jin Ai Indonesia 8 470 0.8× 180 0.7× 143 0.9× 136 1.2× 48 0.7× 30 615
José M. Sanchis Spain 20 785 1.3× 229 0.9× 216 1.4× 35 0.3× 105 1.4× 50 906

Countries citing papers authored by Marcus Poggi

Since Specialization
Citations

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

Fields of papers citing papers by Marcus Poggi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcus Poggi

This figure shows the co-authorship network connecting the top 25 collaborators of Marcus Poggi. A scholar is included among the top collaborators of Marcus Poggi 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 Marcus Poggi. Marcus Poggi 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.
Garcia, Joaquim Dias, et al.. (2024). Regularization and optimization in model-based clustering. Pattern Recognition. 150. 110310–110310. 7 indexed citations
2.
Poggi, Marcus, et al.. (2024). Creating Automatic Connections for Personal Knowledge Management. SN Computer Science. 5(5). 1 indexed citations
3.
Florio, Alexandre M., Dominique Feillet, Marcus Poggi, & Thibaut Vidal. (2022). Vehicle Routing with Stochastic Demands and Partial Reoptimization. Transportation Science. 56(5). 1393–1408. 13 indexed citations
4.
Santos, Jefersson A. dos, et al.. (2022). Conditional Reconstruction for Open-Set Semantic Segmentation. 2022 IEEE International Conference on Image Processing (ICIP). 946–950. 7 indexed citations
5.
Poggi, Marcus, et al.. (2020). Toward an Efficient Real-Time Anomaly Detection System for Cloud Datacenters. 529–533. 1 indexed citations
6.
Poggi, Marcus, et al.. (2019). Two-Dimensional Phase Unwrapping via Balanced Spanning Forests. INFORMS journal on computing. 31(3). 527–543. 10 indexed citations
7.
Valladão, Davi, et al.. (2018). Time-consistent risk-constrained dynamic portfolio optimization with transactional costs and time-dependent returns. Annals of Operations Research. 282(1-2). 379–405. 20 indexed citations
8.
Barbosa, Simone Diniz Junqueira, et al.. (2018). Visual Support to Filtering Cases for Process Discovery. 38–49. 1 indexed citations
9.
Martinelli, Rafael, et al.. (2017). The minimum distance superset problem: formulations and algorithms. Journal of Global Optimization. 72(1). 27–53. 2 indexed citations
10.
Grossmann, Ignacio E., et al.. (2017). Petroleum supply planning: reformulations and a novel decomposition algorithm. Optimization and Engineering. 18(1). 215–240. 10 indexed citations
11.
Uchoa, Eduardo, Diego Pecin, Artur Alves Pessoa, et al.. (2016). New benchmark instances for the Capacitated Vehicle Routing Problem. European Journal of Operational Research. 257(3). 845–858. 277 indexed citations breakdown →
12.
Martinelli, Rafael, Diego Pecin, & Marcus Poggi. (2014). Efficient elementary and restricted non-elementary route pricing. European Journal of Operational Research. 239(1). 102–111. 48 indexed citations
13.
Martinelli, Rafael, Marcus Poggi, & Anand Subramanian. (2013). Improved bounds for large scale capacitated arc routing problem. Computers & Operations Research. 40(8). 2145–2160. 31 indexed citations
14.
Poggi, Marcus & David Sotelo. (2011). A linear time approximation algorithm for permutation flow shop scheduling. Theoretical Computer Science. 416. 87–94.
15.
Poggi, Marcus, et al.. (2010). The Team Orienteering Problem: Formulations and Branch-Cut and Price. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 31 indexed citations
16.
Grossmann, Ignacio E., et al.. (2009). Petroleum allocation at PETROBRAS: Mathematical model and a solution algorithm. Computers & Chemical Engineering. 33(12). 2123–2133. 34 indexed citations
17.
Mendes, Carlos Rafael Borges, et al.. (2009). Bounds for short covering codes and reactive tabu search. Discrete Applied Mathematics. 158(5). 522–533. 5 indexed citations
18.
Hansen, Pierre, et al.. (1999). Difficulties of Conditioning and Conditional Independence in Probabilistic Satisfiability. Les Cahiers du GERAD. 1–13. 1 indexed citations
19.
Hansen, Pierre, Brigitte Jaumard, Marcus Poggi, & Cid C. de Souza. (1997). Correctness of Anytime Deduction for Probabilistic Logic. Les Cahiers du GERAD. 1–16. 1 indexed citations
20.
Hansen, Pierre, Marcus Poggi, & Celso C. Ribeiro. (1990). Boolean Queries Optimization and the 0-1 Hyperbolic Sum Problem. Les Cahiers du GERAD. 1–17. 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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