João Clı́maco

3.7k total citations
117 papers, 2.5k citations indexed

About

João Clı́maco is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, João Clı́maco has authored 117 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Management Science and Operations Research, 29 papers in Electrical and Electronic Engineering and 29 papers in Industrial and Manufacturing Engineering. Recurrent topics in João Clı́maco's work include Multi-Criteria Decision Making (24 papers), Advanced Optical Network Technologies (22 papers) and Vehicle Routing Optimization Methods (20 papers). João Clı́maco is often cited by papers focused on Multi-Criteria Decision Making (24 papers), Advanced Optical Network Technologies (22 papers) and Vehicle Routing Optimization Methods (20 papers). João Clı́maco collaborates with scholars based in Portugal, Brazil and United States. João Clı́maco's co-authors include Luís C. Dias, M. Eugénia Captivo, Maria João Alves, José Rui Figueira, Marta Pascoal, Ernesto Queirós Vieira Martins, Vincent Mousseau, Carlos Gomes da Silva, Carlos Henggeler Antunes and José Craveirinha and has published in prestigious journals such as Journal of Cleaner Production, European Journal of Operational Research and Waste Management.

In The Last Decade

João Clı́maco

109 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
João Clı́maco Portugal 27 775 584 457 418 303 117 2.5k
Tito Homem‐de‐Mello United States 27 1.4k 1.9× 567 1.0× 651 1.4× 408 1.0× 284 0.9× 66 3.4k
Dingwei Wang China 28 565 0.7× 823 1.4× 487 1.1× 304 0.7× 562 1.9× 204 2.7k
John M. Mulvey United States 32 1.6k 2.1× 744 1.3× 991 2.2× 540 1.3× 253 0.8× 122 4.8k
Laureano F. Escudero Spain 31 802 1.0× 962 1.6× 682 1.5× 183 0.4× 132 0.4× 157 2.9k
Sunil Chopra United States 28 664 0.9× 872 1.5× 202 0.4× 339 0.8× 131 0.4× 94 5.7k
Suvrajeet Sen United States 28 1.3k 1.7× 407 0.7× 1.0k 2.3× 319 0.8× 177 0.6× 104 2.9k
Stavros A. Zenios United States 35 1.9k 2.5× 445 0.8× 930 2.0× 819 2.0× 159 0.5× 189 5.2k
Gerald G. Brown United States 25 381 0.5× 1.1k 1.8× 664 1.5× 194 0.5× 120 0.4× 92 3.4k
Kurt Jörnsten Norway 23 238 0.3× 605 1.0× 255 0.6× 173 0.4× 139 0.5× 113 1.6k
Costas P. Pappis Greece 27 615 0.8× 436 0.7× 584 1.3× 268 0.6× 667 2.2× 72 2.9k

Countries citing papers authored by João Clı́maco

Since Specialization
Citations

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

Fields of papers citing papers by João Clı́maco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of João Clı́maco

This figure shows the co-authorship network connecting the top 25 collaborators of João Clı́maco. A scholar is included among the top collaborators of João Clı́maco 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 João Clı́maco. João Clı́maco 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.
Craveirinha, José, Marta Pascoal, & João Clı́maco. (2023). An exact approach for finding bicriteria maximally SRLG-disjoint/shortest path pairs in telecommunication networks. INFOR Information Systems and Operational Research. 61(3). 399–418. 2 indexed citations
2.
Pascoal, Marta, José Craveirinha, & João Clı́maco. (2021). An exact lexicographic approach for the maximally risk-disjoint/minimal cost path pair problem in telecommunication networks. Top. 30(2). 405–425. 4 indexed citations
3.
Souza, Ricardo Gabbay de, et al.. (2016). Sustainability assessment and prioritisation of e-waste management options in Brazil. Waste Management. 57. 46–56. 111 indexed citations
4.
Saraiva, Anna Bernstad, et al.. (2016). Life Cycle Assessment and Multi-criteria Decision Analysis: Selection of a strategy for domestic food waste management in Rio de Janeiro. Journal of Cleaner Production. 143. 744–756. 70 indexed citations
5.
Craveirinha, José, João Clı́maco, Lúcia Martins, & Marta Pascoal. (2015). An exact method for constructing minimal cost/minimal SRLG spanning trees over optical networks. Telecommunication Systems. 62(2). 327–346. 1 indexed citations
6.
Clı́maco, João, António Gomes Martins, & Anı́bal T. de Almeida. (2014). On the use of multicriteria optimisation for electric energy planning. International Journal of Global Energy Issues. 1 indexed citations
7.
Captivo, M. Eugénia, et al.. (2013). A DSS for bicriteria location problems. Decision Support Systems. 57. 224–244. 13 indexed citations
8.
Craveirinha, José, et al.. (2012). Hierarchical Multiobjective Routing Model in MPLS Networks with Two Service Classes - A Comparison Case Study. Journal of Telecommunications and Information Technology. 29–42.
9.
Gomes, Teresa, et al.. (2010). Performance Analysis of a Bi-Objective Model for Routing with Protection in WDM Networks. Journal of Telecommunications and Information Technology. 25–35. 1 indexed citations
10.
Clı́maco, João, João Carlos Correia Baptista Soares de Mello, & Lídia Ângulo Meza. (2010). A Study of Highways Performance with a Molp-Dea Model and an Interactive Tri-Criteria Linear Programming Package (Trimap). Brazilian Journal of Operations & Production Management. 7(1). 163–179. 4 indexed citations
11.
Gomes, Teresa, et al.. (2010). Performance Analysis of a Bi-Objective Model for Routing and Wavelength Assignment in WDM Networks. Journal of Telecommunications and Information Technology. 13–24. 1 indexed citations
12.
Gomes, Teresa, José Craveirinha, João Clı́maco, & Cristina Simões. (2009). A bicriteria routing model for multi-fibre WDM networks. Photonic Network Communications. 18(3). 287–299. 7 indexed citations
13.
Silva, Carlos Gomes da, et al.. (2008). Finding communities in the efficient solutions network. 64(5). 516–22. 1 indexed citations
14.
Pascoal, Marta, M. Eugénia Captivo, & João Clı́maco. (2003). A note on a new variant of Murty’s ranking assignments algorithm. Estudo Geral (Universidade de Coimbra). 16 indexed citations
15.
Clı́maco, João. (2003). A critical reflection on optimal decision. European Journal of Operational Research. 153(2). 506–516. 18 indexed citations
16.
Captivo, M. Eugénia, et al.. (2003). Solving bicriteria 0–1 knapsack problems using a labeling algorithm. Computers & Operations Research. 30(12). 1865–1886. 55 indexed citations
17.
Dias, Joana, et al.. (2003). An interactive procedure dedicated to a bicriteria plant location model. Computers & Operations Research. 30(13). 1977–2002. 6 indexed citations
18.
Clı́maco, João. (2001). Uma reflexão crítica da decisão óptima. Revista crítica de ciências sociais. 5–35. 2 indexed citations
20.
Coutinho‐Rodrigues, João, João Clı́maco, & John Current. (1994). A PC-BASED INTERACTIVE DECISION SUPPORT SYSTEM FOR TWO OBJECTIVE DIRECT DELIVERY PROBLEMS.. Journal of Business Logistics. 6 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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