José Craveirinha

494 total citations
47 papers, 281 citations indexed

About

José Craveirinha is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Management Information Systems. According to data from OpenAlex, José Craveirinha has authored 47 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 27 papers in Computer Networks and Communications and 8 papers in Management Information Systems. Recurrent topics in José Craveirinha's work include Advanced Optical Network Technologies (27 papers), Software-Defined Networks and 5G (18 papers) and Network Traffic and Congestion Control (16 papers). José Craveirinha is often cited by papers focused on Advanced Optical Network Technologies (27 papers), Software-Defined Networks and 5G (18 papers) and Network Traffic and Congestion Control (16 papers). José Craveirinha collaborates with scholars based in Portugal and Italy. José Craveirinha's co-authors include João Clı́maco, Marta Pascoal, Teresa Gomes, M. Eugénia Captivo, Lúcia Martins, Carlos Henggeler Antunes, Cristina Simões, Domingos M. Cardoso, Paulo Melo and João Paulo Costa and has published in prestigious journals such as European Journal of Operational Research, Reliability Engineering & System Safety and Computers & Operations Research.

In The Last Decade

José Craveirinha

38 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Craveirinha Portugal 9 142 127 48 46 43 47 281
Raymond Marie France 8 156 1.1× 93 0.7× 38 0.8× 25 0.5× 136 3.2× 27 308
Y.H. Chin Taiwan 8 206 1.5× 33 0.3× 76 1.6× 48 1.0× 30 0.7× 32 380
Giuseppe Iazeolla Italy 12 152 1.1× 43 0.3× 20 0.4× 23 0.5× 134 3.1× 54 354
Yuqi Chen Taiwan 4 145 1.0× 54 0.4× 155 3.2× 73 1.6× 63 1.5× 10 369
Ram Chakka United Kingdom 9 201 1.4× 119 0.9× 30 0.6× 16 0.3× 262 6.1× 37 362
Eduardo Tavares Brazil 13 323 2.3× 130 1.0× 17 0.4× 38 0.8× 35 0.8× 84 524
Dong-Won Seo South Korea 13 126 0.9× 114 0.9× 15 0.3× 58 1.3× 90 2.1× 49 378
Armin Heindl Germany 11 232 1.6× 92 0.7× 38 0.8× 10 0.2× 181 4.2× 25 338
Jane N. Hagstrom United States 9 62 0.4× 30 0.2× 93 1.9× 65 1.4× 22 0.5× 15 312
Kenji Onaga Japan 11 121 0.9× 66 0.5× 13 0.3× 107 2.3× 58 1.3× 67 395

Countries citing papers authored by José Craveirinha

Since Specialization
Citations

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

Fields of papers citing papers by José Craveirinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Craveirinha

This figure shows the co-authorship network connecting the top 25 collaborators of José Craveirinha. A scholar is included among the top collaborators of José Craveirinha 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 José Craveirinha. José Craveirinha 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.
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
4.
Craveirinha, José, et al.. (2013). On a bicriterion server allocation problem in a multidimensional Erlang loss system. Journal of Computational and Applied Mathematics. 252. 103–119. 3 indexed citations
5.
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.
6.
Silva, Jorge Sá, et al.. (2011). An heuristic for maximally SRLG-disjoint path pairs calculation. 1–8. 2 indexed citations
7.
Gomes, Teresa, et al.. (2011). SRLG failure-disjoint path pair of min-sum cost in GMPLS networks. 196–203.
8.
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
9.
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. 43–55.
10.
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
11.
Gomes, Teresa & José Craveirinha. (2010). An Algorithm for Enumerating SRLG Diverse Path Pairs. Journal of Telecommunications and Information Technology. 5–12. 6 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.
Craveirinha, José, et al.. (2008). Hierarchical Multiobjective Routing in MPLS Networks with Two Service Classes - A Meta-Heuristic Resolution Approach. Journal of Telecommunications and Information Technology. 20–37. 2 indexed citations
14.
Craveirinha, José, et al.. (2007). Traffic splitting in MPLS networks – a hierarchical multicriteria approach. Journal of Telecommunications and Information Technology. 3–10. 5 indexed citations
15.
Clı́maco, João, Marta Pascoal, José Craveirinha, & M. Eugénia Captivo. (2006). Internet packet routing: Application of a K-quickest path algorithm. European Journal of Operational Research. 181(3). 1045–1054. 63 indexed citations
16.
17.
Craveirinha, José, et al.. (2003). A new multiple objective dynamic routing method using implied costs. Journal of Telecommunications and Information Technology. 50–59. 9 indexed citations
18.
Craveirinha, José, et al.. (1998). Algorithm for sequential generation of states in failure-prone communication network. IEE Proceedings - Communications. 145(2). 73–73. 5 indexed citations
19.
Craveirinha, José, et al.. (1995). Computing erlang–b function derivatives in the number of servers. Communications in Statistics Stochastic Models. 11(2). 311–331. 5 indexed citations
20.
Craveirinha, José. (1982). Karingana ua karingana. EVORA PUBLIC LIBRARY. 4 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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