M. Eugénia Captivo

1.5k total citations
39 papers, 1.1k citations indexed

About

M. Eugénia Captivo is a scholar working on Industrial and Manufacturing Engineering, Organizational Behavior and Human Resource Management and Emergency Medical Services. According to data from OpenAlex, M. Eugénia Captivo has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Industrial and Manufacturing Engineering, 15 papers in Organizational Behavior and Human Resource Management and 9 papers in Emergency Medical Services. Recurrent topics in M. Eugénia Captivo's work include Vehicle Routing Optimization Methods (17 papers), Facility Location and Emergency Management (15 papers) and Advanced Manufacturing and Logistics Optimization (10 papers). M. Eugénia Captivo is often cited by papers focused on Vehicle Routing Optimization Methods (17 papers), Facility Location and Emergency Management (15 papers) and Advanced Manufacturing and Logistics Optimization (10 papers). M. Eugénia Captivo collaborates with scholars based in Portugal, Mexico and Ethiopia. M. Eugénia Captivo's co-authors include João Clı́maco, Inês Marqués, Marta Pascoal, Margarida Vaz Pato, Joana Dias, Isabel Correia, José Craveirinha, José Luís Santos, José Rui Figueira and Francisco Saldanha‐da‐Gama and has published in prestigious journals such as European Journal of Operational Research, Decision Support Systems and Computers & Operations Research.

In The Last Decade

M. Eugénia Captivo

38 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Eugénia Captivo Portugal 19 524 383 304 162 147 39 1.1k
Roberto Aringhieri Italy 20 300 0.6× 268 0.7× 374 1.2× 68 0.4× 203 1.4× 60 1.3k
Patrick Soriano Canada 15 665 1.3× 188 0.5× 169 0.6× 168 1.0× 260 1.8× 28 1.3k
Paola Cappanera Italy 16 419 0.8× 186 0.5× 237 0.8× 48 0.3× 253 1.7× 54 1.1k
Giuliana Carello Italy 19 365 0.7× 196 0.5× 162 0.5× 105 0.6× 215 1.5× 59 1.2k
Nadia Lahrichi Canada 15 741 1.4× 99 0.3× 229 0.8× 208 1.3× 268 1.8× 50 1.2k
J. Theresia van Essen Netherlands 14 178 0.3× 184 0.5× 258 0.8× 68 0.4× 118 0.8× 29 735
İrem Özkarahan Türkiye 18 688 1.3× 165 0.4× 211 0.7× 69 0.4× 743 5.1× 26 1.8k
Yves Pochet Belgium 20 1.4k 2.6× 181 0.5× 116 0.4× 113 0.7× 345 2.3× 30 2.1k
Brigitte Werners Germany 18 191 0.4× 121 0.3× 157 0.5× 40 0.2× 285 1.9× 53 895
Siqian Shen United States 21 205 0.4× 151 0.4× 142 0.5× 121 0.7× 389 2.6× 86 1.5k

Countries citing papers authored by M. Eugénia Captivo

Since Specialization
Citations

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

Fields of papers citing papers by M. Eugénia Captivo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Eugénia Captivo. 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 M. Eugénia Captivo. The network helps show where M. Eugénia Captivo may publish in the future.

Co-authorship network of co-authors of M. Eugénia Captivo

This figure shows the co-authorship network connecting the top 25 collaborators of M. Eugénia Captivo. A scholar is included among the top collaborators of M. Eugénia Captivo 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 M. Eugénia Captivo. M. Eugénia Captivo 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.
Marqués, Inês, et al.. (2018). Optimizing the master surgery schedule in a private hospital. Operations Research for Health Care. 20. 11–24. 25 indexed citations
2.
Marqués, Inês & M. Eugénia Captivo. (2017). Different stakeholders’ perspectives for a surgical case assignment problem: Deterministic and robust approaches. European Journal of Operational Research. 261(1). 260–278. 51 indexed citations
3.
Mateus, Catarina S., Inês Marqués, & M. Eugénia Captivo. (2017). Local search heuristics for a surgical case assignment problem. Operations Research for Health Care. 17. 71–81. 11 indexed citations
4.
Marqués, Inês & M. Eugénia Captivo. (2015). Bicriteria elective surgery scheduling using an evolutionary algorithm. Operations Research for Health Care. 7. 14–26. 30 indexed citations
5.
Captivo, M. Eugénia, Inês Marqués, & Margarida Moz. (2015). ORAHS 2014 - for better practices in health care management. Operations Research for Health Care. 7. 1–2. 1 indexed citations
6.
Craveirinha, José, et al.. (2015). Multiobjective routing in multiservice MPLS networks with traffic splitting — A network flow approach. Journal of Systems Science and Systems Engineering. 24(4). 389–432. 9 indexed citations
7.
Marqués, Inês, M. Eugénia Captivo, & Margarida Vaz Pato. (2014). A bicriteria heuristic for an elective surgery scheduling problem. Health Care Management Science. 18(3). 251–266. 29 indexed citations
8.
Captivo, M. Eugénia, et al.. (2013). A DSS for bicriteria location problems. Decision Support Systems. 57. 224–244. 13 indexed citations
9.
Marqués, Inês, M. Eugénia Captivo, & Margarida Vaz Pato. (2013). Scheduling elective surgeries in a Portuguese hospital using a genetic heuristic. Operations Research for Health Care. 3(2). 59–72. 64 indexed citations
10.
Marqués, Inês, M. Eugénia Captivo, & Margarida Vaz Pato. (2012). EXACT AND HEURISTIC APPROACHES FOR ELECTIVE SURGERY SCHEDULING. 2 indexed citations
11.
Marqués, Inês, M. Eugénia Captivo, & Margarida Vaz Pato. (2011). An integer programming approach to elective surgery scheduling. OR Spectrum. 34(2). 407–427. 97 indexed citations
12.
Captivo, M. Eugénia, et al.. (2010). A GIS embedded decision support system for bicriteria location problems. 271–281. 1 indexed citations
13.
Respício, Ana & M. Eugénia Captivo. (2008). Marketing-production Interface through an Integrated DSS. Journal of Decision System. 17(1). 119–132. 5 indexed citations
14.
Pascoal, Marta, M. Eugénia Captivo, & João Clı́maco. (2007). Computational experiments with a lazy version of a K quickest simple path ranking algorithm. Top. 15(2). 372–382. 9 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.
Dias, Joana, M. Eugénia Captivo, & João Clı́maco. (2006). Capacitated dynamic location problems with opening, closure and reopening of facilities. IMA Journal of Management Mathematics. 17(4). 317–348. 42 indexed citations
17.
Dias, Joana, M. Eugénia Captivo, & João Clı́maco. (2005). Efficient primal-dual heuristic for a dynamic location problem. Computers & Operations Research. 34(6). 1800–1823. 49 indexed citations
18.
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
19.
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
20.
Pascoal, Marta, M. Eugénia Captivo, & João Clı́maco. (2003). An algorithm for ranking quickest simple paths. Computers & Operations Research. 32(3). 509–520. 57 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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