Inês Marqués

764 total citations
24 papers, 527 citations indexed

About

Inês Marqués is a scholar working on Emergency Medical Services, Emergency Medicine and Management Science and Operations Research. According to data from OpenAlex, Inês Marqués has authored 24 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Emergency Medical Services, 9 papers in Emergency Medicine and 8 papers in Management Science and Operations Research. Recurrent topics in Inês Marqués's work include Healthcare Operations and Scheduling Optimization (15 papers), Hospital Admissions and Outcomes (9 papers) and Scheduling and Timetabling Solutions (6 papers). Inês Marqués is often cited by papers focused on Healthcare Operations and Scheduling Optimization (15 papers), Hospital Admissions and Outcomes (9 papers) and Scheduling and Timetabling Solutions (6 papers). Inês Marqués collaborates with scholars based in Portugal, Italy and Belgium. Inês Marqués's co-authors include M. Eugénia Captivo, Margarida Vaz Pato, Pedro M. Castro, Ana Paula Barbosa‐Póvoa, Jeroen Beliën, Ángel Ruiz, Natalia Kliewer, Válerie Bélanger, Catarina S. Mateus and Filippo Visintin and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Inês Marqués

23 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inês Marqués Portugal 14 375 188 174 171 119 24 527
Frédéric Grimaud France 6 327 0.9× 131 0.7× 156 0.9× 140 0.8× 111 0.9× 27 438
J. Theresia van Essen Netherlands 14 258 0.7× 171 0.9× 94 0.5× 118 0.7× 178 1.5× 29 735
P. Ladet France 7 265 0.7× 89 0.5× 97 0.6× 123 0.7× 207 1.7× 37 472
Nikky Kortbeek Netherlands 10 494 1.3× 220 1.2× 96 0.6× 146 0.9× 63 0.5× 19 582
Gerhard Wullink Netherlands 11 698 1.9× 296 1.6× 274 1.6× 269 1.6× 163 1.4× 15 811
Aïda Jebali France 14 380 1.0× 147 0.8× 136 0.8× 183 1.1× 316 2.7× 26 809
Éric Marcon France 15 620 1.7× 245 1.3× 321 1.8× 201 1.2× 222 1.9× 37 957
Fouad Riane Belgium 15 204 0.5× 72 0.4× 84 0.5× 147 0.9× 429 3.6× 45 800
Christine Di Martinelly France 8 202 0.5× 65 0.3× 81 0.5× 135 0.8× 73 0.6× 14 299
John T. Blake Canada 15 787 2.1× 281 1.5× 284 1.6× 269 1.6× 137 1.2× 43 1.1k

Countries citing papers authored by Inês Marqués

Since Specialization
Citations

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

Fields of papers citing papers by Inês Marqués

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inês Marqués

This figure shows the co-authorship network connecting the top 25 collaborators of Inês Marqués. A scholar is included among the top collaborators of Inês Marqués 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 Inês Marqués. Inês Marqués 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.
Yalçındağ, Semih, et al.. (2021). A discrete‐event simulation model for analysing and improving operations in a blood donation centre. Vox Sanguinis. 116(10). 1060–1075. 8 indexed citations
2.
Visintin, Filippo, et al.. (2021). Flexible master surgery scheduling: combining optimization and simulation in a rolling horizon approach. Flexible Services and Manufacturing Journal. 34(4). 824–858. 11 indexed citations
3.
Marqués, Inês, et al.. (2021). Blood inventory management: Ordering policies for hospital blood banks under uncertainty. International Transactions in Operational Research. 30(1). 273–301. 23 indexed citations
4.
Marqués, Inês, et al.. (2021). Designing master surgery schedules with downstream unit integration via stochastic programming. European Journal of Operational Research. 299(3). 834–852. 15 indexed citations
5.
Kliewer, Natalia, et al.. (2020). Fair shift change penalization scheme for nurse rescheduling problems. European Journal of Operational Research. 284(3). 1121–1135. 14 indexed citations
6.
Leung, Janny, et al.. (2019). A graph-based formulation for the shift rostering problem. European Journal of Operational Research. 284(1). 285–300. 2 indexed citations
7.
Bélanger, Válerie, et al.. (2019). Assessing the impact of patient prioritization on operating room schedules. Operations Research for Health Care. 24. 100232–100232. 18 indexed citations
8.
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
9.
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
10.
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
11.
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
12.
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
13.
Marqués, Inês, et al.. (2015). Developing compact course timetables with optimized student flows. European Journal of Operational Research. 251(2). 651–661. 28 indexed citations
14.
Castro, Pedro M. & Inês Marqués. (2015). Operating room scheduling with Generalized Disjunctive Programming. Computers & Operations Research. 64. 262–273. 34 indexed citations
15.
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
16.
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
17.
Marqués, Inês, M. Eugénia Captivo, & Margarida Vaz Pato. (2012). EXACT AND HEURISTIC APPROACHES FOR ELECTIVE SURGERY SCHEDULING. 2 indexed citations
18.
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
19.
Marqués, Inês, M. Eugénia Captivo, & Margarida Vaz Pato. (2009). Planning elective surgeries Analysis and comparison in a real case. University of Lisbon Repository (University of Lisbon). 1 indexed citations
20.
Marqués, Inês, et al.. (2006). Referral to secondary care. SHILAP Revista de lepidopterología. 2 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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