Sara Ceschia

1.1k total citations
37 papers, 670 citations indexed

About

Sara Ceschia is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Sara Ceschia has authored 37 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Industrial and Manufacturing Engineering, 18 papers in Management Science and Operations Research and 9 papers in Computer Networks and Communications. Recurrent topics in Sara Ceschia's work include Vehicle Routing Optimization Methods (19 papers), Scheduling and Timetabling Solutions (17 papers) and Advanced Manufacturing and Logistics Optimization (7 papers). Sara Ceschia is often cited by papers focused on Vehicle Routing Optimization Methods (19 papers), Scheduling and Timetabling Solutions (17 papers) and Advanced Manufacturing and Logistics Optimization (7 papers). Sara Ceschia collaborates with scholars based in Italy, Austria and Belgium. Sara Ceschia's co-authors include Andrea Schaerf, Luca Di Gaspero, Antonella Meneghetti, Thomas Stützle, Patrick De Causmaecker, Ruggero Bellio, Rosita Guido, Simona Mancini, Margaretha Gansterer and Nysret Musliu and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Journal of the Operational Research Society.

In The Last Decade

Sara Ceschia

35 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Ceschia Italy 15 368 282 180 75 56 37 670
Broos Maenhout Belgium 18 555 1.5× 737 2.6× 174 1.0× 85 1.1× 49 0.9× 53 994
Fouad Riane Belgium 15 429 1.2× 147 0.5× 204 1.1× 72 1.0× 40 0.7× 45 800
Şeyda Topaloğlu Türkiye 20 887 2.4× 367 1.3× 116 0.6× 58 0.8× 102 1.8× 40 1.2k
Sharif H. Melouk United States 11 383 1.0× 92 0.3× 94 0.5× 42 0.6× 65 1.2× 27 666
Thierry Garaix France 11 335 0.9× 131 0.5× 116 0.6× 48 0.6× 17 0.3× 32 539
Philippe De Bruecker Belgium 9 675 1.8× 656 2.3× 118 0.7× 28 0.4× 28 0.5× 17 983
Talal M. Alkhamis Kuwait 13 171 0.5× 210 0.7× 215 1.2× 98 1.3× 55 1.0× 24 694
D. J. Medeiros United States 16 339 0.9× 160 0.6× 62 0.3× 32 0.4× 46 0.8× 53 637
Jorne Van den Bergh Belgium 8 649 1.8× 650 2.3× 117 0.7× 28 0.4× 27 0.5× 13 941
Soemon Takakuwa Japan 14 304 0.8× 143 0.5× 151 0.8× 65 0.9× 27 0.5× 74 604

Countries citing papers authored by Sara Ceschia

Since Specialization
Citations

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

Fields of papers citing papers by Sara Ceschia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Ceschia

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Ceschia. A scholar is included among the top collaborators of Sara Ceschia 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 Sara Ceschia. Sara Ceschia 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.
Ceschia, Sara, et al.. (2025). Multi-neighborhood simulated annealing for the integrated patient-to-room and nurse-to-patient assignment problem. Flexible Services and Manufacturing Journal.
2.
Ceschia, Sara, et al.. (2025). A unified formulation for home healthcare routing and scheduling problems. International Transactions in Operational Research.
3.
Ceschia, Sara, et al.. (2024). EasyLocal++ a 25-year Perspective on Local Search Frameworks. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1658–1667. 2 indexed citations
4.
Montemanni, Roberto, Sara Ceschia, & Andrea Schaerf. (2024). A compact model for the home healthcare routing and scheduling problem. SHILAP Revista de lepidopterología. 13. 100101–100101. 3 indexed citations
5.
Ceschia, Sara, Margaretha Gansterer, Simona Mancini, & Antonella Meneghetti. (2024). Solving the Online On-Demand Warehousing Problem. Computers & Operations Research. 170. 106760–106760. 2 indexed citations
6.
Ceschia, Sara, et al.. (2024). Multi‐neighborhood simulated annealing for the home healthcare routing and scheduling problem. International Transactions in Operational Research. 33(1). 38–67. 5 indexed citations
7.
Ceschia, Sara & Andrea Schaerf. (2023). Multi-neighborhood simulated annealing for the capacitated facility location problem with customer incompatibilities. Computers & Industrial Engineering. 188. 109858–109858. 4 indexed citations
8.
Carlsson, Mats, et al.. (2023). Exact and metaheuristic methods for a real-world examination timetabling problem. Journal of Scheduling. 26(4). 353–367. 5 indexed citations
9.
Ceschia, Sara, Kevin Roitero, Gianluca Demartini, et al.. (2022). Task design in complex crowdsourcing experiments: Item assignment optimization. Computers & Operations Research. 148. 105995–105995. 6 indexed citations
10.
Ceschia, Sara, Luca Di Gaspero, & Andrea Schaerf. (2022). Educational Timetabling: Problems, Benchmarks, and State-of-the-Art Results. arXiv (Cornell University). 25 indexed citations
11.
Bellio, Ruggero, Sara Ceschia, Luca Di Gaspero, & Andrea Schaerf. (2021). Two-stage multi-neighborhood simulated annealing for uncapacitated examination timetabling. Computers & Operations Research. 132. 105300–105300. 30 indexed citations
12.
Ceschia, Sara, et al.. (2019). Modelling and solving the thesis defense timetabling problem. Journal of the Operational Research Society. 70(7). 1039–1050. 9 indexed citations
13.
Ceschia, Sara, et al.. (2018). Modeling and solving the steelmaking and casting scheduling problem. International Transactions in Operational Research. 27(1). 57–90. 20 indexed citations
14.
Ceschia, Sara, et al.. (2018). The Second International Nurse Rostering Competition. Annals of Operations Research. 274(1-2). 171–186. 32 indexed citations
15.
Ceschia, Sara, et al.. (2014). The second International Nurse Rostering Competition. Lirias (KU Leuven). 554–556. 4 indexed citations
16.
Ceschia, Sara, Luca Di Gaspero, & Andrea Schaerf. (2013). The generalized balanced academic curriculum problem with heterogeneous classes. Annals of Operations Research. 218(1). 147–163. 3 indexed citations
17.
Ceschia, Sara, Andrea Schaerf, & Thomas Stützle. (2013). Local search techniques for a routing-packing problem. Computers & Industrial Engineering. 66(4). 1138–1149. 47 indexed citations
18.
Ceschia, Sara & Andrea Schaerf. (2012). Modeling and solving the dynamic patient admission scheduling problem under uncertainty. Artificial Intelligence in Medicine. 56(3). 199–205. 58 indexed citations
19.
Ceschia, Sara & Andrea Schaerf. (2011). Local search for a multi-drop multi-container loading problem. Journal of Heuristics. 19(2). 275–294. 43 indexed citations
20.
Ceschia, Sara & Andrea Schaerf. (2011). Local search and lower bounds for the patient admission scheduling problem. Computers & Operations Research. 38(10). 1452–1463. 70 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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