Nadia Lahrichi

1.7k total citations · 1 hit paper
50 papers, 1.2k citations indexed

About

Nadia Lahrichi is a scholar working on Emergency Medical Services, Industrial and Manufacturing Engineering and Management Science and Operations Research. According to data from OpenAlex, Nadia Lahrichi has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Emergency Medical Services, 20 papers in Industrial and Manufacturing Engineering and 16 papers in Management Science and Operations Research. Recurrent topics in Nadia Lahrichi's work include Healthcare Operations and Scheduling Optimization (21 papers), Vehicle Routing Optimization Methods (17 papers) and Scheduling and Timetabling Solutions (10 papers). Nadia Lahrichi is often cited by papers focused on Healthcare Operations and Scheduling Optimization (21 papers), Vehicle Routing Optimization Methods (17 papers) and Scheduling and Timetabling Solutions (10 papers). Nadia Lahrichi collaborates with scholars based in Canada, United States and Italy. Nadia Lahrichi's co-authors include Michel Gendreau, Walter Rei, Teodor Gabriel Crainic, Thibaut Vidal, Louis-Martin Rousseau, Antoine Legrain, Alain Hertz, Marie-Andrée Fortin, Renaud Masson and Marino Widmer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Nadia Lahrichi

49 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Hybrid Genetic Algorithm for Multidepot and Periodic Vehicle Routing Problems

2012 471 citations Michel Gendreau, Nadia Lahrichi et al. profile →

Peers

Countries citing papers authored by Nadia Lahrichi

Since Specialization

Citations

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

Fields of papers citing papers by Nadia Lahrichi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Lahrichi

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Lahrichi. A scholar is included among the top collaborators of Nadia Lahrichi 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 Nadia Lahrichi. Nadia Lahrichi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A parking incentive allocation problem for ridesharing systems 2024 ·Transportation Research Part C Emerging Technologies ·(unknown), Bernard Gendron, Nadia Lahrichi	0
2	Learning tabu search algorithms: A scheduling application 2024 ·Computers & Operations Research ·(unknown), Nadia Lahrichi, Andrea Lodi	4
3	Automated screening of potential organ donors using a temporal machine learning model 2023 ·Scientific Reports ·(unknown), (unknown), François Martin Carrier, Michaël Sauthier, Louis Mullie, Héloïse Cardinal, Marie‐Chantal Fortin, Nadia Lahrichi, Michaël Chassé	3
4	On integrating patient appointment grids and technologist schedules in a radiology center 2022 ·Health Care Management Science ·(unknown), Nadia Lahrichi, Louis-Martin Rousseau	3
5	Identification of the intraoperative antinociceptive effect of intravenous fentanyl using the Nociception Level (NOL) index versus clinical parameters in patients undergoing gynecological laparoscopic surgery: A secondary analysis of the NOLGYN study 2022 ·Anaesthesia Critical Care & Pain Medicine ·(unknown), (unknown), (unknown), (unknown), Céline Gélinas, Mathieu Nadeau‐Vallée, Olivier Verdonck, Nadia Lahrichi, Philippe Richebé	5
6	Prediction of acute postoperative pain based on intraoperative nociception level (NOL) index values: the impact of machine learning-based analysis 2022 ·Journal of Clinical Monitoring and Computing ·(unknown), Mathieu Nadeau‐Vallée, Fabien Espitalier, (unknown), (unknown), Nadia Lahrichi, Céline Gélinas, Olivier Verdonck, Philippe Richebé	16
7	Joint robust optimization of bed capacity, nurse staffing, and care access under uncertainty 2022 ·Annals of Operations Research ·(unknown), (unknown), Nadia Lahrichi, James C. Benneyan	8
8	Planning for resilience in screening operations using discrete event simulation modeling: example of HPV testing in Peru 2022 ·SHILAP Revista de lepidopterología ·Anne F. Rositch, (unknown), Nadia Lahrichi, Valerie A. Paz‐Soldán, (unknown), Patti E. Gravitt, Erica Gralla	1
9	Supporting scale-up of COVID-19 RT-PCR testing processes with discrete event simulation 2021 ·PLoS ONE ·(unknown), Patti E. Gravitt, Jacques Ravel, Nadia Lahrichi, Erica Gralla	9
10	Radiotherapy treatment scheduling considering time window preferences 2020 ·Health Care Management Science ·(unknown), Derya Demirtas, Jeroen B. van de Kamer, Erwin W. Hans, Louis-Martin Rousseau, Nadia Lahrichi, Wim H. van Harten	9
11	Integrating DVH criteria into a column generation algorithm for VMAT treatment planning 2019 ·Physics in Medicine and Biology ·Mehdi Mahnam, Michel Gendreau, Nadia Lahrichi, Louis-Martin Rousseau	4
12	Chemotherapy appointment scheduling and daily outpatient–nurse assignment 2019 ·Health Care Management Science ·(unknown), Nadia Lahrichi, Louis-Martin Rousseau	28
13	Patient scheduling based on a service-time prediction model: a data-driven study for a radiotherapy center 2018 ·Health Care Management Science ·(unknown), Nadia Lahrichi, Louis-Martin Rousseau	29
14	A stochastic tabu search algorithm to align physician schedule with patient flow 2017 ·Health Care Management Science ·(unknown), Nadia Lahrichi	12
15	Simultaneous delivery time and aperture shape optimization for the volumetric-modulated arc therapy (VMAT) treatment planning problem 2017 ·Physics in Medicine and Biology ·Mehdi Mahnam, Michel Gendreau, Nadia Lahrichi, Louis-Martin Rousseau	12
16	High efficiency endocrine operation protocol: From design to implementation 2016 ·Surgery ·Marco A. Mascarella, Nadia Lahrichi, (unknown), Simcha J. Kleiman, Richard J. Payne, Lawrence Rosenberg	4
17	Online stochastic optimization of radiotherapy patient scheduling 2014 ·Health Care Management Science ·Antoine Legrain, Marie-Andrée Fortin, Nadia Lahrichi, Louis-Martin Rousseau	38
18	The Nurse Scheduling Problem in Real-Life 2014 ·Journal of Medical Systems ·Antoine Legrain, (unknown), Nadia Lahrichi	48
19	A Patient Assignment Algorithm for Home Care Services 2006 ·PolyPublie (École Polytechnique de Montréal) ·Alain Hertz, Nadia Lahrichi	1
20	Analysis of a territorial approach to the delivery of nursing home care services based on historical data 2006 ·Journal of Medical Systems ·Nadia Lahrichi, Sophie D. Lapierre, Alain Hertz, (unknown), (unknown)	18

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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