Daniele Manerba

1.4k total citations
41 papers, 1.0k citations indexed

About

Daniele Manerba is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Management Science and Operations Research. According to data from OpenAlex, Daniele Manerba has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Industrial and Manufacturing Engineering, 13 papers in Automotive Engineering and 10 papers in Management Science and Operations Research. Recurrent topics in Daniele Manerba's work include Vehicle Routing Optimization Methods (15 papers), Transportation and Mobility Innovations (12 papers) and Urban and Freight Transport Logistics (10 papers). Daniele Manerba is often cited by papers focused on Vehicle Routing Optimization Methods (15 papers), Transportation and Mobility Innovations (12 papers) and Urban and Freight Transport Logistics (10 papers). Daniele Manerba collaborates with scholars based in Italy, Canada and Iran. Daniele Manerba's co-authors include Renata Mansini, Roberto Tadei, Riccardo Giusti, Guido Perboli, Giorgio Bruno, Marco Pasetti, Stefano Rinaldi, Edoardo Fadda, Michel Gendreau and Olivier Terzo and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and International Journal of Production Economics.

In The Last Decade

Daniele Manerba

38 papers receiving 1.0k citations

Peers

Daniele Manerba

IME

MIS

Javier Panadero Spain

Scott E. Grasman United States

Demetrio Laganà Italy

Fatma Gzara Canada

Yossiri Adulyasak Canada

Erhan Kutanoğlu United States

Canrong Zhang China

Seyed Farid Ghannadpour Iran

Andreas Klose Denmark

Javier Panadero Spain

Daniele Manerba

653 ×1.1

IME

208 ×0.8

258 ×1.4

153 ×0.8

MIS

173 ×1.1

Citations per year, relative to Daniele Manerba Daniele Manerba (= 1×) peers Javier Panadero

Countries citing papers authored by Daniele Manerba

Since Specialization

Citations

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

Fields of papers citing papers by Daniele Manerba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Manerba

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Manerba. A scholar is included among the top collaborators of Daniele Manerba 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 Daniele Manerba. Daniele Manerba 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

Manerba, Daniele, et al.. (2024). Optimizing Attended Home Delivery: Multiple recovery options and customer availability profiles to face synchronization failures. International Journal of Production Economics. 279. 109463–109463.

Fadda, Edoardo, Daniele Manerba, & Roberto Tadei. (2024). How to locate services optimizing redundancy: A comparative analysis of K-Covering Facility Location models. Socio-Economic Planning Sciences. 94. 101938–101938. 1 indexed citations

Manerba, Daniele, et al.. (2022). Hybridizing adaptive large neighborhood search with kernel search: a new solution approach for the nurse routing problem with incompatible services and minimum demand. International Transactions in Operational Research. 30(1). 8–38. 14 indexed citations

Crainic, Teodor Gabriel, Riccardo Giusti, Daniele Manerba, & Roberto Tadei. (2021). The Synchronized Location-Transshipment Problem. Transportation research procedia. 52. 43–50. 16 indexed citations

Giusti, Riccardo, Daniele Manerba, & Roberto Tadei. (2021). Smart Steaming: A New Flexible Paradigm for Synchromodal Logistics. Sustainability. 13(9). 4635–4635. 12 indexed citations

Fadda, Edoardo, et al.. (2020). The Stochastic Multipath Traveling Salesman Problem with Dependent Random Travel Costs. Transportation Science. 54(5). 1372–1387. 7 indexed citations

Giusti, Riccardo, Daniele Manerba, & Roberto Tadei. (2020). Multiperiod transshipment location–allocation problem with flow synchronization under stochastic handling operations. Networks. 78(1). 88–104. 20 indexed citations

Fadda, Edoardo, Daniele Manerba, Gianpiero Cabodi, P. Camurati, & Roberto Tadei. (2020). Comparative analysis of models and performance indicators for optimal service facility location. Transportation Research Part E Logistics and Transportation Review. 145. 102174–102174. 18 indexed citations

Fadda, Edoardo, et al.. (2020). Reinforcement Learning Algorithms for Online Single-Machine Scheduling. SHILAP Revista de lepidopterología. 21. 277–283. 13 indexed citations

10.

Giusti, Riccardo, et al.. (2019). Sustainable and De-Stressed International Supply-Chains Through the SYNCHRO-NET Approach. Sustainability. 11(4). 1083–1083. 49 indexed citations

11.

Tadei, Roberto, Guido Perboli, & Daniele Manerba. (2019). The multi-stage dynamic stochastic decision process with unknown distribution of the random utilities. Optimization Letters. 14(5). 1207–1218. 6 indexed citations

12.

Manerba, Daniele, et al.. (2019). A Kernel Search for a Patient Satisfaction-oriented Nurse Routing Problem with Time-Windows. IFAC-PapersOnLine. 52(13). 1669–1674. 11 indexed citations

13.

Manerba, Daniele, et al.. (2019). Optimal paths in multi-stage stochastic decision networks. Operations Research Perspectives. 6. 100124–100124. 7 indexed citations

14.

Baldi, Mauro Maria, Daniele Manerba, Guido Perboli, & Roberto Tadei. (2018). A Generalized Bin Packing Problem for parcel delivery in last-mile logistics. European Journal of Operational Research. 274(3). 990–999. 62 indexed citations

15.

Manerba, Daniele & Guido Perboli. (2018). New solution approaches for the capacitated supplier selection problem with total quantity discount and activation costs under demand uncertainty. Computers & Operations Research. 101. 29–42. 28 indexed citations

16.

Manerba, Daniele, Renata Mansini, & Jorge Riera‐Ledesma. (2016). The Traveling Purchaser Problem and its variants. European Journal of Operational Research. 259(1). 1–18. 48 indexed citations

17.

Manerba, Daniele & Renata Mansini. (2014). A branch‐and‐cut algorithm for the multi‐vehicle traveling purchaser problem with pairwise incompatibility constraints. Networks. 65(2). 139–154. 37 indexed citations

18.

Manerba, Daniele & Renata Mansini. (2013). Multi-Vehicle Traveling Purchaser Problem with Exclusionary Side Constraints. Institutional Research Information System (Università degli Studi di Brescia). 1 indexed citations

19.

Bruni, Maria Elena, Patrizia Beraldi, Daniele Manerba, & Renata Mansini. (2012). The Traveling Purchaser Problem Under Uncertainty. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1 indexed citations

20.

Manerba, Daniele & Renata Mansini. (2012). The Capacitated Traveling Purchaser Problem with Total Quantity Discount. Institutional Research Information System (Università degli Studi di Brescia). 5 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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