R. Gamberini

416 total citations
10 papers, 309 citations indexed

About

R. Gamberini is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Industrial and Manufacturing Engineering. According to data from OpenAlex, R. Gamberini has authored 10 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Industrial and Manufacturing Engineering, 2 papers in Management Information Systems and 2 papers in Industrial and Manufacturing Engineering. Recurrent topics in R. Gamberini's work include Advanced Manufacturing and Logistics Optimization (5 papers), Scheduling and Optimization Algorithms (4 papers) and Assembly Line Balancing Optimization (4 papers). R. Gamberini is often cited by papers focused on Advanced Manufacturing and Logistics Optimization (5 papers), Scheduling and Optimization Algorithms (4 papers) and Assembly Line Balancing Optimization (4 papers). R. Gamberini collaborates with scholars based in Italy and United Kingdom. R. Gamberini's co-authors include Francesco Lolli, Alessio Ishizaka, Alberto Regattieri, Andrea Grassi, Elisa Gebennini, Bianca Rimini, Elia Balugani, Riccardo Manzini, Cristina Mora and Cesare Fantuzzi and has published in prestigious journals such as International Journal of Production Economics, International Journal of Production Research and International Journal of Logistics Research and Applications.

In The Last Decade

R. Gamberini

10 papers receiving 290 citations

Peers

R. Gamberini

MSOR

IME

MIS

SM

CSE

Mithun J. Sharma India

Hamidreza Abbasianjahromi Iran

Leyla Demir Türkiye

Erkan Köse Türkiye

Bojan Matić Serbia

Fatma Betül Yeni Türkiye

Dragan Lazarević Serbia

Serpil Erol Türkiye

Ehsan Eshtehardian Iran

Jônatas Araújo de Almeida Brazil

Mithun J. Sharma India

R. Gamberini

135 ×1.0

MSOR

80 ×0.7

IME

57 ×1.1

MIS

73 ×1.7

SM

24 ×0.8

CSE

Citations per year, relative to R. Gamberini R. Gamberini (= 1×) peers Mithun J. Sharma

Countries citing papers authored by R. Gamberini

Since Specialization

Citations

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

Fields of papers citing papers by R. Gamberini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Gamberini

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

All Works

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10 of 10 papers shown

1.

Ishizaka, Alessio, et al.. (2018). DEASort: Assigning items with data envelopment analysis in ABC classes. International Journal of Production Economics. 199. 7–15. 48 indexed citations

2.

Lolli, Francesco, Elia Balugani, R. Gamberini, & Bianca Rimini. (2017). Stochastic assembly line balancing with learning effects. IFAC-PapersOnLine. 50(1). 5706–5711. 6 indexed citations

3.

Gamberini, R., et al.. (2017). On the Analysis of Effectiveness in a Manufacturing Cell: A Critical Implementation of Existing Approaches. Procedia Manufacturing. 11. 1882–1891. 14 indexed citations

4.

Gamberini, R., et al.. (2016). The waste hierarchy: a strategic, tactical and operational approach for developing countries. the case study of mozambique. International Journal of Sustainable Development and Planning. 11(5). 759–770. 27 indexed citations

5.

Lolli, Francesco, Alessio Ishizaka, & R. Gamberini. (2014). New AHP-based approaches for multi-criteria inventory classification. International Journal of Production Economics. 156. 62–74. 119 indexed citations

6.

Gamberini, R., et al.. (2012). RE-DESIGNING MANUFACTURING AREAS DEDICATED TO HEAVY AND VOLUMINOUS PRODUCTS. IFAC Proceedings Volumes. 45(6). 399–406. 1 indexed citations

7.

Gamberini, R., Elisa Gebennini, Andrea Grassi, & Alberto Regattieri. (2009). A multiple single-pass heuristic algorithm solving the stochastic assembly line rebalancing problem. International Journal of Production Research. 47(8). 2141–2164. 68 indexed citations

8.

Regattieri, Alberto, R. Gamberini, Francesco Lolli, & Riccardo Manzini. (2009). Designing production and service systems using queuing theory: principles and application to an airport passenger security screening system. International Journal of Services and Operations Management. 6(2). 206–206. 17 indexed citations

9.

Gamberini, R., Andrea Grassi, Cristina Mora, & Bianca Rimini. (2008). An innovative approach for optimizing warehouse capacity utilization. International Journal of Logistics Research and Applications. 11(2). 137–165. 8 indexed citations

10.

Grassi, Andrea, et al.. (2007). Complex Packaging Line Modelling and Simulation. Proceedings - IEEE International Conference on Robotics and Automation/Proceedings. 93. 2946–2950. 1 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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