Elia Balugani

1.0k total citations
33 papers, 735 citations indexed

About

Elia Balugani is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering and Management Information Systems. According to data from OpenAlex, Elia Balugani has authored 33 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Management Science and Operations Research, 9 papers in Industrial and Manufacturing Engineering and 5 papers in Management Information Systems. Recurrent topics in Elia Balugani's work include Forecasting Techniques and Applications (7 papers), Multi-Criteria Decision Making (6 papers) and Manufacturing Process and Optimization (5 papers). Elia Balugani is often cited by papers focused on Forecasting Techniques and Applications (7 papers), Multi-Criteria Decision Making (6 papers) and Manufacturing Process and Optimization (5 papers). Elia Balugani collaborates with scholars based in Italy, Brazil and United Kingdom. Elia Balugani's co-authors include Francesco Lolli, Rita Gamberini, Bianca Rimini, Maria Angela Butturi, Alessio Ishizaka, Miguel Afonso Sellitto, Alberto Regattieri, Fabio Sgarbossa, Mirco Peron and R. Gamberini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Applied Energy.

In The Last Decade

Elia Balugani

32 papers receiving 704 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elia Balugani Italy 14 222 191 189 147 79 33 735
Aijun Liu China 15 188 0.8× 146 0.8× 290 1.5× 143 1.0× 58 0.7× 48 700
Pierre Baptiste Canada 22 139 0.6× 565 3.0× 191 1.0× 164 1.1× 89 1.1× 95 1.2k
Mohsen Akbarpour Shirazi Iran 13 165 0.7× 207 1.1× 193 1.0× 137 0.9× 50 0.6× 25 1.1k
Nebojša Bojović Serbia 16 176 0.8× 223 1.2× 109 0.6× 68 0.5× 31 0.4× 50 771
Guozhu Jia China 14 265 1.2× 228 1.2× 274 1.4× 88 0.6× 31 0.4× 46 1.1k
Babak Mohamadpour Tosarkani Canada 13 138 0.6× 122 0.6× 443 2.3× 189 1.3× 42 0.5× 36 772
Berk Ayvaz Türkiye 13 183 0.8× 94 0.5× 258 1.4× 65 0.4× 64 0.8× 51 640
Abhijeet K. Digalwar India 18 173 0.8× 111 0.6× 412 2.2× 232 1.6× 220 2.8× 47 1.1k
Ernesto Mastrocinque United Kingdom 13 86 0.4× 155 0.8× 176 0.9× 86 0.6× 70 0.9× 21 605
Andrei Sleptchenko United Arab Emirates 17 107 0.5× 146 0.8× 180 1.0× 332 2.3× 116 1.5× 60 853

Countries citing papers authored by Elia Balugani

Since Specialization
Citations

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

Fields of papers citing papers by Elia Balugani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elia Balugani

This figure shows the co-authorship network connecting the top 25 collaborators of Elia Balugani. A scholar is included among the top collaborators of Elia Balugani 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 Elia Balugani. Elia Balugani 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
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Lolli, Francesco, et al.. (2023). Order Picking Problem: A Model for the Joint Optimisation of Order Batching, Batch Assignment Sequencing, and Picking Routing. SHILAP Revista de lepidopterología. 7(3). 61–61. 3 indexed citations
4.
Balugani, Elia, et al.. (2022). Spare parts management with Additive Manufacturing (AM): a critical review. IFAC-PapersOnLine. 55(10). 1159–1164. 7 indexed citations
5.
Lolli, Francesco, et al.. (2022). The Indoor Environmental Quality: A TOPSIS-based approach with indirect elicitation of criteria weights. Safety Science. 148. 105652–105652. 13 indexed citations
6.
Lolli, Francesco, et al.. (2022). A Decision Support System for the Selection of Insulating Material in Energy Retrofit of Industrial Buildings: A New Robust Ordinal Regression Approach. IEEE Transactions on Engineering Management. 71. 2077–2088. 8 indexed citations
7.
Balugani, Elia, Francesco Lolli, Martina Pini, et al.. (2021). Dimensionality reduced robust ordinal regression applied to life cycle assessment. Expert Systems with Applications. 178. 115021–115021. 9 indexed citations
8.
Marinello, Samuele, Elia Balugani, & Rita Gamberini. (2021). Coffee capsule impacts and recovery techniques: A literature review. Packaging Technology and Science. 34(11-12). 665–682. 12 indexed citations
9.
Butturi, Maria Angela, et al.. (2020). A model for renewable energy symbiosis networks in eco-industrial parks. IFAC-PapersOnLine. 53(2). 13137–13142. 9 indexed citations
10.
Sgarbossa, Fabio, Mirco Peron, Francesco Lolli, & Elia Balugani. (2020). Conventional or additive manufacturing for spare parts management: An extensive comparison for Poisson demand. International Journal of Production Economics. 233. 107993–107993. 68 indexed citations
11.
Pini, Martina, Francesco Lolli, Elia Balugani, et al.. (2019). Preparation for reuse activity of waste electrical and electronic equipment: Environmental performance, cost externality and job creation. Journal of Cleaner Production. 222. 77–89. 49 indexed citations
12.
Lolli, Francesco, Elia Balugani, Rita Gamberini, & Bianca Rimini. (2019). Quality cost-based allocation of training hours using learning-forgetting curves. Computers & Industrial Engineering. 131. 552–564. 7 indexed citations
13.
Lolli, Francesco, Elia Balugani, Rita Gamberini, Bianca Rimini, & Vivien Rossi. (2018). A human-machine learning curve for stochastic assembly line balancing problems. IFAC-PapersOnLine. 51(11). 1186–1191. 3 indexed citations
14.
Lolli, Francesco, Elia Balugani, Alessio Ishizaka, et al.. (2018). On the elicitation of criteria weights in PROMETHEE-based ranking methods for a mobile application. Expert Systems with Applications. 120. 217–227. 42 indexed citations
15.
Sellitto, Miguel Afonso, Elia Balugani, Rita Gamberini, & Bianca Rimini. (2018). A Fuzzy Logic Control application to the Cement Industry. IFAC-PapersOnLine. 51(11). 1542–1547. 12 indexed citations
16.
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
17.
Lolli, Francesco, Alessio Ishizaka, Rita Gamberini, Elia Balugani, & Bianca Rimini. (2017). Decision Trees for Supervised Multi-criteria Inventory Classification. Procedia Manufacturing. 11. 1871–1881. 17 indexed citations
18.
Lolli, Francesco, et al.. (2017). Requalifying public buildings and utilities using a group decision support system. Journal of Cleaner Production. 164. 1081–1092. 23 indexed citations
19.
Ishizaka, Alessio, Francesco Lolli, Rita Gamberini, Bianca Rimini, & Elia Balugani. (2017). AHP-K-GDSS: A new sorting method based on AHP for group decisions. IRIS UNIMORE (University of Modena and Reggio Emilia). 1–5. 4 indexed citations
20.
Lolli, Francesco, et al.. (2016). Single-hidden layer neural networks for forecasting intermittent demand. International Journal of Production Economics. 183. 116–128. 90 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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