Mario Enea

1.9k total citations
46 papers, 1.4k citations indexed

About

Mario Enea is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Building and Construction. According to data from OpenAlex, Mario Enea has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Industrial and Manufacturing Engineering, 11 papers in Management Science and Operations Research and 9 papers in Building and Construction. Recurrent topics in Mario Enea's work include Advanced Manufacturing and Logistics Optimization (13 papers), Multi-Criteria Decision Making (10 papers) and BIM and Construction Integration (6 papers). Mario Enea is often cited by papers focused on Advanced Manufacturing and Logistics Optimization (13 papers), Multi-Criteria Decision Making (10 papers) and BIM and Construction Integration (6 papers). Mario Enea collaborates with scholars based in Italy, Spain and Argentina. Mario Enea's co-authors include Giacomo Maria Galante, Giuseppe Aiello, Antonella Certa, Giada La Scalia, Cinzia Muriana, Giuseppe Salemi, Concetta Manuela La Fata, Rosa Micale, Maria Berrittella and Pietro Zito and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Waste Management.

In The Last Decade

Mario Enea

45 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Enea Italy 20 445 399 248 208 185 46 1.4k
Emad Roghanian Iran 17 205 0.5× 420 1.1× 144 0.6× 67 0.3× 463 2.5× 67 1.1k
Mladen Krstić Serbia 19 499 1.1× 370 0.9× 327 1.3× 47 0.2× 348 1.9× 86 1.2k
Junhu Ruan China 24 420 0.9× 130 0.3× 224 0.9× 152 0.7× 297 1.6× 79 1.8k
Emilio Jiménez Macías Spain 25 297 0.7× 205 0.5× 192 0.8× 76 0.4× 412 2.2× 170 2.3k
Antonio Rizzi Italy 17 262 0.6× 429 1.1× 75 0.3× 230 1.1× 367 2.0× 45 1.4k
Farnaz Barzinpour Iran 22 525 1.2× 262 0.7× 251 1.0× 60 0.3× 394 2.1× 75 1.4k
Ali Ebadi Torkayesh Türkiye 30 223 0.5× 947 2.4× 220 0.9× 77 0.4× 681 3.7× 52 2.2k
Snežana Tadić Serbia 19 589 1.3× 373 0.9× 419 1.7× 39 0.2× 339 1.8× 95 1.3k
Vahidreza Ghezavati Iran 19 565 1.3× 145 0.4× 212 0.9× 61 0.3× 418 2.3× 78 1.2k
Mohammad Khalilzadeh Iran 21 328 0.7× 894 2.2× 368 1.5× 33 0.2× 480 2.6× 123 1.8k

Countries citing papers authored by Mario Enea

Since Specialization
Citations

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

Fields of papers citing papers by Mario Enea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Enea

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Enea. A scholar is included among the top collaborators of Mario Enea 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 Mario Enea. Mario Enea 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.
Micale, Rosa, Concetta Manuela La Fata, Mario Enea, & Giada La Scalia. (2021). Regenerative scheduling problem in engineer to order manufacturing: an economic assessment. Journal of Intelligent Manufacturing. 32(7). 1913–1925. 6 indexed citations
2.
Enea, Mario, Antonio Giallanza, Giada La Scalia, & Rosa Micale. (2016). Techno-economic analysis of a membrane filtration process for the phenolic compound extraction. 1 indexed citations
3.
Enea, Mario, et al.. (2015). Alternatives to the traditional waste management: Food recovery for human non-profit organizations. 21(3). 215–239. 16 indexed citations
4.
Enea, Mario, Giacomo Maria Galante, Toni Lupo, & Antonella Certa. (2015). A Multi-Criteria Group Decision To Support The Maintenance Service: A Case Study. International Journal of Applied Engineering Research. 10. 1 indexed citations
5.
Certa, Antonella, et al.. (2015). A multi-criteria approach for the group assessment of an academic course: A case study. Studies In Educational Evaluation. 44. 16–22. 10 indexed citations
6.
Scalia, Giada La, Rosa Micale, G. Aiello, & Mario Enea. (2015). An integrated approach for modelling and solving multimode job shop scheduling problem using multi objective genetic algorithm. Nova Science Publishers (Nova Science Publishers, Inc.). 1 indexed citations
7.
Enea, Mario, Antonella Certa, Giada La Scalia, & Rosa Micale. (2015). Ranking of shelf life models based on smart logistic unit using the ELECTRE III method. 10 indexed citations
8.
Aiello, Giuseppe, Mario Enea, & Cinzia Muriana. (2015). The expected value of the traceability information. European Journal of Operational Research. 244(1). 176–186. 93 indexed citations
9.
Enea, Mario, et al.. (2014). Economic benefits from food recovery at the retail stage: An application to Italian food chains. Waste Management. 34(7). 1306–1316. 84 indexed citations
10.
Enea, Mario & Cinzia Muriana. (2014). An AHP-based approach to PMISs assessment. International Journal of Business Environment. 7(1). 32–32. 1 indexed citations
11.
Galante, Giacomo Maria, et al.. (2013). Multi objective genetic algorithms for unequal area facility layout problems: A survey. Nova Science Publishers (Nova Science Publishers, Inc.). 3 indexed citations
12.
Certa, Antonella, Mario Enea, & Toni Lupo. (2013). ELECTRE III to dynamically support the decision maker about the periodic replacements configurations for a multi-component system. Decision Support Systems. 55(1). 126–134. 40 indexed citations
13.
Scalia, Giada La, et al.. (2012). Coverage analysis of RFID indoor localization system for refrigerated warehouses based on 2D-ray tracing. Nova Science Publishers (Nova Science Publishers, Inc.). 3(2). 85–99. 4 indexed citations
14.
Aiello, Giuseppe, Mario Enea, & Cinzia Muriana. (2012). CROSS-DOCKING TRANSSHIPMENT PROBLEM APPROACHED BY NON LINEAR PROGRAMMINGAND SIMULATION ANALYSIS. Nova Science Publishers (Nova Science Publishers, Inc.). 70–79. 1 indexed citations
15.
Galante, Giacomo Maria, et al.. (2010). A multi-objective approach to solid waste management. Waste Management. 30(8-9). 1720–1728. 68 indexed citations
16.
Aiello, Giuseppe, Mario Enea, Giacomo Maria Galante, & Giada La Scalia. (2008). Clean Agent Selection Approached by Fuzzy TOPSIS Decision-Making Method. Fire Technology. 45(4). 405–418. 35 indexed citations
17.
Certa, Antonella, Mario Enea, Giacomo Maria Galante, & Concetta Manuela La Fata. (2008). Multi-objective human resources allocation in R&D projects planning. International Journal of Production Research. 47(13). 3503–3523. 50 indexed citations
18.
Berrittella, Maria, Antonella Certa, Mario Enea, & Pietro Zito. (2008). Transport policy and climate change: How to decide when experts disagree. Environmental Science & Policy. 11(4). 307–314. 31 indexed citations
19.
Sulong, N.H. Ramli, et al.. (2006). Evolutionary Electronics: Automatic Design of Electronic Circuit and Systems by Genetic Algorithms.. 3 indexed citations
20.
Aiello, Giuseppe, et al.. (2005). A multi-objective approach to facility layout problem by genetic search and Electre method. Nova Science Publishers (Nova Science Publishers, Inc.). 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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