Mario Enea

45 papers receiving 1.4k citations

Peers

Mario Enea
Comparison fields: 5 of 113
  • Industrial and Manufacturing Engineering 447
  • Management Science and Operations Research 401
  • Building and Construction 250
  • Statistics, Probability and Uncertainty 99
  • Industrial and Manufacturing Engineering 113
Replace Mohammad Khalilzadeh with:
Mohammad Khalilzadeh Iran
Mangey Ram India
Hasan Selim Türkiye
Farnaz Barzinpour Iran
Ali Ebadi Torkayesh Türkiye
Hossein Zolfagharinia Canada
Seyed Mohammad Seyedhosseini Iran
Nasrin Asgari United Kingdom
Vahidreza Ghezavati Iran
Carlos Francısco Sımões Gomes Brazil
Mario Enea relative to Mohammad Khalilzadeh Iran Mohammad Khalilzadeh's profile →
Citations per field
00.5×10×20×29.3×
Mohammad Khalilzadeh · 1×
Citations per year

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-authors

The 23 scholars most cited alongside Mario Enea, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mario Enea Line = papers co-authored together Mario Enea links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004162
2 2001114
3 2006106
4 2017103
5 201595
6 201295
7 201486
8 201069
9 201359
10 200756
11 200551
12 200850
13 201340
14 201639
15 200136
16 200835
17 201633
18 200832
19 200228
20 201220

About Mario Enea

Mario Enea is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research, Building and Construction, Food Science and Control and Systems Engineering, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Manufacturing and Logistics Optimization (13 papers), Multi-Criteria Decision Making (10 papers), BIM and Construction Integration (6 papers), Optimization and Packing Problems (6 papers), Food Supply Chain Traceability (6 papers), Food Waste Reduction and Sustainability (5 papers), Risk and Safety Analysis (3 papers) and Sustainable Supply Chain Management (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (447 citations), Management Science and Operations Research (401 citations), Building and Construction (250 citations), Statistics, Probability and Uncertainty (99 citations) and Industrial and Manufacturing Engineering (113 citations). Mario Enea has collaborated with scholars based in Italy, Spain and Argentina. Frequent co-authors include Giacomo Maria Galante, Giuseppe Aiello, Giada La Scalia, Antonella Certa, Tommaso Piazza, Cinzia Muriana, Giuseppe Salemi, Concetta Manuela La Fata, Rosa Micale and Pietro Zito. Their work appears in journals such as International Journal of Production Research, Journal of Intelligent Manufacturing, Waste Management, Expert Systems with Applications and Robotics and Computer-Integrated Manufacturing.

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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