Mario Ventresca

2.4k citations
72 papers · 1.9k · 2 hit papers · h-index 22

Impact in

Papers in

Mario Ventresca

63 papers receiving 1.8k citations

Mario Ventresca's Hit Papers

Multiple traveling salesman problem with drones: Mathematical model and heuristic approach 2019 · 292 citations
2920+5+10Years since publication100200300400

Peers

Mario Ventresca
Comparison fields: 5 of 122
  • Industrial and Manufacturing Engineering 421
  • Computational Theory and Mathematics 405
  • Artificial Intelligence 802
  • Statistical and Nonlinear Physics 243
  • Automotive Engineering 116
Replace Wanliang Wang with:
Wanliang Wang China
Oleg A. Prokopyev United States
Xiaohu Shi China
Lianbo Ma China
Huaqiang Yuan China
Xiangtao Li China
Pei‐Wei Tsai China
Kewei Yang China
Hanning Chen China
Carlos Cotta Spain
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Citations per year

Countries citing papers authored by Mario Ventresca

Since Specialization
Citations

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

Fields of papers citing papers by Mario Ventresca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mario Ventresca, 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 Ventresca Line = papers co-authored together Mario Ventresca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Enhancing particle swarm optimization using generalized opposition-based learning
Hit paper breakdown →
2011424
2
Multiple traveling salesman problem with drones: Mathematical model and heuristic approach
Hit paper breakdown →
2019292
3 2004112
4 200682
5 201281
6 201270
7 201253
8 200749
9 201548
10 202047
11 201347
12 200845
13 201437
14 200735
15 201331
16 200630
17 201728
18 200826
19 202123
20 200923

About Mario Ventresca

Mario Ventresca is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Molecular Biology and Civil and Structural Engineering, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (21 papers), Evolutionary Algorithms and Applications (9 papers), Neural Networks and Applications (8 papers), Metaheuristic Optimization Algorithms Research (7 papers), Infrastructure Maintenance and Monitoring (6 papers), Neural dynamics and brain function (6 papers), Opinion Dynamics and Social Influence (6 papers) and Functional Brain Connectivity Studies (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (421 citations), Computational Theory and Mathematics (405 citations), Artificial Intelligence (802 citations), Statistical and Nonlinear Physics (243 citations) and Automotive Engineering (116 citations). Mario Ventresca has collaborated with scholars based in United States, Canada and Jordan. Frequent co-authors include Hamid R. Tizhoosh, Shahryar Rahnamayan, Dionne M. Aleman, Yong Liu, Zhijian Wu, Hui Wang, Beatrice M. Ombuki, J. M. A. Tanchoco, Mohammad Moshref‐Javadi and Seokcheon Lee. Their work appears in journals such as Journal of Computing in Civil Engineering, Computers & Operations Research, PLoS ONE, Information Sciences and Applied Soft Computing.

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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