Mario Ventresca

2.4k total citations · 2 hit papers
56 papers, 1.7k citations indexed

About

Mario Ventresca is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Civil and Structural Engineering. According to data from OpenAlex, Mario Ventresca has authored 56 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 16 papers in Statistical and Nonlinear Physics and 8 papers in Civil and Structural Engineering. Recurrent topics in Mario Ventresca's work include Complex Network Analysis Techniques (14 papers), Evolutionary Algorithms and Applications (8 papers) and Infrastructure Maintenance and Monitoring (6 papers). Mario Ventresca is often cited by papers focused on Complex Network Analysis Techniques (14 papers), Evolutionary Algorithms and Applications (8 papers) and Infrastructure Maintenance and Monitoring (6 papers). Mario Ventresca collaborates with scholars based in United States, Canada and Jordan. Mario Ventresca's co-authors include Hamid R. Tizhoosh, Shahryar Rahnamayan, Dionne M. Aleman, Hui Wang, Zhijian Wu, Yong Liu, Beatrice M. Ombuki, J. M. A. Tanchoco, Mohammad Moshref‐Javadi and Seokcheon Lee and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Journal of Operational Research.

In The Last Decade

Mario Ventresca

50 papers receiving 1.6k citations

Hit Papers

Enhancing particle swarm optimization using generalized o... 2011 2026 2016 2021 2011 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Enhancing particle swarm optimization using generalized opposition-based learning
    2011 394 citations Mario Ventresca et al. profile →
  2. Multiple traveling salesman problem with drones: Mathematical model and heuristic approach
    2019 272 citations Mario Ventresca et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Ventresca United States 20 741 387 359 207 191 56 1.7k
Carlos Cotta Spain 17 978 1.3× 384 1.0× 440 1.2× 62 0.3× 211 1.1× 112 1.8k
Lianbo Ma China 26 912 1.2× 200 0.5× 503 1.4× 90 0.4× 449 2.4× 119 2.1k
Wanliang Wang China 26 660 0.9× 631 1.6× 424 1.2× 95 0.5× 402 2.1× 166 2.4k
Kewei Yang China 22 348 0.5× 342 0.9× 101 0.3× 173 0.8× 173 0.9× 118 1.5k
Oleg A. Prokopyev United States 25 253 0.3× 261 0.7× 441 1.2× 55 0.3× 249 1.3× 127 2.0k
Huaqiang Yuan China 24 951 1.3× 203 0.5× 488 1.4× 150 0.7× 533 2.8× 75 2.2k
Hanning Chen China 26 701 0.9× 203 0.5× 359 1.0× 220 1.1× 196 1.0× 123 2.0k
William M. Spears United States 19 1.1k 1.4× 139 0.4× 408 1.1× 146 0.7× 628 3.3× 44 2.2k
Shih-Hsi Liu United States 14 1.3k 1.8× 201 0.5× 717 2.0× 52 0.3× 173 0.9× 40 2.0k
Meng‐Hiot Lim Singapore 15 941 1.3× 252 0.7× 499 1.4× 85 0.4× 166 0.9× 32 1.5k

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-authorship network of co-authors of Mario Ventresca

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Ventresca. A scholar is included among the top collaborators of Mario Ventresca 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 Ventresca. Mario Ventresca 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.
Ventresca, Mario, et al.. (2024). How individuals’ opinions influence society’s resistance to epidemics: an agent-based model approach. BMC Public Health. 24(1). 863–863.
2.
Ray, Abhishek, et al.. (2023). Optimal resource allocation to minimize errors when detecting human trafficking. IISE Transactions. 56(3). 325–339. 1 indexed citations
3.
Ventresca, Mario, et al.. (2022). Examining Supervised Machine Learning Methods for Integer Link Weight Prediction Using Node Metadata. Entropy. 24(6). 842–842. 4 indexed citations
4.
Ventresca, Mario, et al.. (2022). Modeling the spread of the Zika virus by sexual and mosquito transmission. PLoS ONE. 17(12). e0270127–e0270127. 4 indexed citations
5.
Ventresca, Mario, et al.. (2022). Multi-season transmission model of Eastern Equine Encephalitis. PLoS ONE. 17(8). e0272130–e0272130. 2 indexed citations
6.
Ray, Abhishek, Mario Ventresca, & Karthik Kannan. (2021). A Graph-Based Ant Algorithm for the Winner Determination Problem in Combinatorial Auctions. Information Systems Research. 32(4). 1099–1114. 4 indexed citations
7.
Wan, Hong, et al.. (2021). Social Influence Network Simulation Design Affects Behavior of Aggregated Entropy. IEEE Transactions on Computational Social Systems. 9(2). 594–604.
8.
Abbas, Kausar, Enrico Amico, Alan D. Kaplan, et al.. (2021). Geodesic Distance on Optimally Regularized Functional Connectomes Uncovers Individual Fingerprints. Brain Connectivity. 11(5). 333–348. 17 indexed citations
9.
Amico, Enrico, et al.. (2021). Toward an information theoretical description of communication in brain networks. Network Neuroscience. 5(3). 1–20. 23 indexed citations
10.
Yih, Yuehwern, et al.. (2020). Improving neighbor-based collaborative filtering by using a hybrid similarity measurement. Expert Systems with Applications. 160. 113651–113651. 42 indexed citations
11.
Ventresca, Mario, et al.. (2020). Examining the variability in network populations and its role in generative models. Network Science. 8(S1). S43–S64.
12.
Ray, Abhishek, Mario Ventresca, & Hong Wan. (2018). A Mechanism Design Approach to Blockchain Protocols. 1603–1608. 2 indexed citations
13.
Ventresca, Mario, et al.. (2017). Action-based Modeling of Complex Networks. Scientific Reports. 7(1). 6673–6673. 13 indexed citations
14.
Ventresca, Mario, Kyle Robert Harrison, & Beatrice Ombuki-Berman. (2017). The bi-objective critical node detection problem. European Journal of Operational Research. 265(3). 895–908. 26 indexed citations
15.
Kandil, Amr, et al.. (2017). New Multiobjective Optimization Approach to Rehabilitate and Maintain Sewer Networks Based on Whole Lifecycle Behavior. Journal of Computing in Civil Engineering. 32(1). 14 indexed citations
16.
Kandil, Amr, et al.. (2016). Multi-Objective Optimization Algorithm for Sewer Network Rehabilitation Using Life Cycle Cost Analysis and Semi-Markov Deterioration Models. Construction Research Congress 2016. 2089–2099. 5 indexed citations
17.
Ventresca, Mario & Dionne M. Aleman. (2015). Efficiently identifying critical nodes in large complex networks. TSpace. 2(1). 43 indexed citations
18.
Ventresca, Mario & Dionne M. Aleman. (2013). A derandomized approximation algorithm for the critical node detection problem. Computers & Operations Research. 43. 261–270. 41 indexed citations
19.
Lelic, Alina, Chris P. Verschoor, Mario Ventresca, et al.. (2012). The Polyfunctionality of Human Memory CD8+ T Cells Elicited by Acute and Chronic Virus Infections Is Not Influenced by Age. PLoS Pathogens. 8(12). e1003076–e1003076. 66 indexed citations
20.
Tizhoosh, Hamid R., et al.. (2008). Oppositional Concepts in Computational Intelligence. Studies in computational intelligence. 52 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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