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.
Ant system: optimization by a colony of cooperating agents
19968.1k citationsMarco Dorigo, Vittorio Maniezzo et al.profile →
Countries citing papers authored by Vittorio Maniezzo
Since
Specialization
Citations
This map shows the geographic impact of Vittorio Maniezzo'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 Vittorio Maniezzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vittorio Maniezzo more than expected).
Fields of papers citing papers by Vittorio Maniezzo
This network shows the impact of papers produced by Vittorio Maniezzo. 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 Vittorio Maniezzo. The network helps show where Vittorio Maniezzo may publish in the future.
Co-authorship network of co-authors of Vittorio Maniezzo
This figure shows the co-authorship network connecting the top 25 collaborators of Vittorio Maniezzo.
A scholar is included among the top collaborators of Vittorio Maniezzo 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 Vittorio Maniezzo. Vittorio Maniezzo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Boschetti, Marco Antonio, Adam N. Letchford, & Vittorio Maniezzo. (2023). Matheuristics: survey and synthesis. International Transactions in Operational Research. 30(6). 2840–2866.12 indexed citations
Balaprakash, Prasanna, Mauro Birattari, Thomas Stützle, et al.. (2007). An experimental study of estimation-based metaheuristics for the probabilistic traveling salesman problem. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles).3 indexed citations
Boschetti, Marco Antonio, et al.. (2005). A Fully Distributed Lagrangean Metaheuristic for a P2P Overlay Network Design Problem. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 150–151.2 indexed citations
12.
Maniezzo, Vittorio, et al.. (2004). Algorithms for large directed CARP instances: Urban solid waste collection operational support.15 indexed citations
13.
Maniezzo, Vittorio, Marco Antonio Boschetti, & Márk Jelasity. (2004). An ant approach to membership overlay design ? Results on the dynamic global setting. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 37–48.2 indexed citations
Maniezzo, Vittorio, et al.. (1995). Algodesk: an experimental comparison of eight evolutionary heuristics applied to the QAP. European Journal of Operational Research. 81.3 indexed citations
Colorni, Alberto, Marco Dorigo, Vittorio Maniezzo, Francisco J. Varela, & Paul Bourgine. (1992). Distributed Optimization by Ant Colonies. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 134–142.1743 indexed citations breakdown →
19.
Colorni, Alberto, Marco Dorigo, Vittorio Maniezzo, Reinhard Männer, & Bernard Manderick. (1992). An Investigation of Some Properties of an Ant Algorithm. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 509–520.232 indexed citations
20.
Colorni, Alberto, Marco Dorigo, & Vittorio Maniezzo. (1990). Genetic Algorithms and Highly Constrained Problems: The Time-Table Case. Lecture notes in computer science. 496. 55–59.11 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.