Countries citing papers authored by Marco Chiarandini
Since
Specialization
Citations
This map shows the geographic impact of Marco Chiarandini'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 Marco Chiarandini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Chiarandini more than expected).
Fields of papers citing papers by Marco Chiarandini
This network shows the impact of papers produced by Marco Chiarandini. 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 Marco Chiarandini. The network helps show where Marco Chiarandini may publish in the future.
Co-authorship network of co-authors of Marco Chiarandini
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Chiarandini.
A scholar is included among the top collaborators of Marco Chiarandini 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 Marco Chiarandini. Marco Chiarandini is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Djenouri, Youcef, Arthur Zimek, & Marco Chiarandini. (2018). Outlier Detection in Urban Traffic Flow Distributions. University of Southern Denmark Research Portal (University of Southern Denmark). 935–940.33 indexed citations
Chiarandini, Marco, et al.. (2011). A local search heuristic for chromatic sum. University of Southern Denmark Research Portal (University of Southern Denmark).9 indexed citations
Fawcett, Chris, Holger H. Hoos, & Marco Chiarandini. (2009). An automatically configured modular algorithm for post enrollment course timetabling. University of Southern Denmark Research Portal (University of Southern Denmark).4 indexed citations
Chiarandini, Marco, Thomas Stützle, & Kim G. Larsen. (2006). Colour reassignment in tabu search for the graph set T-colouring problem. Lecture notes in computer science. 162–177.1 indexed citations
13.
Gaspero, Luca Di, Marco Chiarandini, & Andrea Schaerf. (2006). A Study on the Short-Term Prohibition Mechanisms in Tabu Search. University of Southern Denmark Research Portal (University of Southern Denmark). 83–87.1 indexed citations
Chiarandini, Marco, Dario Basso, & Thomas Stützle. (2005). Statistical methods for the comparison of stochastic optimizers. University of Southern Denmark Research Portal (University of Southern Denmark). 189–196.7 indexed citations
16.
Bianchi, Leonora, Mauro Birattari, Marco Chiarandini, et al.. (2004). Metaheuristics for the vehicle routing problem with stochastic demands. Lecture notes in computer science. 3242. 450–460.3 indexed citations
17.
Sampels, Michaël, Mauro Birattari, Marco Chiarandini, et al.. (2003). A comparison of the performance of different metaheuristics on the timetabling problem. Lecture notes in computer science. 2740. 329–351.101 indexed citations
18.
Chiarandini, Marco, Mauro Birattari, Krzysztof Socha, & Olivia Rossi-Doria. (2003). An effective hybrid approach for the university course timetabling problem. University of Southern Denmark Research Portal (University of Southern Denmark).14 indexed citations
19.
Chiarandini, Marco, et al.. (2002). Experimental Evaluation of Course Timetabling Algorithms.3 indexed citations
20.
Paquete, Luís, Marco Chiarandini, & Thomas Stützle. (2002). A Study of Local Optima in the Biobjective Travelling Salesman Problem. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles).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.