Michele Borassi

433 total citations
9 papers, 127 citations indexed

About

Michele Borassi is a scholar working on Statistical and Nonlinear Physics, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Michele Borassi has authored 9 papers receiving a total of 127 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistical and Nonlinear Physics, 4 papers in Computational Theory and Mathematics and 3 papers in Computer Networks and Communications. Recurrent topics in Michele Borassi's work include Complex Network Analysis Techniques (4 papers), Advanced Graph Theory Research (3 papers) and Limits and Structures in Graph Theory (2 papers). Michele Borassi is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Advanced Graph Theory Research (3 papers) and Limits and Structures in Graph Theory (2 papers). Michele Borassi collaborates with scholars based in Italy, France and United States. Michele Borassi's co-authors include Emanuele Natale, Pierluigi Crescenzi, Michel Habib, Andrea Marino, Guido Caldarelli, Alessandro Chessa, Frank W. Takes, Walter A. Kosters, Henning Meyerhenke and Alessandro Epasto and has published in prestigious journals such as Bioinformatics, Theoretical Computer Science and Information Processing Letters.

In The Last Decade

Michele Borassi

9 papers receiving 125 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michele Borassi Italy	7	63	43	35	34	22	9	127
Nicolas Hanusse France	5	19 0.3×	47 1.1×	24 0.7×	46 1.4×	4 0.2×	16	122
Florian Sikora France	7	21 0.3×	53 1.2×	23 0.7×	22 0.6×	4 0.2×	15	101
Emmanuelle Lebhar France	7	45 0.7×	38 0.9×	18 0.5×	116 3.4×	5 0.2×	13	163
Tiphaine Viard France	4	77 1.2×	26 0.6×	41 1.2×	61 1.8×	29 1.3×	6	156
Anisur Rahaman Molla India	7	46 0.7×	35 0.8×	47 1.3×	85 2.5×	12 0.5×	27	150
Nikos Parotsidis Italy	6	50 0.8×	48 1.1×	34 1.0×	64 1.9×	13 0.6×	26	133
Adrian Vladu United States	6	19 0.3×	63 1.5×	44 1.3×	34 1.0×	11 0.5×	12	120
Konstantin Kutzkov Denmark	6	67 1.1×	25 0.6×	47 1.3×	42 1.2×	18 0.8×	13	123
Kyle Kloster United States	6	168 2.7×	30 0.7×	136 3.9×	47 1.4×	29 1.3×	8	249
Kolja Knauer France	8	18 0.3×	118 2.7×	12 0.3×	33 1.0×	15 0.7×	43	165

Countries citing papers authored by Michele Borassi

Since Specialization

Citations

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

Fields of papers citing papers by Michele Borassi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Borassi

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Borassi. A scholar is included among the top collaborators of Michele Borassi 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 Michele Borassi. Michele Borassi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Borassi, Michele, et al.. (2019). Computing top- k Closeness Centrality Faster in Unweighted Graphs. ACM Transactions on Knowledge Discovery from Data. 13(5). 1–40. 11 indexed citations

Borassi, Michele, Alessandro Epasto, Silvio Lattanzi, Sergei Vassilvitskii, & Morteza Zadimoghaddam. (2019). Better Sliding Window Algorithms to Maximize Subadditive and Diversity Objectives. 254–268. 6 indexed citations

Borassi, Michele & Emanuele Natale. (2019). KADABRA is an ADaptive Algorithm for Betweenness via Random Approximation. ACM Journal of Experimental Algorithmics. 24. 1–35. 33 indexed citations

Borassi, Michele. (2016). A note on the complexity of computing the number of reachable vertices in a digraph. Information Processing Letters. 116(10). 628–630. 1 indexed citations

Borassi, Michele & Emanuele Natale. (2016). KADABRA is an ADaptive Algorithm for Betweenness via Random Approximation. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 2 indexed citations

Borassi, Michele, Pierluigi Crescenzi, & Michel Habib. (2016). Into the Square: On the Complexity of Some Quadratic-time Solvable Problems. Electronic Notes in Theoretical Computer Science. 322. 51–67. 23 indexed citations

Borassi, Michele, Alessandro Chessa, & Guido Caldarelli. (2015). Hyperbolicity measures democracy in real-world networks. Physical Review E. 92(3). 32812–32812. 18 indexed citations

Borassi, Michele, Pierluigi Crescenzi, Michel Habib, et al.. (2015). Fast diameter and radius BFS-based computation in (weakly connected) real-world graphs. Theoretical Computer Science. 586. 59–80. 23 indexed citations

Klein, Cecília C., Ludovic Cottret, Vicente Acuña, et al.. (2013). Telling metabolic stories to explore metabolomics data: a case study on the yeast response to cadmium exposure. Bioinformatics. 30(1). 61–70. 10 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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