Michele Borassi
Impact in
-
- Complex Network Analysis Techniques
-
- Advanced Graph Theory Research
- Complexity and Algorithms in Graphs
- Topological and Geometric Data Analysis
Papers in
-
- Complex Network Analysis Techniques 6
-
- Advanced Graph Theory Research 3
- Topological and Geometric Data Analysis 2
- Co-authors
- Pierluigi Crescenzi (7 shared papers)Emanuele Natale (2 shared papers)Michel Habib (3 shared papers)Andrea Marino (6 shared papers)Alessandro Chessa (1 shared paper)Walter A. Kosters (2 shared papers)Guido Caldarelli (1 shared paper)Frank W. Takes (2 shared papers)
- Journals
- Theoretical Computer Science (1 paper)Bioinformatics (1 paper)ACM Transactions on Knowledge Discovery from Data (1 paper)Lecture notes in computer science (3 papers)ACM Journal of Experimental Algorithmics (1 paper)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Michele Borassi
13 papers receiving 188 citations
Peers
Comparison fields: 5 of 38
- Statistical and Nonlinear Physics 89
- Computational Theory and Mathematics 79
- Geometry and Topology 30
- Discrete Mathematics and Combinatorics 10
- Computer Networks and Communications 56
Countries citing papers authored by Michele Borassi
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
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-authors
The 24 scholars most cited alongside Michele Borassi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 38 | |
| 2 | 2016 | 34 | |
| 3 | 2015 | 29 | |
| 4 | 2015 | 21 | |
| 5 | 2019 | 16 | |
| 6 | 2015 | 13 | |
| 7 | 2014 | 13 | |
| 8 | 2013 | 11 | |
| 9 | 2019 | 11 | |
| 10 | 2016 | 3 | |
| 11 | Sliding Window Algorithms for k-Clustering Problems | 2020 | 1 |
| 12 | 2016 | 1 | |
| 13 | 2013 | 1 |
About Michele Borassi
Michele Borassi is a scholar working on Statistical and Nonlinear Physics, Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications and Discrete Mathematics and Combinatorics, having authored 13 papers that have together received 192 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Advanced Graph Theory Research (3 papers), Graph theory and applications (2 papers), Limits and Structures in Graph Theory (2 papers), Data Management and Algorithms (2 papers), Topological and Geometric Data Analysis (2 papers), Artificial Intelligence in Games (1 paper) and Facility Location and Emergency Management (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (89 citations), Computational Theory and Mathematics (79 citations), Geometry and Topology (30 citations), Discrete Mathematics and Combinatorics (10 citations) and Computer Networks and Communications (56 citations). Michele Borassi has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Pierluigi Crescenzi, Emanuele Natale, Michel Habib, Andrea Marino, Alessandro Chessa, Walter A. Kosters, Guido Caldarelli, Frank W. Takes, David Coudert and Henning Meyerhenke. Their work appears in journals such as Theoretical Computer Science, Bioinformatics, ACM Transactions on Knowledge Discovery from Data, Lecture notes in computer science and ACM Journal of Experimental Algorithmics.
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.