Alessandro Panconesi

5.7k total citations · 1 hit paper
99 papers, 3.0k citations indexed

About

Alessandro Panconesi is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Alessandro Panconesi has authored 99 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Networks and Communications, 44 papers in Computational Theory and Mathematics and 23 papers in Artificial Intelligence. Recurrent topics in Alessandro Panconesi's work include Complexity and Algorithms in Graphs (41 papers), Advanced Graph Theory Research (28 papers) and Optimization and Search Problems (27 papers). Alessandro Panconesi is often cited by papers focused on Complexity and Algorithms in Graphs (41 papers), Advanced Graph Theory Research (28 papers) and Optimization and Search Problems (27 papers). Alessandro Panconesi collaborates with scholars based in Italy, United States and Germany. Alessandro Panconesi's co-authors include Devdatt Dubhashi, Aravind Srinivasan, Flavio Chierichetti, Silvio Lattanzi, Stefano Leonardi, David A. Grable, Roméo Rizzi, Ravi Kumar, Aldo Gangemi and Chiara Petrioli and has published in prestigious journals such as Journal of the ACM, SIAM Journal on Computing and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Alessandro Panconesi

94 papers receiving 2.9k citations

Hit Papers

Concentration of Measure for the Analysis of Randomized A... 2009 2026 2014 2020 2009 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessandro Panconesi Italy 29 1.6k 996 978 556 301 99 3.0k
Shlomo Moran Israel 25 1.4k 0.9× 1.1k 1.1× 1.0k 1.0× 308 0.6× 196 0.7× 117 3.1k
Paul G. Spirakis Greece 26 1.5k 1.0× 434 0.4× 469 0.5× 209 0.4× 275 0.9× 260 2.7k
Andrew McGregor United States 26 1.0k 0.6× 593 0.6× 1.3k 1.3× 178 0.3× 343 1.1× 82 2.3k
William Aiello United States 25 1.3k 0.8× 281 0.3× 846 0.9× 616 1.1× 103 0.3× 50 2.4k
Allan Borodin Canada 33 2.9k 1.9× 2.0k 2.0× 1.4k 1.4× 203 0.4× 211 0.7× 105 5.2k
Amos Fiat Israel 34 2.8k 1.8× 903 0.9× 1.5k 1.5× 126 0.2× 611 2.0× 116 4.7k
Giuseppe Di Battista Italy 24 976 0.6× 841 0.8× 677 0.7× 392 0.7× 1.7k 5.8× 167 3.6k
Ziv Bar-Yossef Israel 27 1.2k 0.7× 443 0.4× 1.1k 1.1× 301 0.5× 186 0.6× 43 2.4k
David Zuckerman United States 31 1.2k 0.7× 1.7k 1.7× 1.8k 1.8× 101 0.2× 327 1.1× 96 3.5k
Rolf Niedermeier Germany 31 1.1k 0.7× 2.5k 2.5× 863 0.9× 225 0.4× 146 0.5× 200 3.7k

Countries citing papers authored by Alessandro Panconesi

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Panconesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Panconesi

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Panconesi. A scholar is included among the top collaborators of Alessandro Panconesi 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 Alessandro Panconesi. Alessandro Panconesi 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.
Re, Giuseppe, et al.. (2024). About Latent Roles in Forecasting Players in Team Sports. Neural Processing Letters. 56(2).
2.
Chierichetti, Flavio, et al.. (2021). Online Facility Location with Multiple Advice. IRIS Research product catalog (Sapienza University of Rome). 34. 1 indexed citations
3.
Gangemi, Aldo, Stefano Leonardi, & Alessandro Panconesi. (2015). Proceedings of the 24th International Conference on World Wide Web. 152 indexed citations
4.
Alvisi, Lorenzo, Allen Clement, Alessandro Epasto, Silvio Lattanzi, & Alessandro Panconesi. (2013). SoK: The Evolution of Sybil Defense via Social Networks. IRIS Research product catalog (Sapienza University of Rome). 382–396. 96 indexed citations
5.
Chierichetti, Flavio, Silvio Lattanzi, & Alessandro Panconesi. (2010). Rumor spreading in social networks. Theoretical Computer Science. 412(24). 2602–2610. 94 indexed citations
6.
Lodi, Andrea, Alessandro Panconesi, & Giovanni Rinaldi. (2008). Proceedings of the 13th international conference on Integer programming and combinatorial optimization. 3 indexed citations
7.
Lodi, Andrea, Alessandro Panconesi, & Giovanni Rinaldi. (2008). Integer programming and combinatorial optimization : 13th International Conference, IPCO 2008, Bertinoro, Italy, May 26-28, 2008 : proceedings. DIAL (Catholic University of Leuven). 2 indexed citations
8.
Panconesi, Alessandro. (2007). Fast distributed algorithms via primal-dual. 225. 1–6. 1 indexed citations
9.
Dubhashi, Devdatt, Alessandro Mei, Alessandro Panconesi, Jaikumar Radhakrishnan, & Aravind Srinivasan. (2005). Fast distributed algorithms for (weakly) connected dominating sets and linear-size skeletons. Journal of Computer and System Sciences. 71(4). 467–479. 41 indexed citations
10.
Olivieri, Gregorio, et al.. (2005). Transcriptional Response of Human Umbilical Vein Endothelial Cells to Low Doses of Ionizing Radiation. Journal of Radiation Research. 46(2). 265–276. 42 indexed citations
11.
Finocchi, Irene, Alessandro Panconesi, & Riccardo Silvestri. (2002). Experimental analysis of simple, distributed vertex coloring algorithms. Symposium on Discrete Algorithms. 606–615. 26 indexed citations
12.
Marathe, Madhav, et al.. (2000). An experimental study of a simple, distributed edge coloring algorithm. 166–175. 13 indexed citations
13.
Hańćkowiak, Michał, Michał Karoński, & Alessandro Panconesi. (1998). On the distributed complexity of computing maximal matchings. Symposium on Discrete Algorithms. 219–225. 18 indexed citations
14.
Grable, David A. & Alessandro Panconesi. (1998). Fast distributed algorithms for Brooks-Vizing colourings. Symposium on Discrete Algorithms. 37(1). 473–480. 9 indexed citations
15.
Dubhashi, Devdatt, David A. Grable, & Alessandro Panconesi. (1998). Near-optimal, distributed edge colouring via the nibble method. Theoretical Computer Science. 203(2). 225–251. 32 indexed citations
16.
Kann, Viggo, Sanjeev Khanna, Jens Lagergren, & Alessandro Panconesi. (1997). On the Hardness of Approximating Max k-Cut and Its Dual. 1997. 61–67. 44 indexed citations
17.
Grable, David A. & Alessandro Panconesi. (1997). Nearly optimal distributed edge colouring in O(log log n) rounds. Symposium on Discrete Algorithms. 278–285. 33 indexed citations
18.
Panconesi, Alessandro & Desh Ranjan. (1993). Quantifiers and approximation. Theoretical Computer Science. 107(1). 145–163. 36 indexed citations
19.
Panconesi, Alessandro & Aravind Srinivasan. (1992). Fast Randomized Algorithms for Distributed Edge Coloring (Extended Abstract).. 251–262.
20.
Panconesi, Alessandro & Desh Ranjan. (1990). Quantifiers and Approximation (Abstract).. 244. 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.

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