Luca Versari

465 total citations
17 papers, 172 citations indexed

About

Luca Versari is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Luca Versari has authored 17 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Luca Versari's work include Advanced Graph Theory Research (4 papers), Algorithms and Data Compression (4 papers) and Graph Theory and Algorithms (3 papers). Luca Versari is often cited by papers focused on Advanced Graph Theory Research (4 papers), Algorithms and Data Compression (4 papers) and Graph Theory and Algorithms (3 papers). Luca Versari collaborates with scholars based in Italy, Switzerland and Japan. Luca Versari's co-authors include Roberto Grossi, Alessio Conte, Andrea Marino, Thomas Fischbacher, Krzysztof Potempa, Jon Sneyers, Sebastián Gómez, Zoltán Szabadka, Daniele De Sensi and Marinella Sciortino and has published in prestigious journals such as IEEE Access, Frontiers in Neuroscience and SIAM Journal on Computing.

In The Last Decade

Luca Versari

16 papers receiving 168 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luca Versari Italy	9	85	50	32	28	26	17	172
Mohammed Bakiri Algeria	7	90 1.1×	57 1.1×	32 1.0×	59 2.1×	25 1.0×	12	188
P. Mathivanan India	11	195 2.3×	41 0.8×	24 0.8×	24 0.9×	9 0.3×	30	244
C. E. Veni Madhavan India	9	65 0.8×	112 2.2×	38 1.2×	50 1.8×	68 2.6×	38	234
Urs Köster United States	7	97 1.1×	80 1.6×	46 1.4×	9 0.3×	11 0.4×	8	236
Mustafa Cem KASAPBAŞI Türkiye	5	208 2.4×	66 1.3×	49 1.5×	43 1.5×	6 0.2×	22	289
Kei Ohnishi Japan	7	36 0.4×	52 1.0×	8 0.3×	27 1.0×	53 2.0×	55	162
Dipanjan Sengupta Canada	11	80 0.9×	72 1.4×	12 0.4×	17 0.6×	93 3.6×	19	263
Huaijun Qiu China	4	112 1.3×	85 1.7×	33 1.0×	36 1.3×	11 0.4×	9	204
Lingxiao Zhao United States	6	69 0.8×	106 2.1×	8 0.3×	11 0.4×	25 1.0×	15	180
Nishant A. Mehta United States	6	32 0.4×	84 1.7×	14 0.4×	12 0.4×	29 1.1×	16	181

Countries citing papers authored by Luca Versari

Since Specialization

Citations

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

Fields of papers citing papers by Luca Versari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Versari

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

All Works

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17 of 17 papers shown

Versari, Luca, et al.. (2025). Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion. 23259–23268.

Conte, Alessio, Roberto Grossi, Andrea Marino, Takeaki Uno, & Luca Versari. (2022). Proximity Search for Maximal Subgraph Enumeration. SIAM Journal on Computing. 51(5). 1580–1625. 5 indexed citations

Versari, Luca, et al.. (2021). Spiking Autoencoders With Temporal Coding. Frontiers in Neuroscience. 15. 712667–712667. 10 indexed citations

Randazzo, Ettore, Luca Versari, & Alexander Mordvintsev. (2021). Recursively Fertile Self-replicating Neural Agents. 2 indexed citations

Versari, Luca, et al.. (2020). Zuckerli: A New Compressed Representation for Graphs. CINECA IRIS Institutial research information system (University of Pisa). 4 indexed citations

Conte, Alessio, Daniele De Sensi, Roberto Grossi, Andrea Marino, & Luca Versari. (2020). Truly Scalable K-Truss and Max-Truss Algorithms for Community Detection in Graphs. IEEE Access. 8. 139096–139109. 8 indexed citations

Ebrahimi, Touradj, et al.. (2020). Benchmarking JPEG XL image compression. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 32–32. 15 indexed citations

Potempa, Krzysztof, et al.. (2020). Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function. arXiv (Cornell University). 8529–8533. 12 indexed citations

Conte, Alessio, Roberto Grossi, Andrea Marino, Lorenzo Tattini, & Luca Versari. (2019). A fast discovery algorithm for large common connected induced subgraphs. Discrete Applied Mathematics. 268. 210–222. 1 indexed citations

10.

Szabadka, Zoltán, Thomas Fischbacher, Sebastián Gómez, et al.. (2019). JPEG XL next-generation image compression architecture and coding tools. 20–20. 66 indexed citations

11.

Conte, Alessio, Roberto Grossi, Andrea Marino, & Luca Versari. (2019). Sublinear-Space and Bounded-Delay Algorithms for Maximal Clique Enumeration in Graphs. Algorithmica. 82(6). 1547–1573. 12 indexed citations

12.

Conte, Alessio, Roberto Grossi, Andrea Marino, & Luca Versari. (2019). Listing Maximal Subgraphs Satisfying Strongly Accessible Properties. SIAM Journal on Discrete Mathematics. 33(2). 587–613. 8 indexed citations

13.

Conte, Alessio, Daniele De Sensi, Roberto Grossi, Andrea Marino, & Luca Versari. (2018). Discovering <tex>$k$</tex>-Trusses in Large-Scale Networks. CINECA IRIS Institutial research information system (University of Pisa). 16. 1–6. 5 indexed citations

14.

Fantozzi, Paolo, et al.. (2018). Learning Analytics in Competitive Programming Training Systems. IRIS Research product catalog (Sapienza University of Rome). 6. 321–325. 3 indexed citations

15.

Grossi, Roberto, Costas S. Iliopoulos, Chang Liu, et al.. (2017). On-Line Pattern Matching on Similar Texts. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 5 indexed citations

16.

Mantaci, Sabrina, Antonio Restivo, Giovanna Rosone, Marinella Sciortino, & Luca Versari. (2017). Measuring the clustering effect of BWT via RLE. Theoretical Computer Science. 698. 79–87. 8 indexed citations

17.

Laura, Luigi, et al.. (2016). oii-web: an Interactive Online Programming Contest Training System. IRIS Research product catalog (Sapienza University of Rome). 10(1). 207–222. 8 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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