Marco Patella

3.5k total citations · 1 hit paper
51 papers, 2.0k citations indexed

About

Marco Patella is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Marco Patella has authored 51 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Signal Processing, 24 papers in Computer Vision and Pattern Recognition and 16 papers in Computer Networks and Communications. Recurrent topics in Marco Patella's work include Data Management and Algorithms (30 papers), Advanced Image and Video Retrieval Techniques (21 papers) and Image Retrieval and Classification Techniques (16 papers). Marco Patella is often cited by papers focused on Data Management and Algorithms (30 papers), Advanced Image and Video Retrieval Techniques (21 papers) and Image Retrieval and Classification Techniques (16 papers). Marco Patella collaborates with scholars based in Italy and Greece. Marco Patella's co-authors include Paolo Ciaccia, Pavel Zezula, Ilaria Bartolini, Riccardo Manzini, Riccardo Accorsi, Fausto Rabitti, Matteo Golfarelli, Stefano Ceri, Barbara Catania and Elisa Bertino and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, BMC Bioinformatics and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Marco Patella

48 papers receiving 1.8k citations

Hit Papers

M-tree: An Efficient Access Method for Similarity Search ... 1997 2026 2006 2016 1997 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Patella Italy 16 1.3k 1.1k 559 519 327 51 2.0k
Paolo Ciaccia Italy 18 1.5k 1.2× 1.1k 1.0× 625 1.1× 672 1.3× 363 1.1× 87 2.2k
King-Ip Lin United States 17 1.3k 1.0× 805 0.8× 813 1.5× 378 0.7× 517 1.6× 31 2.2k
Pavel Zezula Czechia 19 1.7k 1.3× 1.6k 1.5× 907 1.6× 697 1.3× 424 1.3× 119 2.7k
Chin‐Wan Chung South Korea 26 1.1k 0.8× 573 0.5× 703 1.3× 993 1.9× 394 1.2× 130 2.2k
Stefan Berchtold Germany 17 1.3k 1.0× 1.2k 1.1× 677 1.2× 487 0.9× 325 1.0× 26 2.1k
Gı́sli R. Hjaltason United States 11 1.3k 0.9× 448 0.4× 466 0.8× 712 1.4× 280 0.9× 15 1.5k
Kyu-Young Whang South Korea 19 1.5k 1.2× 333 0.3× 817 1.5× 1.1k 2.1× 465 1.4× 118 2.5k
Vassilis J. Tsotras United States 29 2.1k 1.6× 542 0.5× 979 1.8× 2.1k 4.0× 742 2.3× 157 3.2k
Sunil Prabhakar United States 25 1.9k 1.4× 637 0.6× 991 1.8× 1.5k 2.9× 598 1.8× 103 2.8k
Marios Hadjieleftheriou United States 28 1.6k 1.2× 438 0.4× 1.2k 2.1× 1.1k 2.2× 856 2.6× 53 2.7k

Countries citing papers authored by Marco Patella

Since Specialization
Citations

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

Fields of papers citing papers by Marco Patella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Patella

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Patella. A scholar is included among the top collaborators of Marco Patella 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 Patella. Marco Patella 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.
Lombardi, Michele, Armir Bujari, Iuliia Shustikova, et al.. (2023). Geomorphic flood hazard mapping: from floodplain delineation to flood hazard characterization. Hydrological Sciences Journal. 68(16). 2388–2403. 2 indexed citations
2.
Lombardi, Michele, Armir Bujari, Iuliia Shustikova, et al.. (2023). Geomorphic Flood Hazard Mapping: From Floodplain Delineation to Flood-Hazard Characterization. SSRN Electronic Journal. 1 indexed citations
3.
Bartolini, Ilaria & Marco Patella. (2023). A stream processing abstraction framework. Frontiers in Big Data. 6. 1227156–1227156.
4.
Céol, Arnaud, Ilaria Bartolini, Stefano Ceri, et al.. (2020). Search and comparison of (epi)genomic feature patterns in multiple genome browser tracks. BMC Bioinformatics. 21(1). 464–464. 5 indexed citations
5.
Bartolini, Ilaria, Paolo Ciaccia, & Marco Patella. (2014). Domination in the Probabilistic World. ACM Transactions on Database Systems. 39(2). 1–45. 14 indexed citations
6.
Bartolini, Ilaria, Paolo Ciaccia, & Marco Patella. (2012). Getting the Best from Uncertain Data: the Correlated Case.. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 43–50. 1 indexed citations
7.
Ciaccia, Paolo & Marco Patella. (2010). Proceedings of the Third International Conference on SImilarity Search and APplications.
8.
Patella, Marco & Paolo Ciaccia. (2008). Approximate similarity search: A multi-faceted problem. Journal of Discrete Algorithms. 7(1). 36–48. 45 indexed citations
9.
Patella, Marco, et al.. (2007). Metric Overlay Networks: Processing Similarity Queries in P2P Databases. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 6 indexed citations
10.
Bartolini, Ilaria, Paolo Ciaccia, & Marco Patella. (2004). WARP: accurate retrieval of shapes using phase of Fourier descriptors and time warping distance. IEEE Transactions on Pattern Analysis and Machine Intelligence. 27(1). 142–147. 127 indexed citations
11.
Bartolini, Ilaria, Elisa Bertino, Barbara Catania, et al.. (2003). PAtterns for Next-generation DAtabase systems: preliminary results of the PANDA project.. CINECA IRIS Institutial Research Information System (University of Genoa). 293–300. 11 indexed citations
12.
Angiulli, Fabrizio, Tiziana Catarci, Paolo Ciaccia, et al.. (2002). An Integrated Data Mining And Data Presentation Tool. IRIS Research product catalog (Sapienza University of Rome). 28.
13.
Bartolini, Ilaria, Paolo Ciaccia, & Marco Patella. (2002). String matching with metric trees using an approximate distance. 5 indexed citations
14.
Bartolini, Ilaria, Paolo Ciaccia, & Marco Patella. (2001). Windsurf: a Region-Based Image Retrieval System. OpenGrey (Institut de l'Information Scientifique et Technique). 98(4). 56–62. 4 indexed citations
15.
Bartolini, Ilaria & Marco Patella. (2000). Correct and efficient evaluation of region-based image search.. SEBD. 289–302. 1 indexed citations
16.
Ciaccia, Paolo & Marco Patella. (1999). PAC Nearest Neighbor Queries: Using the Distance Distribution for Searching in High-Dimensional Metric Spaces.. SEBD. 259–273. 2 indexed citations
17.
Ciaccia, Paolo, et al.. (1999). A Query-sensitive Cost Model for Similarity Queries with M-tree.. Australasian Database Conference. 168(4). 65–76. 16 indexed citations
18.
Ciaccia, Paolo & Marco Patella. (1998). Bulk Loading the M-tree. 7 indexed citations
19.
Ciaccia, Paolo, Marco Patella, Fausto Rabitti, & Pavel Zezula. (1997). Indexing Metric Spaces with M-Tree.. SEBD. 67–86. 20 indexed citations
20.
Ciaccia, Paolo, Marco Patella, & Pavel Zezula. (1997). M-tree: An Efficient Access Method for Similarity Search in Metric Spaces. Very Large Data Bases. 426–435. 960 indexed citations breakdown →

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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