Ilaria Bartolini

1.5k total citations
53 papers, 821 citations indexed

About

Ilaria Bartolini is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Ilaria Bartolini has authored 53 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 23 papers in Signal Processing and 13 papers in Artificial Intelligence. Recurrent topics in Ilaria Bartolini's work include Advanced Image and Video Retrieval Techniques (25 papers), Image Retrieval and Classification Techniques (24 papers) and Data Management and Algorithms (19 papers). Ilaria Bartolini is often cited by papers focused on Advanced Image and Video Retrieval Techniques (25 papers), Image Retrieval and Classification Techniques (24 papers) and Data Management and Algorithms (19 papers). Ilaria Bartolini collaborates with scholars based in Italy, Hong Kong and United States. Ilaria Bartolini's co-authors include Marco Patella, Paolo Ciaccia, Florian Waas, Dimitris Papadias, Zhenjie Zhang, Vincenzo Moscato, Ruggero G. Pensa, Antonio Picariello, Maria Luisa Sapino and Carlo Sansone 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

Ilaria Bartolini

48 papers receiving 772 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ilaria Bartolini Italy 14 405 395 253 143 134 53 821
Vlastislav Dohnal Czechia 8 481 1.2× 466 1.2× 181 0.7× 126 0.9× 276 2.1× 29 801
Volker Gaede Australia 6 846 2.1× 321 0.8× 498 2.0× 241 1.7× 301 2.2× 12 1.0k
Hans Hinterberger Switzerland 6 618 1.5× 238 0.6× 423 1.7× 155 1.1× 237 1.8× 18 803
Shi-Kuo Chang United States 12 343 0.8× 467 1.2× 240 0.9× 82 0.6× 211 1.6× 33 834
Andreas Henrich Germany 10 336 0.8× 158 0.4× 221 0.9× 165 1.2× 152 1.1× 86 533
Alexey Pryakhin Germany 10 225 0.6× 102 0.3× 97 0.4× 82 0.6× 137 1.0× 23 385
Fausto Rabitti Italy 16 288 0.7× 372 0.9× 255 1.0× 160 1.1× 345 2.6× 60 781
Ashwin Lall United States 14 272 0.7× 101 0.3× 418 1.7× 98 0.7× 323 2.4× 38 701
Yongluan Zhou Denmark 16 224 0.6× 161 0.4× 577 2.3× 365 2.6× 201 1.5× 75 800
José Oncina Spain 14 266 0.7× 276 0.7× 73 0.3× 63 0.4× 430 3.2× 36 708

Countries citing papers authored by Ilaria Bartolini

Since Specialization
Citations

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

Fields of papers citing papers by Ilaria Bartolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilaria Bartolini

This figure shows the co-authorship network connecting the top 25 collaborators of Ilaria Bartolini. A scholar is included among the top collaborators of Ilaria Bartolini 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 Ilaria Bartolini. Ilaria Bartolini 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.
Bartolini, Ilaria & Marco Patella. (2023). A stream processing abstraction framework. Frontiers in Big Data. 6. 1227156–1227156.
2.
Moro, Gianluca, et al.. (2023). Graph-Enhanced Biomedical Abstractive Summarization Via Factual Evidence Extraction. SN Computer Science. 4(5). 3 indexed citations
3.
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
4.
Bartolini, Ilaria, et al.. (2018). Automatic detection of cataplexy. Sleep Medicine. 52. 7–13. 3 indexed citations
5.
Bartolini, Ilaria & Marco Patella. (2017). A general framework for real-time analysis of massive multimedia streams. Multimedia Systems. 24(4). 391–406. 10 indexed citations
6.
Bartolini, Ilaria & Marco Patella. (2017). Windsurf: the best way to SURF. Multimedia Systems. 24(4). 459–476. 2 indexed citations
7.
Bartolini, Ilaria, Paolo Ciaccia, & Marco Patella. (2014). Domination in the Probabilistic World. ACM Transactions on Database Systems. 39(2). 1–45. 14 indexed citations
8.
Bartolini, Ilaria, Vincenzo Moscato, Ruggero G. Pensa, et al.. (2014). Recommending multimedia visiting paths in cultural heritage applications. Multimedia Tools and Applications. 75(7). 3813–3842. 50 indexed citations
9.
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
10.
Bartolini, Ilaria, et al.. (2011). Skyline Processing on Distributed Vertical Decompositions. IEEE Transactions on Knowledge and Data Engineering. 25(4). 850–862. 20 indexed citations
11.
Bartolini, Ilaria, et al.. (2011). THE WINDSURF LIBRARY FOR THE EFFICIENT RETRIEVAL OF MULTIMEDIA HIERARCHICAL DATA. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 139–148. 9 indexed citations
12.
Bartolini, Ilaria, Paolo Ciaccia, & Marco Patella. (2009). Query processing issues in region-based image databases. Knowledge and Information Systems. 25(2). 389–420. 18 indexed citations
13.
Bartolini, Ilaria, Paolo Ciaccia, Lei Chen, & Vincent Oria. (2006). A meta-index to integrate specific indexes: Application to multimedia. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 29–35.
14.
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
15.
Bartolini, Ilaria & Paolo Ciaccia. (2003). MuSIQUE: A Multi-System Image Querying User Interface.. SEBD. 437–448. 1 indexed citations
16.
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
17.
Bartolini, Ilaria, Paolo Ciaccia, & Marco Patella. (2002). String matching with metric trees using an approximate distance. 5 indexed citations
18.
Bartolini, Ilaria, Paolo Ciaccia, & Florian Waas. (2001). FeedbackBypass: A New Approach to Interactive Similarity Query Processing. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 201–210. 57 indexed citations
19.
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
20.
Bartolini, Ilaria & Marco Patella. (2000). Correct and efficient evaluation of region-based image search.. SEBD. 289–302. 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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