Yannis Velegrakis

2.6k total citations
75 papers, 952 citations indexed

About

Yannis Velegrakis is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Yannis Velegrakis has authored 75 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 43 papers in Computer Networks and Communications and 29 papers in Signal Processing. Recurrent topics in Yannis Velegrakis's work include Advanced Database Systems and Queries (42 papers), Semantic Web and Ontologies (35 papers) and Data Management and Algorithms (29 papers). Yannis Velegrakis is often cited by papers focused on Advanced Database Systems and Queries (42 papers), Semantic Web and Ontologies (35 papers) and Data Management and Algorithms (29 papers). Yannis Velegrakis collaborates with scholars based in Italy, United States and France. Yannis Velegrakis's co-authors include Matteo Lissandrini, Themis Palpanas, Davide Mottin, Divesh Srivastava, Wang-Chiew Tan, Bogdan Alexe, Francesco Guerra, Sonia Bergamaschi, Ekaterini Ioannou and Renée J. Miller and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Knowledge and Data Engineering and Proceedings of the VLDB Endowment.

In The Last Decade

Yannis Velegrakis

72 papers receiving 897 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yannis Velegrakis Italy 18 619 446 346 309 257 75 952
Angela Bonifati France 20 839 1.4× 781 1.8× 307 0.9× 263 0.9× 403 1.6× 101 1.3k
Martin Theobald Germany 20 1.1k 1.8× 579 1.3× 516 1.5× 435 1.4× 469 1.8× 75 1.6k
Ralf Schenkel Germany 19 753 1.2× 520 1.2× 559 1.6× 165 0.5× 404 1.6× 102 1.2k
Andy Seaborne United States 6 627 1.0× 394 0.9× 349 1.0× 103 0.3× 134 0.5× 13 843
Wolfgang Gatterbauer United States 16 336 0.5× 404 0.9× 303 0.9× 220 0.7× 224 0.9× 50 780
Yeye He United States 19 580 0.9× 216 0.5× 323 0.9× 432 1.4× 179 0.7× 47 897
Riccardo Torlone Italy 16 414 0.7× 531 1.2× 292 0.8× 131 0.4× 254 1.0× 85 837
Stijn Vansummeren Belgium 18 575 0.9× 680 1.5× 363 1.0× 207 0.7× 222 0.9× 72 1.1k
Ziawasch Abedjan Germany 19 698 1.1× 405 0.9× 479 1.4× 799 2.6× 203 0.8× 62 1.2k
Sergey Melnik United States 16 897 1.4× 664 1.5× 699 2.0× 183 0.6× 175 0.7× 25 1.2k

Countries citing papers authored by Yannis Velegrakis

Since Specialization
Citations

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

Fields of papers citing papers by Yannis Velegrakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yannis Velegrakis

This figure shows the co-authorship network connecting the top 25 collaborators of Yannis Velegrakis. A scholar is included among the top collaborators of Yannis Velegrakis 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 Yannis Velegrakis. Yannis Velegrakis 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.
Velegrakis, Yannis, et al.. (2024). Quality assessment and community detection methods for anonymized mobility data in the Italian Covid context. Scientific Reports. 14(1). 4636–4636.
2.
Velegrakis, Yannis, et al.. (2021). Leveraging Static Models for Link Prediction in Temporal Knowledge Graphs. 1034–1041. 3 indexed citations
3.
Lissandrini, Matteo, Davide Mottin, Themis Palpanas, & Yannis Velegrakis. (2020). Graph-Query Suggestions for Knowledge Graph Exploration. VBN Forskningsportal (Aalborg Universitet). 2549–2555. 19 indexed citations
4.
Lissandrini, Matteo, et al.. (2019). Mining patterns in graphs with multiple weights. Distributed and Parallel Databases. 39(2). 281–319. 7 indexed citations
5.
Lissandrini, Matteo, Davide Mottin, Themis Palpanas, & Yannis Velegrakis. (2019). Example-based Search. Institutional Research Information System (Università degli Studi di Trento). 1411–1412. 6 indexed citations
6.
Papadimitriou, Dimitra, Georgia Koutrika, Yannis Velegrakis, & John Mylopoulos. (2018). Finding Related Forum Posts through Content Similarity over Intention-Based Segmentation (Extended Abstract). Institutional Research Information System (Università degli Studi di Trento). 23. 1805–1806. 2 indexed citations
7.
Lissandrini, Matteo, Davide Mottin, Themis Palpanas, & Yannis Velegrakis. (2018). Data Exploration Using Example-Based Methods. Institutional Research Information System (Università degli Studi di Trento). 10(4). 1–164. 7 indexed citations
8.
Lissandrini, Matteo, Davide Mottin, Themis Palpanas, & Yannis Velegrakis. (2018). Multi-Example Search in Rich Information Graphs. Institutional Research Information System (Università degli Studi di Trento). 809–820. 13 indexed citations
9.
Mottin, Davide, Matteo Lissandrini, Yannis Velegrakis, & Themis Palpanas. (2017). New trends on exploratory methods for data analytics. Proceedings of the VLDB Endowment. 10(12). 1977–1980. 26 indexed citations
10.
Aridhi, Sabeur, Alberto Montresor, & Yannis Velegrakis. (2016). BLADYG. Institutional Research Information System (Università degli Studi di Trento). 39–42. 4 indexed citations
11.
Bergamaschi, Sonia, Francesco Guerra, Matteo Interlandi, Raquel Trillo-Lado, & Yannis Velegrakis. (2015). Combining user and database perspective for solving keyword queries over relational databases. Information Systems. 55. 1–19. 25 indexed citations
12.
Korn, Flip, et al.. (2015). Fine-grained controversy detection in Wikipedia. Institutional Research Information System (Università degli Studi di Trento). 1573–1584. 13 indexed citations
13.
Mottin, Davide, et al.. (2014). IQR. Institutional Research Information System (Università degli Studi di Trento). 1095–1098. 16 indexed citations
14.
Mottin, Davide, Matteo Lissandrini, Yannis Velegrakis, & Themis Palpanas. (2014). Exemplar queries. Proceedings of the VLDB Endowment. 7(5). 365–376. 50 indexed citations
15.
Mottin, Davide, et al.. (2013). A probabilistic optimization framework for the empty-answer problem. Proceedings of the VLDB Endowment. 6(14). 1762–1773. 32 indexed citations
16.
Mylopoulos, John, et al.. (2011). Supporting queries spanning across phases of evolving artifacts using Steiner forests. Institutional Research Information System (Università degli Studi di Trento). 1649–1658. 5 indexed citations
17.
Velegrakis, Yannis, et al.. (2008). Entity Identification on the Semantic Web.. Institutional Research Information System (Università degli Studi di Trento). 5 indexed citations
18.
Srivastava, Divesh & Yannis Velegrakis. (2007). Using Queries to Associate Metadata with Data. Institutional Research Information System (Università degli Studi di Trento). 1451–1453. 4 indexed citations
19.
Velegrakis, Yannis, Renée J. Miller, & Lucian Popa. (2003). Adapting Mappings in Frequently Changing Environments. 1 indexed citations
20.
Velegrakis, Yannis, Vassilis Christophides, & Panos Constantopoulos. (2000). On Z39.50 wrapping and description logics. International Journal on Digital Libraries. 3(3). 208–220. 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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