Dan Vodislav

469 total citations
13 papers, 141 citations indexed

About

Dan Vodislav is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Dan Vodislav has authored 13 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 5 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Dan Vodislav's work include Semantic Web and Ontologies (4 papers), Data Management and Algorithms (4 papers) and Spam and Phishing Detection (3 papers). Dan Vodislav is often cited by papers focused on Semantic Web and Ontologies (4 papers), Data Management and Algorithms (4 papers) and Spam and Phishing Detection (3 papers). Dan Vodislav collaborates with scholars based in France and Slovenia. Dan Vodislav's co-authors include Pierangelo Veltri, Tova Milo, Sophie Cluet, Chantal Reynaud, Dimitris Kotzinos, Karine Zeitouni, Claude Delobel, Marie-Christine Rousset, Chirine Ghédira and Petar Kochovski and has published in prestigious journals such as SHILAP Revista de lepidopterología, The VLDB Journal and Data & Knowledge Engineering.

In The Last Decade

Dan Vodislav

13 papers receiving 127 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Vodislav France 6 91 87 53 44 15 13 141
Giuseppe M. Mazzeo Italy 8 117 1.3× 70 0.8× 60 1.1× 31 0.7× 25 1.7× 16 190
Karim Tabia France 6 83 0.9× 36 0.4× 25 0.5× 21 0.5× 16 1.1× 26 131
Riccardo Tommasini Italy 8 86 0.9× 97 1.1× 44 0.8× 51 1.2× 23 1.5× 43 170
Frédérique Laforest France 6 64 0.7× 68 0.8× 14 0.3× 50 1.1× 42 2.8× 33 131
Guolei Yang United States 7 127 1.4× 26 0.3× 50 0.9× 60 1.4× 28 1.9× 12 189
Franck Morvan France 8 43 0.5× 165 1.9× 76 1.4× 51 1.2× 20 1.3× 42 204
Balasubramaniam Srinivasan Australia 6 47 0.5× 98 1.1× 40 0.8× 26 0.6× 39 2.6× 22 161
Chengfang Fang Singapore 8 163 1.8× 44 0.5× 32 0.6× 22 0.5× 23 1.5× 17 210
Jiazhu Dai China 7 267 2.9× 75 0.9× 86 1.6× 62 1.4× 20 1.3× 17 304
Zulfikar Ramzan United States 9 56 0.6× 68 0.8× 36 0.7× 86 2.0× 27 1.8× 11 158

Countries citing papers authored by Dan Vodislav

Since Specialization
Citations

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

Fields of papers citing papers by Dan Vodislav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Vodislav

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

All Works

13 of 13 papers shown
1.
Kochovski, Petar, et al.. (2024). Drug traceability system based on semantic blockchain and on a reputation method. World Wide Web. 27(5). 2 indexed citations
2.
Zghal, Hajer Baazaoui, et al.. (2023). A semantic blockchain-based system for drug traceability. SPIRE - Sciences Po Institutional REpository. 115–118. 1 indexed citations
3.
Vodislav, Dan, et al.. (2023). Clustering for the Analysis and Enrichment of Corpus of Images for the Spatio-temporal Monitoring of Restoration Sites. SPIRE - Sciences Po Institutional REpository. 39–47. 1 indexed citations
4.
Zghal, Hajer Baazaoui, et al.. (2022). A blockchain-based framework for drug traceability. Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. 1900–1907. 5 indexed citations
5.
Vodislav, Dan, et al.. (2022). AUTOMATIC STRUCTURING OF PHOTOGRAPHIC COLLECTIONS FOR SPATIO-TEMPORAL MONITORING OF RESTORATION SITES: PROBLEM STATEMENT AND CHALLENGES. SHILAP Revista de lepidopterología. XLVI-2/W1-2022. 521–528. 1 indexed citations
6.
Zeitouni, Karine, et al.. (2021). Towards a semantic indoor trajectory model: application to museum visits. GeoInformatica. 25(2). 311–352. 16 indexed citations
7.
Vodislav, Dan, et al.. (2019). Quality metrics for RDF graph summarization. Semantic Web. 10(3). 555–584. 6 indexed citations
8.
Vodislav, Dan, et al.. (2017). Towards a Better Understanding of Museum Visitors’ Behavior through Indoor Trajectory Analysis. SHILAP Revista de lepidopterología. 7. 19–30. 5 indexed citations
9.
Delobel, Claude, et al.. (2003). Semantic integration in Xyleme: a uniform tree-based approach. Data & Knowledge Engineering. 44(3). 267–298. 15 indexed citations
10.
Vodislav, Dan. (2002). A visual programming model for user interface animation. 344–351. 5 indexed citations
11.
Vodislav, Dan. (2002). Visual programming for animation in user interfaces. 131–132. 1 indexed citations
12.
Reynaud, Chantal, et al.. (2002). Semantic integration of XML heterogeneous data sources. 39. 199–208. 24 indexed citations
13.
Cluet, Sophie, et al.. (2002). Views in a large-scale XML repository. The VLDB Journal. 11(3). 238–255. 59 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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