Dan Vodislav

469 citations
13 papers · 141 · h-index 6

Impact in

Papers in

Dan Vodislav

13 papers receiving 127 citations

Peers

Dan Vodislav
Comparison fields: 5 of 35
  • Signal Processing 53
  • Computer Networks and Communications 87
  • Artificial Intelligence 91
  • Information Systems 44
  • Geography, Planning and Development 6
Replace Michael Minock with:
Michael Minock Sweden
Michael S. Kester United States
Balasubramaniam Srinivasan Australia
Akmal B. Chaudhri United States
Giuseppe M. Mazzeo Italy
Maryvonne Miquel France
Jiang Du China
Henning Köhler Australia
Sattam Alsubaiee United States
Manolis Gergatsoulis Greece
Dan Vodislav relative to Michael Minock Sweden Michael Minock's profile →
Citations per field
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Citations per year

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-authors

The 14 scholars most cited alongside Dan Vodislav, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dan Vodislav Line = papers co-authored together Dan Vodislav links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 200259
2 200224
3 202116
4 200315
5 20196
6 20025
7 20225
8 20175
9 20242
10 20231
11 20231
12 20021
13 20221

About Dan Vodislav

Dan Vodislav is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 141 indexed citations. Recurring topics across this work include Data Management and Algorithms (4 papers), Semantic Web and Ontologies (4 papers), Spam and Phishing Detection (3 papers), Blockchain Technology Applications and Security (3 papers), Advanced Database Systems and Queries (3 papers), Image Retrieval and Classification Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Pharmaceutical Quality and Counterfeiting (2 papers). The work is most often cited by research in Signal Processing (53 citations), Computer Networks and Communications (87 citations), Artificial Intelligence (91 citations), Information Systems (44 citations) and Geography, Planning and Development (6 citations). Dan Vodislav has collaborated with scholars based in France and Slovenia. Frequent co-authors include Pierangelo Veltri, Sophie Cluet, Tova Milo, Chantal Reynaud, Dimitris Kotzinos, Karine Zeitouni, Marie-Christine Rousset, Claude Delobel, Chirine Ghédira and Hajer Baazaoui Zghal. Their work appears in journals such as GeoInformatica, World Wide Web, The VLDB Journal, Data & Knowledge Engineering and Semantic Web.

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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