Ioannis Vlahavas

12.2k citations
179 papers · 5.1k indexed · 4 hit papers · h-index 30
Topics
Semantic Web and Ontologies (26 papers)AI-based Problem Solving and Planning (22 papers)Logic, Reasoning, and Knowledge (18 papers)

In The Last Decade

Ioannis Vlahavas

167 papers receiving 4.8k citations

Hit Papers

Machine Learning and Data Mining Methods in...20082026201420202017201020082011250500750

Peers

Ioannis Vlahavas
Comparison fields: 5 of 180
  • Artificial Intelligence 3.4k
  • Information Systems 1.3k
  • Computer Vision and Pattern Recognition 1.1k
  • Molecular Biology 585
  • Health Information Management 585
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Citations per field
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Citations per year

Countries citing papers authored by Ioannis Vlahavas

Since Specialization
Citations

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

Fields of papers citing papers by Ioannis Vlahavas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ioannis Vlahavas

This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis Vlahavas. A scholar is included among the top collaborators of Ioannis Vlahavas 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 Ioannis Vlahavas. Ioannis Vlahavas 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
#WorkIndexed citations
1 0
2 1
3 2
4 2
5 9
6 36
7
Multi-target feature selection through output space clustering.
2
8
AUTH-Atypon at BioASQ 3: Large-Scale Semantic Indexing in Biomedicine.
6
9
MULAN: A Java Library for Multi-Label Learningbreakdown →
389
10 1
11
Multilabel Text Classification for Automated Tag Suggestion
192
12
R-DEVICE: an Object-Oriented Knowledge Base System for RDF Metadata
14
13
HAP RC : an automatically configurable planning system
4
14
Capturing RDF Descriptive Semantics in an Object Oriented Knowledge Base System
6
15
A Knowledge-based Framework for Building Web Service Domains
1
16
Learning rules for adaptive planning
10
17
Multiple and Partial periodicity mining in time series databases
59
18
Effective Stacking of distributed classifiers
14
19 3
20
A Non-Uniform Data Fragmentation Strategy for Parallel Main-Menory Database Systems
4

About Ioannis Vlahavas

Ioannis Vlahavas is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 179 papers that have together received 5.1k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (26 papers), AI-based Problem Solving and Planning (22 papers) and Logic, Reasoning, and Knowledge (18 papers). The work is most often cited by research in Health Information Management (585 citations), Artificial Intelligence (3.4k citations) and Information Systems (1.3k citations). Ioannis Vlahavas has collaborated with scholars based in Greece, United States and United Kingdom. Frequent co-authors include Grigorios Tsoumakas, Ioannis Katakis, Ioannis Kavakiotis, Nicos Maglaveras, O. Tsave, Athanasios Salifoglou, Nick Bassiliades, Ioanna Chouvarda, George Kalliris and Eleftherios Spyromitros-Xioufis. Their work appears in journals such as Brain Research, Expert Systems with Applications and IEEE Access.

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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