Damir Vandić

451 citations
26 papers · 220 indexed · h-index 9
Topics
Web Data Mining and Analysis (16 papers)Semantic Web and Ontologies (10 papers)Recommender Systems and Techniques (6 papers)
Partner nations
Netherlands

In The Last Decade

Damir Vandić

23 papers receiving 204 citations

Peers

Damir Vandić
Comparison fields: 5 of 32
  • Artificial Intelligence 154
  • Information Systems 131
  • Management Science and Operations Research 40
  • Signal Processing 27
  • Molecular Biology 24
Replace Andreas Lommatzsch with:
Andreas Lommatzsch Germany
Xiaokun Zhang China
Guglielmo Faggioli Italy
Armelle Brun France
Roberto Mirizzi Italy
Lemei Zhang Norway
Gabriel de Souza Pereira Moreira United States
Paolo Tomeo Italy
Ibrahim F. Moawad Egypt
Mayssam Sayyadian United States
Damir Vandić relative to Andreas Lommatzsch Germany Andreas Lommatzsch's profile →
Citations per field
00.5×10×15×20×24×
Andreas Lommatzsch · 1×
Citations per year

Countries citing papers authored by Damir Vandić

Since Specialization
Citations

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

Fields of papers citing papers by Damir Vandić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damir Vandić

This figure shows the co-authorship network connecting the top 25 collaborators of Damir Vandić. A scholar is included among the top collaborators of Damir Vandić 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 Damir Vandić. Damir Vandić 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 2
2 0
3 17
4
A lexical approach for taxonomy mapping
0
5 4
6 2
7 12
8 11
9 3
10 18
11 19
12 6
13 4
14 25
15 2
16 11
17 11
18 8
19
Intelligent Information Systems for Web Product Search
0
20 6

About Damir Vandić

Damir Vandić is a scholar working on Information Systems, Signal Processing and Artificial Intelligence, having authored 26 papers that have together received 220 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (16 papers), Semantic Web and Ontologies (10 papers) and Recommender Systems and Techniques (6 papers). The work is most often cited by research in Information Systems (131 citations), Artificial Intelligence (154 citations) and Management Science and Operations Research (40 citations). Damir Vandić has collaborated with scholars based in Netherlands. Frequent co-authors include Flavius Frăsincar, Uzay Kaymak, Frederik Hogenboom and Alexander Hogenboom. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Knowledge and Data Engineering and Decision Support Systems.

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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