Dimitar Hristovski

1.7k citations
41 papers · 1.1k indexed · h-index 16
Topics
Biomedical Text Mining and Ontologies (25 papers)Semantic Web and Ontologies (15 papers)Bioinformatics and Genomic Networks (11 papers)

In The Last Decade

Dimitar Hristovski

41 papers receiving 995 citations

Peers

Dimitar Hristovski
Comparison fields: 5 of 106
  • Molecular Biology 792
  • Artificial Intelligence 519
  • Computational Theory and Mathematics 185
  • Genetics 109
  • Information Systems 80
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Florian Leitner Spain
Graciela Rosemblat United States
Marc Weeber Netherlands
François-Michel Lang United States
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Citations per field
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Citations per year

Countries citing papers authored by Dimitar Hristovski

Since Specialization
Citations

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

Fields of papers citing papers by Dimitar Hristovski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dimitar Hristovski

This figure shows the co-authorship network connecting the top 25 collaborators of Dimitar Hristovski. A scholar is included among the top collaborators of Dimitar Hristovski 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 Dimitar Hristovski. Dimitar Hristovski 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 1
2 115
3
Implementing Semantics-Based Cross-domain Collaboration Recommendation in Biomedicine with a Graph Database
2
4 12
5 42
6 42
7 5
8 17
9 43
10 7
11
Using Literature-based Discovery to Explain Drug Adverse Effects.
2
12 34
13
Graph-Based Methods for Discovery Browsing with Semantic Predications
2
14
Graph-based methods for discovery browsing with semantic predications.
38
15 12
16 9
17 174
18
Users' information-seeking behavior on a medical library Website.
20
19
A data mining approach to the development of a diagnostic test for male infertility.
4
20
Organizing Slovene Medical Bibliography on the World Wide Web
1

About Dimitar Hristovski

Dimitar Hristovski is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (25 papers), Semantic Web and Ontologies (15 papers) and Bioinformatics and Genomic Networks (11 papers). The work is most often cited by research in Artificial Intelligence (519 citations), Computational Theory and Mathematics (185 citations) and Molecular Biology (792 citations). Dimitar Hristovski has collaborated with scholars based in Slovenia, United States and Denmark. Frequent co-authors include Borut Peterlin, Thomas C. Rindflesch, Andrej Kastrin, Joyce A. Mitchell, Susanne M. Humphrey, Halil Kilicoglu, Sašo Džeroski, Marcelo Fiszman, Carol Friedman and Janez Stare. Their work appears in journals such as PLoS ONE, SLEEP and BMC Bioinformatics.

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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