Nada Lavrač

10.1k total citations
177 papers, 4.3k citations indexed

About

Nada Lavrač is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Nada Lavrač has authored 177 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Artificial Intelligence, 51 papers in Information Systems and 46 papers in Molecular Biology. Recurrent topics in Nada Lavrač's work include Data Mining Algorithms and Applications (44 papers), Semantic Web and Ontologies (33 papers) and Biomedical Text Mining and Ontologies (25 papers). Nada Lavrač is often cited by papers focused on Data Mining Algorithms and Applications (44 papers), Semantic Web and Ontologies (33 papers) and Biomedical Text Mining and Ontologies (25 papers). Nada Lavrač collaborates with scholars based in Slovenia, Croatia and United Kingdom. Nada Lavrač's co-authors include Dragan Gamberger, Sašo Džeroski, Igor Mozetič, Jiarong Hong, Ryszard S. Michalski, Peter Flach, Branko Kavšek, Petra Kralj Novak, Johannes Fürnkranz and Geoffrey I. Webb and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Nada Lavrač

171 papers receiving 3.9k citations

Peers

Nada Lavrač
Comparison fields: 5 of 187
  • Artificial Intelligence 2.7k
  • Information Systems 1.5k
  • Computational Theory and Mathematics 782
  • Molecular Biology 506
  • Signal Processing 387
Replace María José del Jesús with:
María José del Jesús Spain
Yuefeng Li Australia
Keki B. Irani United States
Hendrik Blockeel Belgium
Fadi Thabtah United Kingdom
Reda Alhajj Canada
Ivan Bratko Slovenia
Yiming Ma China
Gregory Piatetsky-Shapiro United States
Aijun An Canada
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Citations per field, relative to Nada Lavrač
Nada Lavrač · 1×
Citations per year, relative to Nada Lavrač
Nada Lavrač · 1×

Countries citing papers authored by Nada Lavrač

Since Specialization
Citations

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

Fields of papers citing papers by Nada Lavrač

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nada Lavrač

This figure shows the co-authorship network connecting the top 25 collaborators of Nada Lavrač. A scholar is included among the top collaborators of Nada Lavrač 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 Nada Lavrač. Nada Lavrač 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
# Work Indexed citations
1 0
2 3
3 11
4 3
5
Napovedovanje spola slovenskih blogerk in blogerjev
1
6
The Good, the Bad, and the AHA! Blends.
5
7
Text mining platform for NLP workflow design, replication and reuse
2
8
Relational and Semantic Data Mining — Invited Talk —
1
9
Incremental revision of biological networks from texts
0
10
Irregularity Detection in Categorized Document Corpora
1
11 27
12
Relational Descriptive Analysis of Gene Expression Data
1
13
Subgroup Discovery with CN2-SD
180
14
Knowledge discovery in databases : PKDD 2003 : 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003 : proceedings
13
15
4th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD2000)
4
16
Experiments with Noise Filtering in a Medical Domain
127
17
Ninth International Workshop on Inductive Logic Programming (ILP'99)
5
18
Proceedings of the 7th International Workshop on Inductive Logic Programming
22
19
Inductive Logic Programming: Techniques and Applications
393
20 33

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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