Gregor Leban

1.2k total citations
20 papers, 437 citations indexed

About

Gregor Leban is a scholar working on Artificial Intelligence, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Gregor Leban has authored 20 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Molecular Biology and 3 papers in Sociology and Political Science. Recurrent topics in Gregor Leban's work include Gene expression and cancer classification (6 papers), Bioinformatics and Genomic Networks (4 papers) and Natural Language Processing Techniques (3 papers). Gregor Leban is often cited by papers focused on Gene expression and cancer classification (6 papers), Bioinformatics and Genomic Networks (4 papers) and Natural Language Processing Techniques (3 papers). Gregor Leban collaborates with scholars based in Slovenia, United States and Poland. Gregor Leban's co-authors include Blaž Zupan, Janez Demšar, Ivan Bratko, Marko Grobelnik, Blaž Fortuna, Janez Brank, Tomaž Curk, Uroš Petrovič, Gaj Vidmar and Qikai Xu and has published in prestigious journals such as Bioinformatics, Scientific Reports and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Gregor Leban

20 papers receiving 417 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gregor Leban Slovenia	9	159	134	71	66	32	20	437
Ricardo J. G. B. Campello Brazil	10	205 1.3×	190 1.4×	93 1.3×	66 1.0×	33 1.0×	15	472
Mark V. Culp United States	13	147 0.9×	111 0.8×	149 2.1×	67 1.0×	14 0.4×	25	513
Scott Spangler United States	14	223 1.4×	175 1.3×	136 1.9×	29 0.4×	61 1.9×	34	673
Jingyu Hou China	13	143 0.9×	339 2.5×	47 0.7×	136 2.1×	12 0.4×	82	687
David Dupplaw United Kingdom	10	162 1.0×	49 0.4×	79 1.1×	113 1.7×	19 0.6×	39	387
Minbyul Jeong South Korea	9	468 2.9×	229 1.7×	101 1.4×	96 1.5×	70 2.2×	13	736
Ameen Banjar Saudi Arabia	14	190 1.2×	124 0.9×	66 0.9×	101 1.5×	9 0.3×	45	570
Aleks Jakulin Slovenia	9	180 1.1×	57 0.4×	35 0.5×	87 1.3×	22 0.7×	13	366
Olufunke Oladipupo Nigeria	8	133 0.8×	85 0.6×	78 1.1×	30 0.5×	8 0.3×	38	384
Marc Janssen Netherlands	6	107 0.7×	61 0.5×	51 0.7×	39 0.6×	59 1.8×	17	404

Countries citing papers authored by Gregor Leban

Since Specialization

Citations

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

Fields of papers citing papers by Gregor Leban

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregor Leban

This figure shows the co-authorship network connecting the top 25 collaborators of Gregor Leban. A scholar is included among the top collaborators of Gregor Leban 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 Gregor Leban. Gregor Leban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Rožanec, Jože M., et al.. (2023). AI, What Does the Future Hold for Us? Automating Strategic Foresight. 247–248. 1 indexed citations

Leban, Gregor, et al.. (2023). Semi-Supervised Event Predictions with Graph Networks. 245–246. 1 indexed citations

Bezak, Nejc, et al.. (2023). Towards improved knowledge about water-related extremes based on news media information captured using artificial intelligence. International Journal of Disaster Risk Reduction. 100. 104172–104172. 6 indexed citations

Sienkiewicz, Julian, et al.. (2020). A calibrated measure to compare fluctuations of different entities across timescales. Scientific Reports. 10(1). 18 indexed citations

Grobelnik, Marko, et al.. (2019). Health News Bias and its impact in Public Health. Ulster University Research Portal (Ulster University). 1 indexed citations

Sienkiewicz, Julian, et al.. (2019). Modeling of temporal fluctuation scaling in online news network with independent cascade model. Physica A Statistical Mechanics and its Applications. 523. 129–144. 8 indexed citations

Mladenić, Dunja, et al.. (2018). Automatic Estimation of News Values Reflecting Importance and Closeness of News Events. Informatica. 42(4). 5 indexed citations

Brank, Janez, Gregor Leban, & Marko Grobelnik. (2018). Semantic Annotation of Documents Based on Wikipedia Concepts. 42(1). 5 indexed citations

Muhič, Andrej, et al.. (2017). News Across Languages - Cross-Lingual Document Similarity and Event Tracking (Extended Abstract). 5050–5054. 3 indexed citations

10.

Leban, Gregor, Blaž Fortuna, & Marko Grobelnik. (2016). Using News Articles for Real-time Cross-Lingual Event Detection and Filtering.. 33–38. 9 indexed citations

11.

Leban, Gregor, et al.. (2015). Towards a Complete Event Type Taxonomy. Ghent University Academic Bibliography (Ghent University). 899–902. 3 indexed citations

12.

Leban, Gregor, Blaž Fortuna, Janez Brank, & Marko Grobelnik. (2014). Cross-lingual detection of world events from news articles. International Semantic Web Conference. 21–24. 2 indexed citations

13.

Leban, Gregor, Blaž Fortuna, Janez Brank, & Marko Grobelnik. (2014). Event registry. 107–110. 72 indexed citations

14.

Leban, Gregor & Marko Grobelnik. (2010). Displaying email-related contextual information using contextify. 181–184. 1 indexed citations

15.

Toplak, Marko, et al.. (2009). On utility of gene set signatures in gene expression-based cancer class prediction. 55–64. 4 indexed citations

16.

Demšar, Janez, Gregor Leban, & Blaž Zupan. (2007). FreeViz—An intelligent multivariate visualization approach to explorative analysis of biomedical data. Journal of Biomedical Informatics. 40(6). 661–671. 54 indexed citations

17.

Leban, Gregor, et al.. (2007). Visualization-based cancer microarray data classification analysis. Bioinformatics. 23(16). 2147–2154. 65 indexed citations

18.

Leban, Gregor, Blaž Zupan, Gaj Vidmar, & Ivan Bratko. (2006). VizRank: Data Visualization Guided by Machine Learning. Data Mining and Knowledge Discovery. 13(2). 119–136. 58 indexed citations

19.

Curk, Tomaž, Janez Demšar, Qikai Xu, et al.. (2004). Microarray data mining with visual programming. Bioinformatics. 21(3). 396–398. 98 indexed citations

20.

Leban, Gregor, Ivan Bratko, Uroš Petrovič, Tomaž Curk, & Blaž Zupan. (2004). VizRank: finding informative data projections in functional genomics by machine learning. Bioinformatics. 21(3). 413–414. 23 indexed citations

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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