Marko Toplak

2.2k total citations · 1 hit paper
12 papers, 1.6k citations indexed

About

Marko Toplak is a scholar working on Molecular Biology, Artificial Intelligence and Biophysics. According to data from OpenAlex, Marko Toplak has authored 12 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Artificial Intelligence and 4 papers in Biophysics. Recurrent topics in Marko Toplak's work include Spectroscopy and Chemometric Analyses (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Bioinformatics and Genomic Networks (2 papers). Marko Toplak is often cited by papers focused on Spectroscopy and Chemometric Analyses (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Bioinformatics and Genomic Networks (2 papers). Marko Toplak collaborates with scholars based in Slovenia, United States and Italy. Marko Toplak's co-authors include Janez Demšar, Blaž Zupan, Tomaž Curk, Lan Žagar, Martin Možina, Marinka Žitnik, Lan Umek, Miha Štajdohar, Jure Žbontar and Tomaž Hočevar and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Marko Toplak

12 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Orange: data mining toolbox in python

2013 1.2k citations Janez Demšar, Tomaž Curk et al. Journal of Machine Learning Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marko Toplak Slovenia	8	337	223	150	135	131	12	1.6k
Lan Žagar Slovenia	6	400 1.2×	220 1.0×	91 0.6×	116 0.9×	74 0.6×	8	1.5k
Tomaž Hočevar Slovenia	4	305 0.9×	268 1.2×	69 0.5×	90 0.7×	68 0.5×	5	1.4k
Miha Štajdohar Slovenia	5	323 1.0×	209 0.9×	70 0.5×	138 1.0×	67 0.5×	10	1.4k
Jake Lever Canada	13	539 1.6×	328 1.5×	68 0.5×	153 1.1×	86 0.7×	22	2.1k
Martin Možina Slovenia	15	328 1.0×	376 1.7×	72 0.5×	103 0.8×	69 0.5×	41	1.9k
Jure Žbontar United States	4	234 0.7×	217 1.0×	68 0.5×	147 1.1×	67 0.5×	6	1.4k
Ernst C. Wit Netherlands	25	1.0k 3.1×	281 1.3×	120 0.8×	90 0.7×	90 0.7×	136	2.7k
Richard R. Picard United States	10	148 0.4×	174 0.8×	44 0.3×	180 1.3×	115 0.9×	30	1.8k
Zhenyuan Wang China	32	918 2.7×	347 1.6×	518 3.5×	81 0.6×	319 2.4×	179	3.2k
Eva Cernadas Spain	16	227 0.7×	832 3.7×	37 0.2×	167 1.2×	188 1.4×	59	2.7k

Countries citing papers authored by Marko Toplak

Since Specialization

Citations

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

Fields of papers citing papers by Marko Toplak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marko Toplak

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

All Works

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12 of 12 papers shown

1.

Vongsvivut, Jitraporn, Meguya Ryu, Soon Hock Ng, et al.. (2025). Bridging spectroscopy and advanced molecular orientation analysis with new 4＋ angle polarization toolbox in Quasar. Computers in Biology and Medicine. 196(Pt A). 110573–110573. 1 indexed citations

2.

Toplak, Marko, Fulvio Mastrogiovanni, Diego Perugini, et al.. (2025). Orange-Volcanoes: A new open and collaborative platform to perform data-driven investigations and machine learning analyses in petrology and volcanology. SHILAP Revista de lepidopterología. 27. 100270–100270. 1 indexed citations

3.

Toplak, Marko, Stuart Read, Christophe Sandt, & Ferenc Borondics. (2021). Quasar: Easy Machine Learning for Biospectroscopy. Cells. 10(9). 2300–2300. 119 indexed citations

4.

Stražar, Martin, Ajda Pretnar Žagar, Janez Demšar, et al.. (2019). Democratized image analytics by visual programming through integration of deep models and small-scale machine learning. Nature Communications. 10(1). 4551–4551. 61 indexed citations

5.

Sandt, Christophe, et al.. (2019). Performance comparison of aperture-less and confocal infrared microscopes. SHILAP Revista de lepidopterología. 10 indexed citations

6.

Toplak, Marko, Giovanni Birarda, Stuart Read, et al.. (2017). Infrared Orange: Connecting Hyperspectral Data with Machine Learning. Synchrotron Radiation News. 30(4). 40–45. 129 indexed citations

7.

Toplak, Marko, Zoran Bosnić, Lars Carlsson, et al.. (2014). Assessment of Machine Learning Reliability Methods for Quantifying the Applicability Domain of QSAR Regression Models. Journal of Chemical Information and Modeling. 54(2). 431–441. 40 indexed citations

8.

Miranda, Edward Roshan, Olga Zhuchenko, Marko Toplak, et al.. (2013). ABC Transporters in Dictyostelium discoideum Development. PLoS ONE. 8(8). e70040–e70040. 16 indexed citations

9.

Demšar, Janez, Tomaž Curk, Tomaž Hočevar, et al.. (2013). Orange: data mining toolbox in python. Journal of Machine Learning Research. 14(1). 2349–2353. 1239 indexed citations breakdown →

10.

Miranda, Edward Roshan, Gregor Rot, Marko Toplak, et al.. (2013). Transcriptional Profiling of Dictyostelium with RNA Sequencing. Methods in molecular biology. 983. 139–171. 10 indexed citations

11.

Toplak, Marko, Tomaž Curk, Janez Demšar, & Blaž Zupan. (2010). Does replication groups scoring reduce false positive rate in SNP interaction discovery?. BMC Genomics. 11(1). 58–58. 2 indexed citations

12.

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