Miha Štajdohar

1.8k total citations · 1 hit paper
10 papers, 1.4k citations indexed

About

Miha Štajdohar is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Miha Štajdohar has authored 10 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Miha Štajdohar's work include Bioinformatics and Genomic Networks (4 papers), Data Visualization and Analytics (3 papers) and Complex Network Analysis Techniques (3 papers). Miha Štajdohar is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Data Visualization and Analytics (3 papers) and Complex Network Analysis Techniques (3 papers). Miha Štajdohar collaborates with scholars based in Slovenia, United States and South Korea. Miha Štajdohar's co-authors include Janez Demšar, Tomaž Curk, Blaž Zupan, Marinka Žitnik, Lan Umek, Jure Žbontar, Marko Toplak, Lan Žagar, Tomaž Hočevar and Martin Možina and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and BMC Bioinformatics.

In The Last Decade

Miha Štajdohar

9 papers receiving 1.3k citations

Hit Papers

Orange: data mining toolbox in python 2013 2026 2017 2021 2013 400 800 1.2k

Peers

Miha Štajdohar
Comparison fields: 5 of 202
  • Molecular Biology 323
  • Artificial Intelligence 209
  • Biomedical Engineering 138
  • Information Systems 99
  • Plant Science 98
Replace Lan Žagar with:
Lan Žagar Slovenia
Tomaž Hočevar Slovenia
Marko Toplak Slovenia
Martin Možina Slovenia
Jure Žbontar United States
Jake Lever Canada
Ernst C. Wit Netherlands
Pooja Yadav India
Eva Cernadas Spain
Jing Xu China
Lan Žagar Slovenia View profile →
Citations per field, relative to Miha Štajdohar
Miha Štajdohar · 1×
Citations per year, relative to Miha Štajdohar
Miha Štajdohar · 1×

Countries citing papers authored by Miha Štajdohar

Since Specialization
Citations

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

Fields of papers citing papers by Miha Štajdohar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miha Štajdohar

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 0
2 3
3 1
4 1
5 26
6 78
7
Interactive network exploration with Orange
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8
Orange: data mining toolbox in python breakdown →
1239
9 5
10 3

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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