Radoslav Krivák

1.6k citations
10 papers · 769 indexed · 2 hit papers · h-index 6
Topics
Protein Structure and Dynamics (8 papers)Computational Drug Discovery Methods (8 papers)Microbial Natural Products and Biosynthesis (2 papers)
Partner nations
CzechiaSpainLuxembourg

In The Last Decade

Radoslav Krivák

10 papers receiving 763 citations

Hit Papers

P2Rank: machine learning based tool for rapid and accurat...20182026202020232018201950100150200250

Peers

Radoslav Krivák
Comparison fields: 5 of 95
  • Molecular Biology 494
  • Computational Theory and Mathematics 339
  • Materials Chemistry 89
  • Organic Chemistry 67
  • Plant Science 61
Replace Bilal Shaker with:
Bilal Shaker South Korea
Sivakumar Prasanth Kumar India
Eugène Megnassan Ivory Coast
Agnes Meyder Germany
Camila S. de Magalhães Brazil
Thales Kronenberger Germany
Clement Agoni South Africa
Kiran Bharat Lokhande India
Rohit Shukla India
Thirumurthy Madhavan India
Radoslav Krivák relative to Bilal Shaker South Korea Bilal Shaker's profile →
Citations per field
00.5×8.2×
Bilal Shaker · 1×
Citations per year

Countries citing papers authored by Radoslav Krivák

Since Specialization
Citations

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

Fields of papers citing papers by Radoslav Krivák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radoslav Krivák

This figure shows the co-authorship network connecting the top 25 collaborators of Radoslav Krivák. A scholar is included among the top collaborators of Radoslav Krivák 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 Radoslav Krivák. Radoslav Krivák 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
#WorkIndexed citations
1 4
2 4
3 2
4 6
5 112
6
PrankWeb: a web server for ligand binding site prediction and visualizationbreakdown →
276
7
P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structurebreakdown →
296
8 13
9 2
10 54

About Radoslav Krivák

Radoslav Krivák is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology, having authored 10 papers that have together received 769 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (8 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (339 citations), Molecular Biology (494 citations) and Pharmacology (44 citations). Radoslav Krivák has collaborated with scholars based in Czechia, Spain and Luxembourg. Frequent co-authors include David Hoksza, Marián Novotný, Petr Škoda, Lukáš Jendele, Dávid Jakubec and L. Polák. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Journal of Molecular Biology.

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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