Martin Danišík

5.3k total citations
176 papers, 4.1k citations indexed

About

Martin Danišík is a scholar working on Geophysics, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, Martin Danišík has authored 176 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Geophysics, 67 papers in Atmospheric Science and 51 papers in Artificial Intelligence. Recurrent topics in Martin Danišík's work include Geological and Geochemical Analysis (161 papers), earthquake and tectonic studies (86 papers) and Geology and Paleoclimatology Research (67 papers). Martin Danišík is often cited by papers focused on Geological and Geochemical Analysis (161 papers), earthquake and tectonic studies (86 papers) and Geology and Paleoclimatology Research (67 papers). Martin Danišík collaborates with scholars based in Australia, Germany and United States. Martin Danišík's co-authors include Noreen J. Evans, Axel K. Schmitt, Wolfgang Frisch, István Dunkl, Christopher L. Kirkland, B.J. McDonald, Brent McInnes, Wolfgang Siebel, Joachim Kuhlemann and Stijn Glorie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Geophysical Research Atmospheres.

In The Last Decade

Martin Danišík

167 papers receiving 4.0k citations

Peers

Martin Danišík
Comparison fields: 5 of 91
  • Geophysics 3.5k
  • Atmospheric Science 1.2k
  • Artificial Intelligence 1.1k
  • Paleontology 418
  • Geology 291
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Citations per field, relative to Martin Danišík
Martin Danišík · 1×
Citations per year, relative to Martin Danišík
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Countries citing papers authored by Martin Danišík

Since Specialization
Citations

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

Fields of papers citing papers by Martin Danišík

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Danišík

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Danišík. A scholar is included among the top collaborators of Martin Danišík 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 Martin Danišík. Martin Danišík 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 0
3 17
4 0
5 7
6 12
7 6
8 3
9 2
10 4
11 7
12 13
13 3
14 32
15 11
16 12
17 10
18 14
19
Thermochronological response to rifting and subduction in the Corsica-Sardinia block
1
20
Thermal evolution Cooling of the Žiar Mountains basement (Inner Western Carpathians, Slovakia) constrained by fission track data
17

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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