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Researcher · Czech Academy of Sciences, Institute of Computer Science · Czechia

Milan Paluš

Milan Paluš publishes mostly in Cognitive Neuroscience, Statistical and Nonlinear Physics and Economics and Econometrics, on topics such as Complex Systems and Time Series Analysis, Neural dynamics and brain function and Climate variability and models.

ORCID 0000-0001-8474-1436 OpenAlex
World rank
#444,140
of 7,710,434 ranked researchers
Rank in Czechia
#654
of 39,303
Works
178
Citations
6.3k
Citations per work
35.4
h-index
39
i10-index 72Top 7.6% in Cognitive Neuroscience
Milan Paluš

What does Milan Paluš research?

Milan Paluš's work is mostly in Neuroscience (18%), Physics and Astronomy (13%), Computer Science (12%).

Physical Sciences: 64 works · 35.8% of their workPhysics and Astronomy: 24 works · 13.3% of their workStatistical and Nonlinear Physics: 24 works · 13.3% of their workComputer Science: 22 works · 12.1% of their workArtificial Intelligence: 13 works · 7.1% of their workComputer Networks and Communications: 9 works · 5.0% of their workEnvironmental Science: 19 works · 10.4% of their workGlobal and Planetary Change: 19 works · 10.4% of their workEverything else: 61 works · 34.0% of their workLife Sciences: 33 works · 18.3% of their workNeuroscience: 33 works · 18.3% of their workCognitive Neuroscience: 33 works · 18.3% of their workSocial Sciences: 21 works · 11.9% of their workEconomics, Econometrics and Finance: 21 works · 11.9% of their workEconomics and Econometrics: 21 works · 11.9% of their workTHEIR WORKMilan Paluš178works
Life Sciences18%Physical Sciences36%Social Sciences12%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Physics and Astronomy2413.3%
    2. Computer Science2212.1%
    3. Environmental Science1910.4%
  2. Everything else6134.0%
    1. Neuroscience3318.3%
    1. Economics, Econometrics and Finance2111.9%
  1. 1Cognitive Neuroscience18% of their works
  2. 2Statistical and Nonlinear Physics13% of their works
  3. 3Economics and Econometrics12% of their works
  4. 4Global and Planetary Change10% of their works
  5. 5Artificial Intelligence7% of their works
  6. 6Computer Networks and Communications5% of their works

Research topics

Which keywords describe Milan Paluš's research?

The keywords of their largest research topics: Synchronization, Complex Systems, Econophysics, Multifractal Analysis, Nonlinear Dynamics, Cortical Networks, Neuronal Oscillations and Climate Change.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 19 words, with their numbers
  1. Synchronization923 topics
  2. Complex Systems882 topics
  3. Econophysics571 topic
  4. Multifractal Analysis571 topic
  5. Nonlinear Dynamics532 topics
  6. Cortical Networks391 topic
  7. Neuronal Oscillations391 topic
  8. Climate Change321 topic
  9. Global Warming321 topic
  10. Chaos311 topic
  11. Time Series Analysis311 topic
  12. Functional Connectivity251 topic
  13. Resting-State fMRI251 topic
  14. Chimera States221 topic
  15. Reaction-Diffusion Model221 topic
  16. Brain-Computer Interfaces201 topic
  17. EEG Analysis201 topic
  18. Neural Networks191 topic
  19. Self-Organizing Maps191 topic

Where does Milan Paluš work?

Milan Paluš's main affiliation in the publication record is Czech Academy of Sciences, Institute of Computer Science, Czechia.

How many publications and citations does Milan Paluš have?

OpenAlex counts 178 works and 6,309 citations for Milan Paluš, an h-index of 39, ranking #444,140 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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