Martin Vejmelka
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 7
- Functional Brain Connectivity Studies 4
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- Complex Network Analysis Techniques 4
- Global and Planetary Change top 5%
- Climate variability and models 4
- Fire effects on ecosystems 4
- Economics and Econometrics top 5%
- Complex Systems and Time Series Analysis 5
- Atmospheric Science top 10%
- Meteorological Phenomena and Simulations 5
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- Nonlinear Dynamics and Pattern Formation 4
- Co-authors
- Milan PalušJoydeep BhattacharyaKateřina Hlaváčková‐SchindlerJaroslav HlinkaDavid HartmanNorbert MarwanJürgen KurthsJakob Runge
- Journals
- Chaos An Interdisciplinary Journal of Nonlinear Science (3 papers)Climate Dynamics (2 papers)Nature Communications (1 paper)
- Partner nations
- CzechiaUnited StatesUnited Kingdom
In The Last Decade
Martin Vejmelka
21 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Cognitive Neuroscience 619
- Statistical and Nonlinear Physics 366
- Global and Planetary Change 426
- Economics and Econometrics 365
- Atmospheric Science 217
Countries citing papers authored by Martin Vejmelka
This map shows the geographic impact of Martin Vejmelka'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 Vejmelka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Vejmelka more than expected).
Fields of papers citing papers by Martin Vejmelka
This network shows the impact of papers produced by Martin Vejmelka. 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 Vejmelka. The network helps show where Martin Vejmelka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Vejmelka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 4 | |
| 2 | 2019 | 11 | |
| 3 | 2016 | 15 | |
| 4 | 2015 | 5 | |
| 5 | 2015 | 194 | |
| 6 | 2014 | 7 | |
| 7 | 2014 | 73 | |
| 8 | 2014 | 15 | |
| 9 | 2014 | 31 | |
| 10 | 2013 | 83 | |
| 11 | Non-linear contributions to interactions in climate networks: sources, relevance, nonstationarity | 2012 | 0 |
| 12 | 2011 | 59 | |
| 13 | 2010 | 141 | |
| 14 | 2010 | 18 | |
| 15 | 2010 | 8 | |
| 16 | 2009 | 4 | |
| 17 | 2009 | 9 | |
| 18 | 2008 | 155 | |
| 19 | 2007 | 209 | |
| 20 | Causality detection based on information-theoretic approaches in time series analysisbreakdown → | 2007 | 576 |
About Martin Vejmelka
Martin Vejmelka is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Global and Planetary Change, Atmospheric Science and Economics and Econometrics, having authored 22 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Meteorological Phenomena and Simulations (5 papers), Complex Systems and Time Series Analysis (5 papers), Climate variability and models (4 papers), Functional Brain Connectivity Studies (4 papers), Complex Network Analysis Techniques (4 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and Fire effects on ecosystems (4 papers). The work is most often cited by research in Cognitive Neuroscience (619 citations), Statistical and Nonlinear Physics (366 citations), Global and Planetary Change (426 citations), Economics and Econometrics (365 citations) and Atmospheric Science (217 citations). Martin Vejmelka has collaborated with scholars based in Czechia, United States and United Kingdom. Frequent co-authors include Milan Paluš, Joydeep Bhattacharya, Kateřina Hlaváčková‐Schindler, Jaroslav Hlinka, David Hartman, Norbert Marwan, Jürgen Kurths, Jakob Runge, Maurizio Corbetta and Dante Mantini. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Climate Dynamics, Nature Communications, NeuroImage and Physics Reports.
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.