Dagmar Novotná

581 total citations
20 papers, 424 citations indexed

About

Dagmar Novotná is a scholar working on Economics and Econometrics, Astronomy and Astrophysics and Oceanography. According to data from OpenAlex, Dagmar Novotná has authored 20 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Economics and Econometrics, 8 papers in Astronomy and Astrophysics and 5 papers in Oceanography. Recurrent topics in Dagmar Novotná's work include Complex Systems and Time Series Analysis (9 papers), Solar and Space Plasma Dynamics (6 papers) and Climate variability and models (5 papers). Dagmar Novotná is often cited by papers focused on Complex Systems and Time Series Analysis (9 papers), Solar and Space Plasma Dynamics (6 papers) and Climate variability and models (5 papers). Dagmar Novotná collaborates with scholars based in Czechia, Germany and United States. Dagmar Novotná's co-authors include Milan Paluš, Jan Laštovička, P. Križan, P. Šauli, Petr Tichavský, Martin Vejmelka, David Hartman, Jaroslav Hlinka, Udo D. Schwarz and Jürgen Kurths and has published in prestigious journals such as Physical Review Letters, Geophysical Research Letters and Physics Letters A.

In The Last Decade

Dagmar Novotná

19 papers receiving 415 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dagmar Novotná Czechia 12 187 127 125 120 82 20 424
M. G. Shnirman Russia 15 145 0.8× 126 1.0× 235 1.9× 102 0.8× 53 0.6× 72 670
E. Blanter Russia 13 118 0.6× 98 0.8× 210 1.7× 61 0.5× 28 0.3× 39 409
P. Giuliani Italy 10 94 0.5× 63 0.5× 304 2.4× 156 1.3× 107 1.3× 12 605
George Buzyna United States 11 71 0.4× 102 0.8× 79 0.6× 53 0.4× 73 0.9× 15 413
Massimiliano Ignaccolo United States 13 236 1.3× 155 1.2× 61 0.5× 134 1.1× 162 2.0× 33 590
D. I. Ponyavin Russia 12 59 0.3× 46 0.4× 379 3.0× 32 0.3× 32 0.4× 34 454
Nishant Malik United States 12 318 1.7× 213 1.7× 12 0.1× 98 0.8× 108 1.3× 25 548
Jean-Sébastien Gagnon Canada 10 45 0.2× 44 0.3× 119 1.0× 29 0.2× 38 0.5× 26 406
E. B. Gledzer Russia 10 126 0.7× 120 0.9× 120 1.0× 15 0.1× 29 0.4× 35 481
Anurag Juneja United States 8 89 0.5× 75 0.6× 88 0.7× 48 0.4× 44 0.5× 10 386

Countries citing papers authored by Dagmar Novotná

Since Specialization
Citations

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

Fields of papers citing papers by Dagmar Novotná

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagmar Novotná

This figure shows the co-authorship network connecting the top 25 collaborators of Dagmar Novotná. A scholar is included among the top collaborators of Dagmar Novotná 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 Dagmar Novotná. Dagmar Novotná 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
1.
Hlinka, Jaroslav, David Hartman, Martin Vejmelka, Dagmar Novotná, & Milan Paluš. (2013). Non-linear dependence and teleconnections in climate data: sources, relevance, nonstationarity. Climate Dynamics. 42(7-8). 1873–1886. 47 indexed citations
2.
Paluš, Milan & Dagmar Novotná. (2011). Northern Hemisphere patterns of phase coherence between solar/geomagnetic activity and NCEP/NCAR and ERA40 near-surface air temperature in period 7–8 years oscillatory modes. Nonlinear processes in geophysics. 18(2). 251–260. 11 indexed citations
3.
Paluš, Milan & Dagmar Novotná. (2009). Phase-coherent oscillatory modes in solar and geomagnetic activity and climate variability. Journal of Atmospheric and Solar-Terrestrial Physics. 71(8-9). 923–930. 24 indexed citations
4.
Paluš, Milan, Jürgen Kurths, Udo D. Schwarz, et al.. (2007). The solar activity cycle is weakly synchronized with the solar inertial motion. Physics Letters A. 365(5-6). 421–428. 23 indexed citations
5.
Paluš, Milan & Dagmar Novotná. (2007). Common oscillatory modes in geomagnetic activity, NAO index and surface air temperature records. Journal of Atmospheric and Solar-Terrestrial Physics. 69(17-18). 2405–2415. 15 indexed citations
6.
Paluš, Milan & Dagmar Novotná. (2006). Quasi-biennial oscillations extracted from the monthly NAO index and temperature records are phase-synchronized. Nonlinear processes in geophysics. 13(3). 287–296. 36 indexed citations
7.
Paluš, Milan, et al.. (2006). Nonlinear Science issues in the dynamics of unstable rock slopes: new tools for rock fall risk assessment and early warnings. Geological Society London Special Publications. 261(1). 79–93. 3 indexed citations
8.
Paluš, Milan, Dagmar Novotná, & Petr Tichavský. (2005). Shifts of seasons at the European mid‐latitudes: Natural fluctuations correlated with the North Atlantic Oscillation. Geophysical Research Letters. 32(12). 42 indexed citations
9.
Paluš, Milan & Dagmar Novotná. (2004). Enhanced Monte Carlo Singular System Analysis and detection of period 7.8 years oscillatory modes in the monthly NAO index and temperature records. Nonlinear processes in geophysics. 11(5/6). 721–729. 42 indexed citations
10.
Paluš, Milan, et al.. (2004). Fractal rock slope dynamics anticipating a collapse. Physical Review E. 70(3). 8 indexed citations
11.
Laštovička, Jan, P. Križan, P. Šauli, & Dagmar Novotná. (2003). Persistence of the planetary wave type oscillations in <i>fo</i>F2 over Europe. Annales Geophysicae. 21(7). 1543–1552. 55 indexed citations
12.
Laštovička, Jan, P. Križan, & Dagmar Novotná. (2003). Persistence of Planetary Waves in the Lower Ionosphere. Studia Geophysica et Geodaetica. 47(1). 161–172. 8 indexed citations
13.
Burešová, Dalia, et al.. (2002). Latitudinal Differences In The F1 Region Response To Geomagnetic Storm Over Europe. EGSGA. 1692. 1 indexed citations
14.
Paluš, Milan, Jürgen Kurths, Udo D. Schwarz, Dagmar Novotná, & Ivanka Charvátová. (2000). IS THE SOLAR ACTIVITY CYCLE SYNCHRONIZED WITH THE SOLAR INERTIAL MOTION?. International Journal of Bifurcation and Chaos. 10(11). 2519–2526. 23 indexed citations
15.
Paluš, Milan & Dagmar Novotná. (1999). Sunspot Cycle: A Driven Nonlinear Oscillator?. Physical Review Letters. 83(17). 3406–3409. 37 indexed citations
16.
Paluš, Milan & Dagmar Novotná. (1998). Detecting modes with nontrivial dynamics embedded in colored noise: enhanced Monte Carlo SSA and the case of climate oscillations. Physics Letters A. 248(2-4). 191–202. 21 indexed citations
17.
Paluš, Milan & Dagmar Novotná. (1994). Testing for nonlinearity in weather records. Physics Letters A. 193(1). 67–74. 25 indexed citations
18.
Novotná, Dagmar, et al.. (1991). The atmospheric mean energetic level and external forcing. Studia Geophysica et Geodaetica. 35(1). 33–38. 2 indexed citations
19.
Novotná, Dagmar, et al.. (1984). On some of the relations for vertical velocity in the atmosphere. Studia Geophysica et Geodaetica. 28(2). 202–207.
20.
Novotná, Dagmar, et al.. (1977). On one generalization of trochoidal waves. Studia Geophysica et Geodaetica. 21(1). 81–84. 1 indexed citations

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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