M. Süveges

12.8k citations
23 papers · 653 · h-index 9

Impact in

Papers in

M. Süveges

21 papers receiving 641 citations

Peers

M. Süveges
Comparison fields: 5 of 103
  • Instrumentation 58
  • Astronomy and Astrophysics 151
  • Physiology 231
  • Cellular and Molecular Neuroscience 136
  • Finance 70
Replace David White with:
David White United States
Jingfei Zhang China
M. Curé Chile
R. L. Hawkins United States
Samantha R. Cook United Kingdom
Wenxian Lu United States
K. Fritze Canada
N. Earl United States
M. Süveges relative to David White United States David White's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Süveges

Since Specialization
Citations

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

Fields of papers citing papers by M. Süveges

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Süveges, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Süveges Line = papers co-authored together M. Süveges links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006280
2 201196
3 200784
4 201039
5 201437
6 201226
7 201423
8 201222
9 201214
10 20176
11 20175
12 20195
13 20104
14 20173
15 20092
16
The Impact of Gaia and LSST on Binaries and Exoplanets
20162
17 20231
18
False Alarm Probability based on bootstrap and extreme-value methods for periodogram peaks
20121
19 20111
20 19661

About M. Süveges

M. Süveges is a scholar working on Astronomy and Astrophysics, Instrumentation, Global and Planetary Change, Finance and Computational Mechanics, having authored 23 papers that have together received 653 indexed citations. Recurring topics across this work include Stellar, planetary, and galactic studies (11 papers), Astronomy and Astrophysical Research (9 papers), Financial Risk and Volatility Modeling (4 papers), Hydrology and Drought Analysis (4 papers), Astronomical Observations and Instrumentation (4 papers), Climate variability and models (3 papers), Meteorological Phenomena and Simulations (2 papers) and Relativity and Gravitational Theory (2 papers). The work is most often cited by research in Instrumentation (58 citations), Astronomy and Astrophysics (151 citations), Physiology (231 citations), Cellular and Molecular Neuroscience (136 citations) and Finance (70 citations). M. Süveges has collaborated with scholars based in Switzerland, Spain and Belgium. Frequent co-authors include A. C. Davison, Marie Pertin, Sylvain Sardy, Donat R. Spahn, Nicolas Gilliard, Isabelle Décosterd, Sophie Fukutome, Mark A. Liniger, L. Eyer and N. Mowlavï. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, The Annals of Applied Statistics, Extremes, Pain and The European Physical Journal Special Topics.

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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