Jannes Münchmeyer

1.0k citations
29 papers · 632 indexed · 1 hit paper · h-index 14
Topics
Seismology and Earthquake Studies (18 papers)earthquake and tectonic studies (14 papers)Seismic Waves and Analysis (9 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsGeophysical Research Letters

In The Last Decade

Jannes Münchmeyer

26 papers receiving 622 citations

Hit Papers

Which Picker Fits My Data? A Quantitative Evaluation of D...202220262023202420224080120

Peers

Jannes Münchmeyer
Comparison fields: 5 of 74
  • Artificial Intelligence 469
  • Geophysics 426
  • Molecular Biology 54
  • Ocean Engineering 24
  • Paleontology 17
Replace Marcelo B. Pádua with:
Marcelo B. Pádua Brazil
Masaki Murakami Japan
Chris Johnson United Kingdom
J. Kopanas Greece
Yimin Liu China
I. H. Henson United States
Kaiguang Zhu China
Shufan Zhao China
A. Peratzakis Greece
Jannes Münchmeyer relative to Marcelo B. Pádua Brazil Marcelo B. Pádua's profile →
Citations per field
00.5×6.1×
Marcelo B. Pádua · 1×
Citations per year

Countries citing papers authored by Jannes Münchmeyer

Since Specialization
Citations

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

Fields of papers citing papers by Jannes Münchmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jannes Münchmeyer

This figure shows the co-authorship network connecting the top 25 collaborators of Jannes Münchmeyer. A scholar is included among the top collaborators of Jannes Münchmeyer 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 Jannes Münchmeyer. Jannes Münchmeyer 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
#WorkIndexed citations
1 0
2 5
3 0
4 0
5 1
6 17
7 4
8 14
9 17
10 18
11 96
12
Which Picker Fits My Data? A Quantitative Evaluation of Deep Learning Based Seismic Pickersbreakdown →
121
13 7
14 16
15 22
16
The Transformer Earthquake Alerting Model: Improving Earthquake Early Warning with Deep Learning
1
17 75
18 47
19 18
20 12

About Jannes Münchmeyer

Jannes Münchmeyer is a scholar working on Geophysics, Health Informatics and Artificial Intelligence, having authored 29 papers that have together received 632 indexed citations. Recurring topics across this work include Seismology and Earthquake Studies (18 papers), earthquake and tectonic studies (14 papers) and Seismic Waves and Analysis (9 papers). The work is most often cited by research in Geophysics (426 citations), Artificial Intelligence (469 citations) and Paleontology (17 citations). Jannes Münchmeyer has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Ulf Leser, Frederik Tilmann, Dino Bindi, Leon Weber, Dietrich Lange, Andreas Rietbrock, Jack Woollam, Joachim Saul, Tim Rocktäschel and Carlo Giunchi. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Geophysical Research Letters.

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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