S. Geißelsöder

831 total citations
3 papers, 16 citations indexed

About

S. Geißelsöder is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiation. According to data from OpenAlex, S. Geißelsöder has authored 3 papers receiving a total of 16 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Radiation. Recurrent topics in S. Geißelsöder's work include Stochastic Gradient Optimization Techniques (1 paper), Cryptography and Data Security (1 paper) and Machine Learning in Bioinformatics (1 paper). S. Geißelsöder is often cited by papers focused on Stochastic Gradient Optimization Techniques (1 paper), Cryptography and Data Security (1 paper) and Machine Learning in Bioinformatics (1 paper). S. Geißelsöder collaborates with scholars based in Germany and Austria. S. Geißelsöder's co-authors include Volker Markl, Alireza Rezaei Mahdiraji, Thilo Michel, Matthias Böehm, Michael S. Hildebrand, Sebastian Wrede, Philipp M. Grulich, Jürgen Durst, Ankit Chaudhary and Tobias Rieger and has published in prestigious journals such as Advances in High Energy Physics.

In The Last Decade

S. Geißelsöder

3 papers receiving 16 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Geißelsöder Germany 3 6 5 3 3 2 3 16
W. Badgett United States 3 6 1.0× 8 1.6× 4 1.3× 2 0.7× 1 0.5× 10 18
S. Meneghini Italy 3 3 0.5× 6 1.2× 2 0.7× 3 1.0× 7 12
Antonio Di Pilato Switzerland 3 3 0.5× 7 1.4× 3 1.0× 3 1.0× 5 11
Matthias Rudolph Richter Germany 4 3 0.5× 6 1.2× 4 1.3× 4 1.3× 1 0.5× 6 18
A. Artamonov Russia 3 4 0.7× 6 1.2× 3 1.0× 7 2.3× 9 20
S. Gkaitatzis Greece 3 8 1.3× 6 1.2× 3 1.0× 3 1.0× 6 21
Jonas Nathanael Eschle Switzerland 3 4 0.7× 11 2.2× 4 1.3× 3 1.0× 7 20
S. Han China 4 7 1.2× 15 3.0× 3 1.0× 2 0.7× 3 1.5× 8 36
M. A. Shah United States 3 4 0.7× 4 0.8× 3 1.0× 1 0.5× 4 15
M. Bachtis United States 2 3 0.5× 9 1.8× 2 0.7× 2 0.7× 5 18

Countries citing papers authored by S. Geißelsöder

Since Specialization
Citations

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

Fields of papers citing papers by S. Geißelsöder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Geißelsöder

This figure shows the co-authorship network connecting the top 25 collaborators of S. Geißelsöder. A scholar is included among the top collaborators of S. Geißelsöder 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 S. Geißelsöder. S. Geißelsöder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
2.
Böehm, Matthias, Ankit Chaudhary, S. Geißelsöder, et al.. (2021). ExDRa: Exploratory Data Science on Federated Raw Data. 2450–2463. 9 indexed citations
3.
Michel, Thilo, et al.. (2013). The Potential of Hybrid Pixel Detectors in the Search for the Neutrinoless Double-Beta Decay of116Cd. Advances in High Energy Physics. 2013. 1–20. 5 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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