Carl Shneider

564 total citations
15 papers, 142 citations indexed

About

Carl Shneider is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Carl Shneider has authored 15 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Astronomy and Astrophysics, 5 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Carl Shneider's work include Solar and Space Plasma Dynamics (4 papers), Neural Networks and Applications (3 papers) and Genomics and Rare Diseases (2 papers). Carl Shneider is often cited by papers focused on Solar and Space Plasma Dynamics (4 papers), Neural Networks and Applications (3 papers) and Genomics and Rare Diseases (2 papers). Carl Shneider collaborates with scholars based in Netherlands, United States and United Kingdom. Carl Shneider's co-authors include Ricardo Ascázubi, Ingrid Wilke, P.S. Dutta, Robinson E. Pino, Leo Pauly, Djamila Aouada, Andrew Fletcher, Anvar Shukurov, M. Haverkorn and Andong Hu and has published in prestigious journals such as Physical Review B, The Astrophysical Journal Supplement Series and Astronomy and Astrophysics.

In The Last Decade

Carl Shneider

12 papers receiving 136 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carl Shneider Netherlands 6 49 45 42 36 15 15 142
W. Bencze United States 10 26 0.5× 69 1.5× 63 1.5× 32 0.9× 10 0.7× 19 190
Aritra Biswas India 10 45 0.9× 20 0.4× 23 0.5× 25 0.7× 5 0.3× 21 256
M. Reyes Spain 7 47 1.0× 89 2.0× 15 0.4× 74 2.1× 17 1.1× 16 165
Renate Kupke United States 9 62 1.3× 93 2.1× 11 0.3× 126 3.5× 5 0.3× 49 188
Sasha Buchman United States 7 42 0.9× 70 1.6× 51 1.2× 34 0.9× 4 0.3× 18 158
György Mező Hungary 7 16 0.3× 116 2.6× 7 0.2× 20 0.6× 13 0.9× 30 216
P. Lu United States 6 64 1.3× 17 0.4× 18 0.4× 70 1.9× 6 0.4× 14 174
R.A. Ashton United States 10 160 3.3× 22 0.5× 30 0.7× 99 2.8× 28 1.9× 41 306
J. Meier Germany 9 78 1.6× 25 0.6× 70 1.7× 27 0.8× 1 0.1× 37 200
Damon Russell United States 8 118 2.4× 69 1.5× 33 0.8× 36 1.0× 22 184

Countries citing papers authored by Carl Shneider

Since Specialization
Citations

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

Fields of papers citing papers by Carl Shneider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carl Shneider

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

All Works

15 of 15 papers shown
1.
Shneider, Carl, et al.. (2025). Edge computing in space: Design of an FPGA architecture for thermal anomaly detection based on a machine learning approach. Advances in Space Research. 75(6). 5173–5189.
2.
Kacem, Anis, et al.. (2025). Information Theoretic Pruning of Coupled Channels in Deep Neural Networks. Open Repository and Bibliography (University of Luxembourg). 7776–7786.
3.
Muñoz‐Jaramillo, Andrés, Paul Wright, Carl Shneider, et al.. (2024). Physically Motivated Deep Learning to Superresolve and Cross Calibrate Solar Magnetograms. The Astrophysical Journal Supplement Series. 271(2). 46–46. 3 indexed citations
4.
Shabayek, Abd El Rahman, et al.. (2024). Hardware Aware Evolutionary Neural Architecture Search using Representation Similarity Metric. Open Repository and Bibliography (University of Luxembourg). 2616–2625. 3 indexed citations
5.
McPherron, R. L., R. J. Walker, K. M. Pitman, et al.. (2023). AI-ready data in space science and solar physics: problems, mitigation and action plan. Frontiers in Astronomy and Space Sciences. 10. 1 indexed citations
6.
McPherron, R. L., R. J. Walker, K. M. Pitman, et al.. (2023). AI-ready Data in Solar Physics and Space Science: Concerns, Mitigation and Recommendations.
7.
Pauly, Leo, et al.. (2023). A survey on deep learning-based monocular spacecraft pose estimation: Current state, limitations and prospects. Acta Astronautica. 212. 339–360. 46 indexed citations
8.
Hu, Andong, et al.. (2022). Probabilistic Prediction of Dst Storms One‐Day‐Ahead Using Full‐Disk SoHO Images. Space Weather. 20(8). 12 indexed citations
9.
Angerhausen, Daniel, Eleni Antoniadou, Valentin Bickel, et al.. (2021). Artificial Intelligence for the Advancement of Lunar and Planetary Science and Exploration. elib (German Aerospace Center). 53(4). 2 indexed citations
10.
Kuzniar, Arnold, Jason Maassen, Stefan Verhoeven, et al.. (2020). sv-callers: a highly portable parallel workflow for structural variant detection in whole-genome sequence data. PeerJ. 8. e8214–e8214. 12 indexed citations
11.
Kuzniar, Arnold, Jason Maassen, Stefan Verhoeven, et al.. (2018). A portable and scalable workflow for detecting structural variants in whole-genome sequencing data. Data Archiving and Networked Services (DANS). 28. 303–304. 1 indexed citations
12.
Shneider, Carl, M. Haverkorn, Andrew Fletcher, & Anvar Shukurov. (2014). Constraining regular and turbulent magnetic field strengths in M 51 via Faraday depolarization. Astronomy and Astrophysics. 568. A83–A83. 5 indexed citations
13.
Shneider, Carl, M. Haverkorn, Andrew Fletcher, & Anvar Shukurov. (2014). Depolarization of synchrotron radiation in a multilayer magneto-ionic medium. Astronomy and Astrophysics. 567. A82–A82. 9 indexed citations
14.
Ascázubi, Ricardo, Carl Shneider, Ingrid Wilke, Robinson E. Pino, & P.S. Dutta. (2005). THz-emission mechanisms in impurity compensated GaSb. Bulletin of the American Physical Society. 1 indexed citations
15.
Ascázubi, Ricardo, Carl Shneider, Ingrid Wilke, Robinson E. Pino, & P.S. Dutta. (2005). Enhanced terahertz emission from impurity compensated GaSb. Physical Review B. 72(4). 47 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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Rankless by CCL
2026