Sebastian Schmidl

9 total papers · 508 total citations
6 papers, 249 citations indexed

About

Sebastian Schmidl is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Sebastian Schmidl has authored 6 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Signal Processing, 5 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Sebastian Schmidl's work include Time Series Analysis and Forecasting (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Network Security and Intrusion Detection (3 papers). Sebastian Schmidl is often cited by papers focused on Time Series Analysis and Forecasting (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Network Security and Intrusion Detection (3 papers). Sebastian Schmidl collaborates with scholars based in Germany. Sebastian Schmidl's co-authors include Thorsten Papenbrock and Felix Naumann and has published in prestigious journals such as Proceedings of the VLDB Endowment, The VLDB Journal and Gesellschaft für Informatik (GI).

In The Last Decade

Sebastian Schmidl

5 papers receiving 242 citations

Hit Papers

Anomaly detection in time... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sebastian Schmidl 205 148 113 40 13 6 249
Jihun Yi 231 1.1× 103 0.7× 99 0.9× 65 1.6× 11 0.8× 4 317
Ahmed Abdulaal 156 0.8× 115 0.8× 95 0.8× 43 1.1× 6 0.5× 9 306
Stefano Basta 240 1.2× 75 0.5× 106 0.9× 35 0.9× 7 0.5× 9 279
Rémi Domingues 219 1.1× 48 0.3× 67 0.6× 41 1.0× 7 0.5× 3 321
François-Xavier Aubet 144 0.7× 124 0.8× 147 1.3× 35 0.9× 50 3.8× 5 302
Michael Kloft 205 1.0× 58 0.4× 118 1.0× 34 0.8× 4 0.3× 9 277
Ismo Kärkkäinen 252 1.2× 87 0.6× 74 0.7× 33 0.8× 4 0.3× 8 320
V. J. Yohai 73 0.4× 48 0.3× 31 0.3× 25 0.6× 13 1.0× 5 226
Maria Kontaki 216 1.1× 143 1.0× 151 1.3× 14 0.3× 5 0.4× 12 304
Shubhomoy Das 188 0.9× 48 0.3× 98 0.9× 21 0.5× 8 0.6× 9 247

Countries citing papers authored by Sebastian Schmidl

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Schmidl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Schmidl

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

All Works

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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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