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Researcher · Ansbach University of Applied Sciences · Germany

Bastian Seifert

Bastian Seifert publishes mostly in Artificial Intelligence, Signal Processing and Computational Theory and Mathematics, on topics such as Advanced Graph Neural Networks, Blind Source Separation Techniques and Complex Network Analysis Techniques.

ORCID 0000-0002-2207-8285 OpenAlex
World rank
#4,463,418
of 7,710,434 ranked researchers
Rank in Germany
#226,680
of 364,343
Works
21
Citations
158
Citations per work
7.5
h-index
8
i10-index 8Top 56% in Artificial Intelligence
Bastian Seifert

What does Bastian Seifert research?

Bastian Seifert's work is mostly in Computer Science (40%), Neuroscience (10%), Physics and Astronomy (10%).

Physical Sciences: 10 works · 49.2% of their workComputer Science: 8 works · 39.7% of their workArtificial Intelligence: 3 works · 14.3% of their workComputational Theory and Mathematics: 3 works · 12.7% of their workSignal Processing: 3 works · 12.7% of their workPhysics and Astronomy: 2 works · 9.5% of their workStatistical and Nonlinear Physics: 2 works · 9.5% of their workEverything else: 8 works · 36.5% of their workLife Sciences: 3 works · 14.3% of their workNeuroscience: 2 works · 9.5% of their workCognitive Neuroscience: 2 works · 9.5% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 4.8% of their workMolecular Biology: 1 works · 4.8% of their workTHEIR WORKBastian Seifert21works
Life Sciences14%Physical Sciences49%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science839.7%
    2. Physics and Astronomy29.5%
  2. Everything else836.5%
    1. Neuroscience29.5%
    2. Biochemistry, Genetics and Molecular Biology14.8%
  1. 1Artificial Intelligence14% of their works
  2. 2Signal Processing13% of their works
  3. 3Computational Theory and Mathematics13% of their works
  4. 4Statistical and Nonlinear Physics10% of their works
  5. 5Cognitive Neuroscience10% of their works
  6. 6Molecular Biology5% of their works

Research topics

Which keywords describe Bastian Seifert's research?

The keywords of their largest research topics: Deep Learning, Graph Neural Networks, Knowledge Graph Embedding, Blind Separation, Community Structure, Independent Component Analysis, Network Dynamics and Cortical Networks.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 17 words, with their numbers
  1. Deep Learning82 topics
  2. Graph Neural Networks51 topic
  3. Knowledge Graph Embedding51 topic
  4. Blind Separation41 topic
  5. Community Structure41 topic
  6. Independent Component Analysis41 topic
  7. Network Dynamics41 topic
  8. Cortical Networks31 topic
  9. Econophysics31 topic
  10. FFT31 topic
  11. Filter Banks31 topic
  12. Image Denoising31 topic
  13. Multifractal Analysis31 topic
  14. Neuronal Oscillations31 topic
  15. Sparse Representations31 topic
  16. DNA Sequences21 topic
  17. Genomic Signal Processing21 topic

Where does Bastian Seifert work?

Bastian Seifert's main affiliation in the publication record is Ansbach University of Applied Sciences, Germany.

How many publications and citations does Bastian Seifert have?

OpenAlex counts 21 works and 158 citations for Bastian Seifert, an h-index of 8, ranking #4,463,418 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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