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Researcher · SBA Research · Austria

Martin Schmiedecker

Martin Schmiedecker publishes mostly in Information Systems, Artificial Intelligence and Signal Processing, on topics such as Advanced Malware Detection Techniques, Internet Traffic Analysis and Secure E-voting and Digital and Cyber Forensics.

OpenAlex
World rank
#2,488,083
of 7,710,434 ranked researchers
Rank in Austria
#15,002
of 43,330
Works
15
Citations
307
Citations per work
20.5
h-index
8
i10-index 8Top 30% in Information Systems
Martin Schmiedecker

What does Martin Schmiedecker research?

Martin Schmiedecker's work is mostly in Computer Science (86%), Social Sciences (7%).

Physical Sciences: 13 works · 86.0% of their workComputer Science: 13 works · 86.0% of their workInformation Systems: 3 works · 20.9% of their workArtificial Intelligence: 3 works · 18.6% of their workSignal Processing: 3 works · 18.6% of their workComputer Vision and Pattern Recognition: 2 works · 16.3% of their workComputer Networks and Communications: 2 works · 11.6% of their workSocial Sciences: 1 works · 7.0% of their workSocial Sciences: 1 works · 7.0% of their workSociology and Political Science: 1 works · 7.0% of their workEverything else: 1 works · 7.0% of their workTHEIR WORKMartinSchmiedecker15works
Physical Sciences86%Social Sciences7%

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 Science1386.0%
    1. Social Sciences17.0%
  3. Everything else17.0%
  1. 1Information Systems21% of their works
  2. 2Artificial Intelligence19% of their works
  3. 3Signal Processing19% of their works
  4. 4Computer Vision and Pattern Recognition16% of their works
  5. 5Computer Networks and Communications12% of their works
  6. 6Sociology and Political Science7% of their works

Research topics

Which keywords describe Martin Schmiedecker's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, IoT Security, Android Malware, Detection, Digital Forensics, Security and Classification.

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 21 words, with their numbers
  1. Deep Learning225 topics
  2. Machine Learning163 topics
  3. IoT Security102 topics
  4. Android Malware81 topic
  5. Detection81 topic
  6. Digital Forensics72 topics
  7. Security72 topics
  8. Classification61 topic
  9. Internet Traffic61 topic
  10. Cloud Computing51 topic
  11. Internet of Things51 topic
  12. Reversible Data Embedding41 topic
  13. Steganography41 topic
  14. Online Social Networks31 topic
  15. Privacy Concerns31 topic
  16. Authentication21 topic
  17. Biometrics21 topic
  18. Copy-Move Forgery21 topic
  19. Image Forgery Detection21 topic
  20. Intrusion Detection21 topic
  21. Network Security21 topic

Where does Martin Schmiedecker work?

Martin Schmiedecker's main affiliation in the publication record is SBA Research, Austria.

How many publications and citations does Martin Schmiedecker have?

OpenAlex counts 15 works and 307 citations for Martin Schmiedecker, an h-index of 8, ranking #2,488,083 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.

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