Science Explorer Back to mapMap
Discussion
Researcher · University of Patras · Greece

Thomas Papastergiou

Thomas Papastergiou publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Internet Traffic Analysis and Secure E-voting, Tensor decomposition and applications and Lung Cancer Diagnosis and Treatment.

ORCID 0000-0002-0241-080X OpenAlex
World rank
#3,804,089
of 7,710,434 ranked researchers
Rank in Greece
#17,396
of 33,280
Works
27
Citations
283
Citations per work
10.5
h-index
8
i10-index 5Top 56% in Artificial Intelligence
Thomas Papastergiou

What does Thomas Papastergiou research?

Thomas Papastergiou's work is mostly in Computer Science (43%), Medicine (7%), Social Sciences (5%).

Everything else: 12 works · 44.4% of their workPhysical Sciences: 12 works · 43.4% of their workComputer Science: 12 works · 43.4% of their workArtificial Intelligence: 5 works · 17.6% of their workComputer Vision and Pattern Recognition: 3 works · 12.2% of their workComputer Networks and Communications: 2 works · 6.8% of their workHardware and Architecture: 2 works · 6.8% of their workHealth Sciences: 2 works · 6.8% of their workMedicine: 2 works · 6.8% of their workPulmonary and Respiratory Medicine: 2 works · 6.8% of their workSocial Sciences: 1 works · 5.4% of their workSocial Sciences: 1 works · 5.4% of their workCommunication: 1 works · 5.4% of their workTHEIR WORKThomasPapastergiou27works
Physical Sciences43%Health Sciences7%Social Sciences5%

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. Everything else1244.4%
    1. Computer Science1243.4%
    1. Medicine26.8%
    1. Social Sciences15.4%
  1. 1Artificial Intelligence18% of their works
  2. 2Computer Vision and Pattern Recognition12% of their works
  3. 3Computer Networks and Communications7% of their works
  4. 4Hardware and Architecture7% of their works
  5. 5Pulmonary and Respiratory Medicine7% of their works
  6. 6Communication5% of their works

Research topics

Which keywords describe Thomas Papastergiou's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Intrusion Detection, IoT Security, Classification, CT Screening, Digital Divide and Internet Traffic.

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.

All 20 words, with their numbers
  1. Machine Learning125 topics
  2. Deep Learning73 topics
  3. Intrusion Detection42 topics
  4. IoT Security42 topics
  5. CT Screening31 topic
  6. Classification31 topic
  7. Digital Divide31 topic
  8. Internet Traffic31 topic
  9. Lung Cancer31 topic
  10. Multilinear Algebra31 topic
  11. Social Media31 topic
  12. Tensor Decomposition31 topic
  13. Android Malware21 topic
  14. DDoS Attacks21 topic
  15. Deep Packet Inspection21 topic
  16. Detection21 topic
  17. Molecular Docking21 topic
  18. Network Security21 topic
  19. Packet Classification21 topic
  20. Virtual Screening21 topic

Where does Thomas Papastergiou work?

Thomas Papastergiou's main affiliation in the publication record is University of Patras, Greece.

How many publications and citations does Thomas Papastergiou have?

OpenAlex counts 27 works and 283 citations for Thomas Papastergiou, an h-index of 8, ranking #3,804,089 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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

Ask a question or share a note about Thomas Papastergiou. Posts are plain text and can be reported.