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Researcher · IIJ Research Laboratory · Japan

Romain Fontugne

Romain Fontugne publishes mostly in Computer Networks and Communications, Artificial Intelligence and Statistical and Nonlinear Physics, on topics such as Network Security and Intrusion Detection, Internet Traffic Analysis and Secure E-voting and Anomaly Detection Techniques and Applications.

ORCID 0000-0002-9816-5625 OpenAlex
World rank
#1,966,681
of 7,710,434 ranked researchers
Rank in Japan
#35,436
of 383,136
Works
81
Citations
1.3k
Citations per work
15.7
h-index
19
i10-index 31Top 15% in Computer Networks and Communications
Romain Fontugne

What does Romain Fontugne research?

Romain Fontugne's work is mostly in Computer Science (69%), Physics and Astronomy (7%), Engineering (6%).

Physical Sciences: 67 works · 82.8% of their workComputer Science: 56 works · 69.1% of their workComputer Networks and Communications: 28 works · 34.1% of their workArtificial Intelligence: 22 works · 27.3% of their workHardware and Architecture: 4 works · 4.5% of their workInformation Systems: 3 works · 3.2% of their workPhysics and Astronomy: 6 works · 7.3% of their workStatistical and Nonlinear Physics: 6 works · 7.3% of their workEngineering: 5 works · 6.4% of their workElectrical and Electronic Engineering: 5 works · 6.4% of their workEverything else: 14 works · 17.2% of their workTHEIR WORKRomain Fontugne81works
Physical Sciences83%

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 Science5669.1%
    2. Physics and Astronomy67.3%
    3. Engineering56.4%
  2. Everything else1417.2%
  1. 1Computer Networks and Communications34% of their works
  2. 2Artificial Intelligence27% of their works
  3. 3Statistical and Nonlinear Physics7% of their works
  4. 4Electrical and Electronic Engineering6% of their works
  5. 5Hardware and Architecture4% of their works
  6. 6Information Systems3% of their works

Research topics

Which keywords describe Romain Fontugne's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Anomaly Detection, Intrusion Detection, DDoS Attacks, Network Security, Classification 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. 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 20 words, with their numbers
  1. Deep Learning893 topics
  2. Machine Learning712 topics
  3. Anomaly Detection603 topics
  4. Intrusion Detection482 topics
  5. DDoS Attacks381 topic
  6. Network Security381 topic
  7. Classification331 topic
  8. Internet Traffic331 topic
  9. Outlier Detection181 topic
  10. Unsupervised181 topic
  11. Community Structure151 topic
  12. Congestion Control151 topic
  13. Network Dynamics151 topic
  14. TCP151 topic
  15. Deep Packet Inspection101 topic
  16. Packet Classification101 topic
  17. Handoff Decision Algorithms61 topic
  18. Mobility Support61 topic
  19. Log Analysis41 topic
  20. Performance Prediction41 topic

Where does Romain Fontugne work?

Romain Fontugne's main affiliation in the publication record is IIJ Research Laboratory, Japan.

How many publications and citations does Romain Fontugne have?

OpenAlex counts 81 works and 1,275 citations for Romain Fontugne, an h-index of 19, ranking #1,966,681 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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