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Researcher · Tohoku University · Japan

Johan Sveholm

Johan Sveholm publishes mostly in Artificial Intelligence, Information Systems and Computer Networks and Communications, on topics such as Service-Oriented Architecture and Web Services, Data Mining Algorithms and Applications and Neural Networks and Applications.

OpenAlex
World rank
#6,759,039
of 7,710,434 ranked researchers
Rank in Japan
#285,083
of 383,136
Works
15
Citations
22
Citations per work
1.5
h-index
3
i10-index 0Top 95% in Artificial Intelligence
Johan Sveholm

What does Johan Sveholm research?

Johan Sveholm's work is mostly in Computer Science (79%), Engineering (7%), Decision Sciences (5%).

Physical Sciences: 13 works · 85.7% of their workComputer Science: 12 works · 78.6% of their workArtificial Intelligence: 5 works · 33.3% of their workInformation Systems: 4 works · 23.8% of their workComputer Networks and Communications: 3 works · 16.7% of their workComputer Vision and Pattern Recognition: 1 works · 4.8% of their workEngineering: 1 works · 7.1% of their workControl and Systems Engineering: 1 works · 7.1% of their workEverything else: 1 works · 9.5% of their workSocial Sciences: 1 works · 4.8% of their workDecision Sciences: 1 works · 4.8% of their workStatistics, Probability and Uncertainty: 1 works · 4.8% of their workTHEIR WORKJohan Sveholm15works
Physical Sciences86%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. Computer Science1278.6%
    2. Engineering17.1%
  2. Everything else19.5%
    1. Decision Sciences14.8%
  1. 1Artificial Intelligence33% of their works
  2. 2Information Systems24% of their works
  3. 3Computer Networks and Communications17% of their works
  4. 4Control and Systems Engineering7% of their works
  5. 5Computer Vision and Pattern Recognition5% of their works
  6. 6Statistics, Probability and Uncertainty5% of their works

Research topics

Which keywords describe Johan Sveholm's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Distributed Systems, Data Mining, Frequent Patterns, QoS-Aware Middleware, Semantic Web Services and Active Learning.

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 19 words, with their numbers
  1. Machine Learning93 topics
  2. Deep Learning62 topics
  3. Distributed Systems52 topics
  4. Data Mining41 topic
  5. Frequent Patterns41 topic
  6. QoS-Aware Middleware41 topic
  7. Semantic Web Services41 topic
  8. Active Learning31 topic
  9. Hyperparameter Optimization31 topic
  10. Mobile Agents31 topic
  11. Network Management31 topic
  12. Neural Networks31 topic
  13. Noisy Labels31 topic
  14. Self-Organizing Maps31 topic
  15. Semi-Supervised Learning31 topic
  16. Big Data21 topic
  17. Data Analysis21 topic
  18. Log Analysis21 topic
  19. Performance Prediction21 topic

Where does Johan Sveholm work?

Johan Sveholm's main affiliation in the publication record is Tohoku University, Japan.

How many publications and citations does Johan Sveholm have?

OpenAlex counts 15 works and 22 citations for Johan Sveholm, an h-index of 3, ranking #6,759,039 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.

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