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Researcher · Daimler (Germany) · Germany

Jochen Hipp

Jochen Hipp publishes mostly in Information Systems, Automotive Engineering and Artificial Intelligence, on topics such as Data Mining Algorithms and Applications, Rough Sets and Fuzzy Logic and Autonomous Vehicle Technology and Safety.

ORCID 0000-0002-9037-9899 OpenAlex
World rank
#1,285,792
of 7,710,434 ranked researchers
Rank in Germany
#63,332
of 364,343
Works
37
Citations
2.5k
Citations per work
67.8
h-index
15
i10-index 18Top 8.8% in Information Systems
Jochen Hipp

What does Jochen Hipp research?

Jochen Hipp's work is mostly in Computer Science (48%), Engineering (20%).

Physical Sciences: 25 works · 67.2% of their workComputer Science: 18 works · 47.6% of their workInformation Systems: 6 works · 15.9% of their workArtificial Intelligence: 4 works · 12.1% of their workComputational Theory and Mathematics: 4 works · 11.2% of their workSignal Processing: 3 works · 8.4% of their workEngineering: 7 works · 19.6% of their workAutomotive Engineering: 5 works · 13.1% of their workCivil and Structural Engineering: 2 works · 6.5% of their workEverything else: 12 works · 32.8% of their workTHEIR WORKJochen Hipp37works
Physical Sciences67%

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 Science1847.6%
    2. Engineering719.6%
  2. Everything else1232.8%
  1. 1Information Systems16% of their works
  2. 2Automotive Engineering13% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Computational Theory and Mathematics11% of their works
  5. 5Signal Processing8% of their works
  6. 6Civil and Structural Engineering6% of their works

Research topics

Which keywords describe Jochen Hipp's research?

The keywords of their largest research topics: Machine Learning, Data Mining, Frequent Patterns, Deep Learning, Granular Computing, Rough Sets, Autonomous Vehicles and Trajectory Prediction.

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 18 words, with their numbers
  1. Machine Learning282 topics
  2. Data Mining171 topic
  3. Frequent Patterns171 topic
  4. Deep Learning142 topics
  5. Granular Computing121 topic
  6. Rough Sets121 topic
  7. Autonomous Vehicles111 topic
  8. Trajectory Prediction111 topic
  9. GPS Trajectories81 topic
  10. Trajectory Data Mining81 topic
  11. Microscopic Simulation41 topic
  12. Traffic Flow41 topic
  13. Crack Detection31 topic
  14. Eco-Driving31 topic
  15. Fuel Consumption31 topic
  16. Ontology31 topic
  17. Pavement31 topic
  18. Semantic Web31 topic

Where does Jochen Hipp work?

Jochen Hipp's main affiliation in the publication record is Daimler (Germany), Germany.

How many publications and citations does Jochen Hipp have?

OpenAlex counts 37 works and 2,507 citations for Jochen Hipp, an h-index of 15, ranking #1,285,792 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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