Intel (Germany)

The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.

Each strip is that field’s whole ranked pool, with the notch where Intel (Germany) sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).

Where its research is concentrated relative to its size: Electrical and Electronic Engineering takes 6.2× the share of its output that it takes of world research.

1. Electrical and Electronic EngineeringSubfield · 24.4 works6.2×
2. Computer ScienceField · 48.7 works5.7×

Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.

Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.

• Computer Science 5.7×
• Engineering 2.5×
• Decision Sciences 1.5×
• Physics and Astronomy 1.5×
• Immunology and Microbiology 0.9×
• Economics, Econometrics and Finance 0.8×
• Neuroscience 0.6×
• Dentistry 0.5×
• Social Sciences 0.4×
• Psychology 0.4×
• Health Professions 0.2×
• Business, Management and Accounting 0.2×
• Environmental Science 0.1×
• Mathematics 0.1×
• Chemistry 0.1×
• Agricultural and Biological Sciences 0.1×
• Materials Science 0.1×
• Medicine 0.1×
• Biochemistry, Genetics and Molecular Biology 0.0×
• Arts and Humanities 0.0×

Ranked on the composite score, Thomas Willhalm, Valerio Frascolla and Christian Wachsmann lead among researchers whose main affiliation is Intel (Germany).

1. 1 🇩🇪 Thomas Willhalm Germany · #231,696 worldwide 238 citations · 17 works
2. 2 🇩🇪 Valerio Frascolla Germany · #624,518 worldwide 110 citations · 44 works
3. 3 🇩🇪 Christian Wachsmann Germany · #624,760 worldwide 85 citations · 15 works
4. 4 🇩🇪 Dario Sabella Germany · #649,075 worldwide 85 citations · 22 works
5. 5 🇩🇪 Markus Mueck Germany · #794,948 worldwide 63 citations · 38 works

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Energy Efficiency, Machine Learning, Distributed Systems, CMOS Technology, Parallel Computing and Security.

By volume in 2022–2025: VLSI and Analog Circuit Testing, Parallel Computing and Optimization Techniques, Adversarial Robustness in Machine Learning and Advanced Neural Network Applications.

1. 1 VLSI and Analog Circuit Testing Hardware and Architecture 2 works
2. 2 Parallel Computing and Optimization Techniques Hardware and Architecture 2 works
3. 3 Adversarial Robustness in Machine Learning Artificial Intelligence 2 works
4. 4 Advanced Neural Network Applications Computer Vision and Pattern Recognition 2 works
5. 5 Cryptography and Data Security Artificial Intelligence 2 works
6. 6 Advanced MIMO Systems Optimization Electrical and Electronic Engineering 2 works
7. 7 Semiconductor materials and devices Electrical and Electronic Engineering 2 works
8. 8 Integrated Circuits and Semiconductor Failure Analysis Electrical and Electronic Engineering 2 works
9. 9 IoT and Edge/Fog Computing Computer Networks and Communications 2 works
10. 10 Advancements in Semiconductor Devices and Circuit Design Electrical and Electronic Engineering 2 works

Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.

Output in 2018–2022 was 23% lower than in 2013–2017.

• Ludwig-Maximilians-Universität München
• Max Planck Society
• Technical University of Munich
• Siemens (Germany)
• München Klinik
• LMU Klinikum
• Munich University of Applied Sciences
• TUM Klinikum