- Research works
- 80 ▲ 143% vs 2018-21
- Citations
- 2.6k 33.0 per fractional work
- Top-10% rate
- 9.3% all institutions 10.0%
- Open access
- 41% world 40%
- International
- 39% world 18%
Not ranked overall: Molecular Networks (Germany) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
Which fields of science does Molecular Networks (Germany) work in?
In 2022-now, 65% of research at Molecular Networks (Germany) is in Physical Sciences, 13% in Health Sciences. Its largest fields are Engineering (32%), Computer Science (14%), Medicine (11%). It does 1.5× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 20 fields, with their numbers
- Physical Sciences1764.6%
- Engineering831.8%
- Computer Science414.5%
- Mathematics28.2%
- Environmental Science26.7%
- Materials Science01.4%
- Earth and Planetary Sciences01.1%
- Physics and Astronomy00.4%
- Chemical Engineering00.4%
- Health Sciences313.1%
- Medicine310.6%
- Health Professions01.3%
- Veterinary01.2%
- Life Sciences312.4%
- Social Sciences39.9%
- Social Sciences14.6%
- Psychology13.6%
- Arts and Humanities00.9%
- Economics, Econometrics and Finance00.4%
- Decision Sciences00.4%
Field profile
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.
Rings at 0.5×, 1× and 2×. Widest outward: Veterinary, 9.3×. Every wedge is a field page.
All 20 fields, with their numbers
- Veterinary9.26×0 works
- Mathematics6.99×2 works
- Engineering2.12×8 works
- Computer Science1.86×4 works
- Neuroscience1.75×1 works
- Environmental Science1.36×2 works
- Psychology1.18×1 works
- Chemical Engineering1.02×0 works
- Agricultural and Biological Sciences0.92×1 works
- Biochemistry, Genetics and Molecular Biology0.90×1 works
- Earth and Planetary Sciences0.72×0 works
- Medicine0.55×3 works
- Health Professions0.51×0 works
- Materials Science0.40×0 works
- Decision Sciences0.37×0 works
- Social Sciences0.36×1 works
- Immunology and Microbiology0.35×0 works
- Arts and Humanities0.33×0 works
- Economics, Econometrics and Finance0.20×0 works
- Physics and Astronomy0.19×0 works
- Veterinary 9.3×
- Mathematics 7.0×
- Engineering 2.1×
- Computer Science 1.9×
- Neuroscience 1.8×
- Environmental Science 1.4×
- Psychology 1.2×
- Chemical Engineering 1.0×
- Agricultural and Biological Sciences 0.9×
- Biochemistry, Genetics and Molecular Biology 0.9×
- Earth and Planetary Sciences 0.7×
- Medicine 0.6×
- Health Professions 0.5×
- Materials Science 0.4×
- Decision Sciences 0.4×
- Social Sciences 0.4×
- Immunology and Microbiology 0.3×
- Arts and Humanities 0.3×
- Economics, Econometrics and Finance 0.2×
- Physics and Astronomy 0.2×
Who are the top researchers at Molecular Networks (Germany)?
Ranked on the quality score, Lothar Terfloth, Chihae Yang and Bruno Bienfait lead among researchers whose main affiliation is Molecular Networks (Germany).
- 1
Lothar Terfloth
Germany · #1,031,525 worldwide 3.4k citations · 36 works
- 2
Chihae Yang
Germany · #1,059,573 worldwide 6.9k citations · 122 works
- 3
Bruno Bienfait
Germany · #1,424,481 worldwide 1.6k citations · 47 works
- 4
Christof H. Schwab
Germany · #2,005,969 worldwide 1.4k citations · 34 works
- 5
Oliver Sacher
Germany · #3,787,643 worldwide 575 citations · 30 works
- 6
Bryan Hobocienski
Germany · #4,130,806 worldwide 105 citations · 16 works
- 7
Aleksandra Mostrąg
Germany · #4,350,089 worldwide 621 citations · 41 works
Which keywords describe research at Molecular Networks (Germany)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Wireless Sensor Networks, Control Strategies, Neural Network, Wavelet Transform, Harmonic Filters, Power Quality, Machine Learning and Deep Learning.
- Power Quality
- Wavelet Transform
- Control Strategies
- Wireless Sensor Networks
- Machine Learning
- Deep Learning
- Neural Network
- Harmonic Filters
Size is fractional works in 2022-now in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 8 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 8 words, with their numbers
- Machine Learning2▲ 2.1×10 topics
- Wireless Sensor Networks2▲ 13×3 topics
- Deep Learning1▲ 1.58×10 topics
- Control Strategies1▲ 37×2 topics
- Neural Network1▲ 25×2 topics
- Wavelet Transform1▲ 19×2 topics
- Harmonic Filters1▲ 299×1 topic
- Power Quality1▲ 299×1 topic
Which research topics does Molecular Networks (Germany) publish most on?
By volume in 2022-now: Power Quality and Harmonics, Smart Grid Security and Resilience, Optical Network Technologies and Advanced Photonic Communication Systems.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Power Quality and Harmonics Electrical and Electronic Engineering 1 works
- 2 Smart Grid Security and Resilience Control and Systems Engineering 1 works
- 3 Optical Network Technologies Electrical and Electronic Engineering 1 works
- 4 Advanced Photonic Communication Systems Electrical and Electronic Engineering 1 works
- 5 Microstructure and Mechanical Properties of Steels Mechanical Engineering 0 works
- 6 Network Time Synchronization Technologies Computer Networks and Communications 0 works
- 7 Underwater Vehicles and Communication Systems Ocean Engineering 0 works
- 8 Indoor and Outdoor Localization Technologies Electrical and Electronic Engineering 0 works
- 9 Advanced Optical Network Technologies Electrical and Electronic Engineering 0 works
- 10 Effects and risks of endocrine disrupting chemicals Health, Toxicology and Mutagenesis 0 works
How open and international is its research?
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.
World: 40% of research is openly available.
World: 18% is written across borders.
How has Molecular Networks (Germany)'s research output changed?
Output in 2022-2025 was 143% higher than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Molecular Networks (Germany) as a percentage of every work published that year, 0.000100% in 2024.
Fractional works of Molecular Networks (Germany) over all fractional works that year. How the balance of science has shifted.
Other research institutions in Erlangen
- Friedrich-Alexander-Universität Erlangen-Nürnberg
- Bayerisches Landesamt für Gesundheit und Lebensmittelsicherheit
- Comprehensive Cancer Center Erlangen
- Framatome (Germany)
- Institut für Frauengesundheit
- Malteser Waldkrankenhaus Erlangen
- FMP Technology (Germany)
- Cerbomed (Germany)
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Discussion
Ask a question or share a note about Molecular Networks (Germany). Posts are plain text and can be reported.