Leipzig University vs Microsoft (United States)
On research quality in 2022-now, Microsoft (United States) ranks #293 in the world and Leipzig University #294, of 22,385 institutions. Leipzig University stands higher in 11 of the 15 fields both publish in, Microsoft (United States) in 4.
Research profiles alike: -0.09different shapes of research, whatever their size. How it is measured
Compare other institutions
Leipzig University
- World rank, 2022-now
- #294
- #449 all time
- Works, 2022-now
- 8.4k
- fractional
- Top-10% rate
- 10.6%
- share of its work among the world's most cited
- Open access
- 31%
- of its works free to read
Strongest relative focus: Equine, Veterinary, Language and Linguistics.
Microsoft (United States)
- World rank, 2022-now
- #293
- #161 all time
- Works, 2022-now
- 4.1k
- fractional
- Top-10% rate
- 20.7%
- share of its work among the world's most cited
- Open access
- 30%
- of its works free to read
Strongest relative focus: Software, Hardware and Architecture, Signal Processing.
Who leads, measure by measure?
Microsoft (United States) leads on 5 of 8 measures: research quality, citation excellence for its fields, top-10% rate, citations per work and international co-authorship. Leipzig University leads on 3 of 8 measures: output, open access and growth.
- #294Research qualityworld rank of 22,385 institutions, 2022-now#293
- 1.08×Citation excellence for its fieldsits top-10% rate against what its topics predict; 1.00× is as expected1.71×
- 8.4kOutputfractional works, 2022-now4.1k
- 10.6%Top-10% rateshare of its works among the world's most cited20.7%
- 19.2Citations per workall time, per fractional work71.0
- 31%Open accessof its works free to read, all time30%
- 18%Internationalof its works written with co-authors abroad, all time41%
- -4%Growthworks in 2022-25 against 2018-21; half a bar is no change-10%
A rank is drawn as its standing: the longer the bar, the nearer the top. Anything else is drawn against the larger of the two, and two values a hair apart are called level. Quality, citation excellence and the top-10% rate are explained in the methodology.
Who leads in each field?
Leipzig University stands higher in 11 of 15 fields, Microsoft (United States) in 4. Leipzig University leads most in Psychology (#123 against #445); Microsoft (United States) leads most in Computer Science (#18 against #759). Each bar is that side's standing among all institutions ranked in the field: the full bar is first place.
- #490Agricultural and Biological Sciences-
- #105Arts and Humanities-
- #295Biochemistry, Genetics and Molecular Biology#443
- #297Business, Management and Accounting#339
- #759Computer Science#18
- -Decision Sciences#119
- #372Economics, Econometrics and Finance-
- #908Engineering#313
- #243Environmental Science-
- #259Health Professions-
- #252Medicine#853
- #240Neuroscience-
- -Physics and Astronomy#346
- #123Psychology#445
- #206Social Sciences#717
Standing is the percentile of world rank within each field, 2022-now; the printed number is the rank itself. A dash means the field is too small there to rank. How sides are compared.
The numbers behind each field
Click a heading to sort. The side that does better in a pair of columns is shaded: a lower rank, a higher rate, more works.
| Field | Leipzig University rank | Microsoft (United States) rank | Leipzig University top 10% | Microsoft (United States) top 10% | Leipzig University works | Microsoft (United States) works |
|---|---|---|---|---|---|---|
| Agricultural and Biological Sciences | #490 | - | 14.9% | - | 126 | - |
| Arts and Humanities | #105 | - | 11.9% | - | 520 | - |
| Biochemistry, Genetics and Molecular Biology | #295 | #443 | 10.4% | 26.9% | 543 | 76 |
| Business, Management and Accounting | #297 | #339 | 12.2% | 14.8% | 183 | 101 |
| Computer Science | #759 | #18 | 7.8% | 23.6% | 300 | 2.2k |
| Decision Sciences | - | #119 | - | 18.2% | - | 116 |
| Economics, Econometrics and Finance | #372 | - | 12.2% | - | 106 | - |
| Engineering | #908 | #313 | 8.4% | 18.5% | 299 | 356 |
| Environmental Science | #243 | - | 15.7% | - | 218 | - |
| Health Professions | #259 | - | 12.5% | - | 207 | - |
| Medicine | #252 | #853 | 10.2% | 15.1% | 2.2k | 176 |
| Neuroscience | #240 | - | 9.7% | - | 236 | - |
| Physics and Astronomy | - | #346 | - | 22.5% | - | 67 |
| Psychology | #123 | #445 | 15.7% | 21.9% | 406 | 66 |
| Social Sciences | #206 | #717 | 11.3% | 20.5% | 1k | 208 |
Where does each put its research?
Not who is better, but what each side chooses to work on. A country or institution that puts twice the world's share of its research into a field sits at 2×, whatever its size.
- Veterinary4.5× 0.1×
- Arts and Humanities2.4× 0.2×
- Dentistry1.5× 0.1×
- Chemistry1.1× 0.1×
- Immunology and Microbiology1.6× 0.2×
- Medicine1.6× 0.3×
- Pharmacology, Toxicology and Pharmaceutics0.8× 0.2×
- Agricultural and Biological Sciences0.4× 0.1×
- Biochemistry, Genetics and Molecular Biology1.4× 0.4×
- Chemical Engineering0.6× 0.2×
- Energy0.3× 0.1×
- Environmental Science0.7× 0.2×
- Psychology1.8× 0.6×
- Nursing0.6× 0.2×
- Neuroscience2.0× 0.8×
- Social Sciences1.1× 0.5×
- Health Professions1.1× 0.5×
- Earth and Planetary Sciences0.8× 0.4×
- Materials Science0.6× 0.3×
- Mathematics1.1× 0.9×
- Physics and Astronomy1.0× 0.8×
- Economics, Econometrics and Finance0.6× 0.6×
- Business, Management and Accounting0.7× 0.8×
- Engineering0.3× 0.7×
- Decision Sciences0.7× 3.3×
- Computer Science0.5× 7.5×
Location quotient in 2022-now: the share of each side's research in the field over the world's share. 1× is the world's balance; the axis runs from a quarter of it to four times. Fields where Leipzig University leans further are at the top, Microsoft (United States)'s at the bottom. How research profiles are compared.
What is each known for?
The keywords that describe each side's research, by fractional works in 2022-now and weighted toward what it does more of than the world.
Leipzig University
- Language Variation
- Bildung
- Ethnografisches Schreiben
- Emotion Regulation
- Radiotherapy
- Cultural Studies
- Religion
- Clinical Practice Guidelines
- Anxiety
- Governance
- Metabolic Syndrome
- Immunotherapy
- Cardiovascular Disease
- Gender
- Nationalism
- Mental Health
- Depression
- Treatment
- Globalization
- Inflammation
- Epidemiology
- Climate Change
- Identity
- Public Health
- Quality of Life
- Obesity
- Cancer
- Risk Factors
- Diagnosis
- History
- Chemotherapy
- Genetics
- Literature
- Global Burden
- Prognostic Factors
- Qualitative Inhaltsanalyse
- Adolescents
- Bildungsungleichheit
- Cultural Memory
- Political Communication
All 40 words, with their numbers
- Epidemiology472▲ 1.42×129 topics
- Inflammation274▲ 1.54×81 topics
- Climate Change188▼ 0.83×91 topics
- Globalization171◆ 1.04×96 topics
- Identity165▲ 2.7×61 topics
- Treatment165▲ 1.62×50 topics
- Public Health153▲ 1.26×54 topics
- Depression147▲ 2.0×23 topics
- Quality of Life145▲ 1.20×51 topics
- Mental Health143▲ 1.19×40 topics
- Obesity137▲ 2.1×24 topics
- Nationalism134▲ 3.6×29 topics
- Cancer132▲ 1.18×51 topics
- Gender132▲ 2.9×43 topics
- Risk Factors130▲ 1.42×37 topics
- Cardiovascular Disease130▲ 1.36×37 topics
- Diagnosis123▲ 1.58×41 topics
- Immunotherapy118▲ 1.96×19 topics
- History118▲ 2.0×53 topics
- Metabolic Syndrome108▲ 1.59×23 topics
- Chemotherapy107▲ 1.80×25 topics
- Governance102▲ 3.8×15 topics
- Genetics101▲ 1.71×26 topics
- Anxiety98▲ 2.5×12 topics
- Literature93▲ 2.0×51 topics
- Clinical Practice Guidelines89▲ 1.94×14 topics
- Global Burden89▲ 1.96×12 topics
- Religion86▲ 2.2×32 topics
- Prognostic Factors85▲ 2.3×14 topics
- Cultural Studies80▲ 2.6×30 topics
- Qualitative Inhaltsanalyse76▲ 23×2 topics
- Radiotherapy75▲ 2.3×13 topics
- Adolescents73▲ 2.4×9 topics
- Emotion Regulation69▲ 2.6×9 topics
- Bildungsungleichheit54▲ 24×1 topic
- Ethnografisches Schreiben54▲ 24×1 topic
- Cultural Memory46▲ 11×4 topics
- Bildung46▲ 18×3 topics
- Political Communication42▲ 9.2×2 topics
- Language Variation40▲ 8.6×3 topics
Microsoft (United States)
- MapReduce
- Speaker Verification
- Hidden Markov Models
- Meta-Learning
- Image Captioning
- Visual Question Answering
- Surveillance
- Virtualization
- Cloud Computing
- Representation Learning
- Security
- Healthcare
- Statistical Machine Translation
- Corpus Linguistics
- Artificial Intelligence
- Semantic Similarity
- Topic Modeling
- Convolutional Neural Networks
- Big Data
- Neural Networks
- Deep Learning
- Machine Learning
- Information Retrieval
- Text Classification
- Machine Translation
- Word Representation
- Distributed Systems
- Neural Machine Translation
- Deep Neural Networks
- Data Mining
- Anomaly Detection
- Unsupervised Learning
- Semi-Supervised Learning
- Resource Management
- Semantic Reasoning
- IoT Security
- Multimodal Fusion
- Convolutional Networks
- Acoustic Modeling
- Data Centers
All 40 words, with their numbers
- Deep Learning810▲ 5.8×75 topics
- Neural Networks573▲ 9.1×36 topics
- Machine Learning505▲ 3.7×86 topics
- Big Data267▲ 6.8×23 topics
- Information Retrieval205▲ 23×5 topics
- Convolutional Neural Networks193▲ 6.5×14 topics
- Text Classification182▲ 27×3 topics
- Topic Modeling178▲ 28×2 topics
- Machine Translation172▲ 25×2 topics
- Semantic Similarity171▲ 34×1 topic
- Word Representation171▲ 34×1 topic
- Artificial Intelligence163▲ 2.8×39 topics
- Distributed Systems152▲ 22×6 topics
- Corpus Linguistics138▲ 16×5 topics
- Neural Machine Translation136▲ 36×1 topic
- Statistical Machine Translation136▲ 36×1 topic
- Deep Neural Networks122▲ 24×3 topics
- Healthcare117▲ 2.5×24 topics
- Data Mining116▲ 3.9×18 topics
- Security112▲ 4.1×21 topics
- Anomaly Detection112▲ 9.5×5 topics
- Representation Learning107▲ 16×3 topics
- Unsupervised Learning103▲ 17×3 topics
- Cloud Computing99▲ 8.5×8 topics
- Semi-Supervised Learning92▲ 18×3 topics
- Virtualization82▲ 24×3 topics
- Resource Management81▲ 12×3 topics
- Surveillance80▲ 7.0×6 topics
- Semantic Reasoning78▲ 21×2 topics
- Visual Question Answering78▲ 21×2 topics
- IoT Security77▲ 6.2×3 topics
- Image Captioning77▲ 34×1 topic
- Multimodal Fusion77▲ 34×1 topic
- Meta-Learning73▲ 21×2 topics
- Convolutional Networks66▲ 12×3 topics
- Hidden Markov Models66▲ 27×3 topics
- Acoustic Modeling63▲ 41×1 topic
- Speaker Verification63▲ 41×1 topic
- Data Centers62▲ 26×1 topic
- MapReduce62▲ 26×1 topic
Size is fractional works in the topics tagged with each word; colour is the word's share of the side's work against its share of the world's. Each word links to the topic it comes from most.
How has their output grown?
Leipzig University has out-published Microsoft (United States) every year since 2012, when it overtook it.
Fractional works per year.
Their share of all research
Growing output can still be a shrinking share, because all of science grows. Each line is a side as a percentage of every work published that year.
Fractional works over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
The share of each side's works, year by year, that reached the world's 10% most cited for their field and year. The average of all institutions is 10.0% (why not 10%).
A year with under 1% of the side's peak output is left out: a rate over a handful of papers says nothing. The latest years are still being cited.
Which publishes more research, Leipzig University or Microsoft (United States)?
Leipzig University publishes 2.0× as much research as Microsoft (United States) in 2022-now (8.4k against 4.1k fractional works).
Whose research has more impact, Leipzig University or Microsoft (United States)?
20.7% of Microsoft (United States)'s research reaches the world's top 10% most cited, against 10.6% for Leipzig University.
Is Leipzig University or Microsoft (United States) growing faster?
Output in 2022-25 was -4% against 2018-21 for Leipzig University, and -10% for Microsoft (United States).
Which has more open access research, Leipzig University or Microsoft (United States)?
31% of Leipzig University's research is free to read, against 30% of Microsoft (United States)'s.
Who are the top researchers on each side?
The most cited researchers on each side, among those ranked.
Leipzig University
- 1 Fons van der Plas #7,690 worldwide 15k citations · 154 works
- 2 Hannes Zacher #8,796 worldwide 23k citations · 529 works
- 3 Alexandra Weigelt #12,363 worldwide 25k citations · 346 works
- 4 Christian Wirth #12,396 worldwide 35k citations · 440 works
- 5 Cort W. Rudolph #18,677 worldwide 12k citations · 264 works
Microsoft (United States)
- 1 Richard Szeliski #934 worldwide 58k citations · 310 works
- 2 C. Lawrence Zitnick #3,235 worldwide 86k citations · 160 works
- 3 Zhe Gan #5,905 worldwide 17k citations · 251 works
- 4 Srikanth Kandula #6,502 worldwide 19k citations · 132 works
- 5 Wen-tau Yih #10,602 worldwide 19k citations · 188 works