Carleton University vs Tencent (China)
On research quality in 2022-now, Carleton University ranks #691 in the world and Tencent (China) #692, of 22,385 institutions. Carleton University stands higher in 13 of the 14 fields both publish in, Tencent (China) in 1.
Compare other institutions
Carleton University
- World rank, 2022-now
- #691
- #811 all time
- Works, 2022-now
- 6.4k
- fractional
- Top-10% rate
- 10.8%
- share of its work among the world's most cited
- Open access
- 26%
- of its works free to read
Strongest relative focus: Public Administration, Discrete Mathematics and Combinatorics, Classics.
Tencent (China)
- World rank, 2022-now
- #692
- #825 all time
- Works, 2022-now
- 1.8k
- fractional
- Top-10% rate
- 21.2%
- share of its work among the world's most cited
- Open access
- 42%
- of its works free to read
Strongest relative focus: Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Signal Processing.
Who leads, measure by measure?
Tencent (China) leads on 6 of 8 measures: citation excellence for its fields, top-10% rate, citations per work, open access, international co-authorship and growth. Carleton University leads on 2 of 8 measures: research quality and output.
- #691Research qualityworld rank of 22,385 institutions, 2022-now#692
- 0.94×Citation excellence for its fieldsits top-10% rate against what its topics predict; 1.00× is as expected1.65×
- 6.4kOutputfractional works, 2022-now1.8k
- 10.8%Top-10% rateshare of its works among the world's most cited21.2%
- 22.5Citations per workall time, per fractional work29.4
- 26%Open accessof its works free to read, all time42%
- 20%Internationalof its works written with co-authors abroad, all time35%
- +8%Growthworks in 2022-25 against 2018-21; half a bar is no change+46%
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?
Carleton University stands higher in 13 of 14 fields, Tencent (China) in 1. Carleton University leads most in Engineering (#459 against #497); Tencent (China) leads most in Computer Science (#80 against #620). Each bar is that side's standing among all institutions ranked in the field: the full bar is first place.
- #809Agricultural and Biological Sciences-
- #459Arts and Humanities-
- #1,430Biochemistry, Genetics and Molecular Biology-
- #1,068Business, Management and Accounting-
- #620Computer Science#80
- #494Earth and Planetary Sciences-
- #630Economics, Econometrics and Finance-
- #459Engineering#497
- #424Environmental Science-
- #648Health Professions-
- #1,179Medicine-
- #538Physics and Astronomy-
- #401Psychology-
- #583Social Sciences-
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 | Carleton University rank | Tencent (China) rank | Carleton University top 10% | Tencent (China) top 10% | Carleton University works | Tencent (China) works |
|---|---|---|---|---|---|---|
| Agricultural and Biological Sciences | #809 | - | 12.5% | - | 131 | - |
| Arts and Humanities | #459 | - | 10.9% | - | 294 | - |
| Biochemistry, Genetics and Molecular Biology | #1,430 | - | 8.1% | - | 172 | - |
| Business, Management and Accounting | #1,068 | - | 12.9% | - | 129 | - |
| Computer Science | #620 | #80 | 9.3% | 21.6% | 739 | 1.1k |
| Earth and Planetary Sciences | #494 | - | 10.8% | - | 144 | - |
| Economics, Econometrics and Finance | #630 | - | 10.8% | - | 131 | - |
| Engineering | #459 | #497 | 12.0% | 25.4% | 1.1k | 200 |
| Environmental Science | #424 | - | 11.5% | - | 386 | - |
| Health Professions | #648 | - | 10.5% | - | 134 | - |
| Medicine | #1,179 | - | 9.2% | - | 310 | - |
| Physics and Astronomy | #538 | - | 8.5% | - | 105 | - |
| Psychology | #401 | - | 10.0% | - | 358 | - |
| Social Sciences | #583 | - | 12.0% | - | 1.1k | - |
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.
- Energy0.6× 0.0×
- Health Professions0.8× 0.1×
- Environmental Science1.4× 0.2×
- Social Sciences1.5× 0.2×
- Agricultural and Biological Sciences0.5× 0.1×
- Economics, Econometrics and Finance1.0× 0.2×
- Psychology2.1× 0.4×
- Dentistry0.1× 0.0×
- Arts and Humanities1.7× 0.3×
- Chemical Engineering0.3× 0.1×
- Earth and Planetary Sciences1.6× 0.4×
- Mathematics1.5× 0.3×
- Chemistry0.3× 0.1×
- Pharmacology, Toxicology and Pharmaceutics0.2× 0.1×
- Nursing0.5× 0.2×
- Neuroscience1.4× 0.6×
- Business, Management and Accounting0.7× 0.3×
- Immunology and Microbiology0.3× 0.1×
- Materials Science0.4× 0.2×
- Medicine0.3× 0.1×
- Engineering1.3× 0.8×
- Biochemistry, Genetics and Molecular Biology0.6× 0.4×
- Physics and Astronomy0.8× 0.6×
- Veterinary0.2× 0.3×
- Decision Sciences1.3× 1.9×
- Computer Science1.6× 9.0×
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 Carleton University leans further are at the top, Tencent (China)'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.
Carleton University
- minorities
- Decolonization
- Fisheries Sustainability
- National Identity
- Mobile Edge Computing
- Social Policy
- Feminism
- Global Governance
- Model Predictive Control
- Immigration
- Religion
- Ethics
- Security
- Gender
- Social Media
- Human Rights
- Identity
- Neural Networks
- Globalization
- Climate Change
- Deep Learning
- Machine Learning
- Mental Health
- Sustainability
- Energy Efficiency
- Nationalism
- History
- Colonialism
- Artificial Neural Networks
- Neoliberalism
- IoT Security
- 5G Networks
- International Law
- Politics
- Security and Privacy
- Habitat Fragmentation
- Wireless Communications
- NGOs
- Energy Simulation
- Canada
All 40 words, with their numbers
- Deep Learning317▲ 1.43×79 topics
- Climate Change298▲ 1.71×90 topics
- Machine Learning247◆ 1.15×85 topics
- Globalization232▲ 1.84×106 topics
- Mental Health167▲ 1.81×40 topics
- Neural Networks146▲ 1.47×37 topics
- Sustainability145◆ 0.93×83 topics
- Identity130▲ 2.8×51 topics
- Energy Efficiency126▲ 2.1×30 topics
- Human Rights119▲ 1.81×57 topics
- Nationalism106▲ 3.7×25 topics
- Social Media98◆ 1.11×30 topics
- History96▲ 2.2×39 topics
- Gender86▲ 2.5×46 topics
- Colonialism85▲ 2.8×38 topics
- Security74▲ 1.72×25 topics
- Artificial Neural Networks70▲ 2.4×8 topics
- Ethics68▲ 2.1×32 topics
- Neoliberalism68▲ 2.9×24 topics
- Religion67▲ 2.3×31 topics
- IoT Security67▲ 3.4×3 topics
- Immigration63▲ 8.8×8 topics
- 5G Networks61▲ 4.7×5 topics
- Model Predictive Control58▲ 3.6×6 topics
- International Law57▲ 2.8×20 topics
- Global Governance56▲ 3.7×18 topics
- Politics56▲ 3.3×18 topics
- Feminism55▲ 2.9×20 topics
- Security and Privacy50▲ 4.2×3 topics
- Social Policy48▲ 8.4×4 topics
- Habitat Fragmentation48▲ 3.5×5 topics
- Mobile Edge Computing47▲ 4.6×2 topics
- Wireless Communications46▲ 4.2×5 topics
- National Identity38▲ 5.1×8 topics
- NGOs36▲ 6.1×4 topics
- Fisheries Sustainability36▲ 6.4×2 topics
- Energy Simulation35▲ 6.0×2 topics
- Decolonization34▲ 6.5×6 topics
- Canada32▲ 45×1 topic
- minorities32▲ 45×1 topic
Tencent (China)
- Stereo Vision
- Knowledge Graph Embedding
- Heterogeneous Networks
- Graph Convolutional Networks
- Depth Estimation
- Collaborative Filtering
- Domain Adaptation
- Pose Estimation
- Feature Extraction
- Meta-Learning
- Image Captioning
- Semantic Reasoning
- Neural Machine Translation
- Word Representation
- Semi-Supervised Learning
- Machine Translation
- Text Classification
- Unsupervised Learning
- Machine Learning
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Representation Learning
- Information Retrieval
- Topic Modeling
- Convolutional Networks
- Semantic Similarity
- Corpus Linguistics
- Statistical Machine Translation
- Visual Question Answering
- Multimodal Fusion
- Transfer Learning
- Generative Adversarial Networks
- Deep Neural Networks
- Few-Shot Learning
- Matrix Factorization
- Image Classification
- Computer Vision
- Graph Neural Networks
- Optical Flow
All 40 words, with their numbers
- Deep Learning665▲ 11×78 topics
- Neural Networks402▲ 15×34 topics
- Convolutional Neural Networks166▲ 13×14 topics
- Machine Learning165▲ 2.8×69 topics
- Representation Learning116▲ 41×3 topics
- Unsupervised Learning116▲ 43×3 topics
- Information Retrieval104▲ 27×5 topics
- Text Classification96▲ 34×2 topics
- Topic Modeling89▲ 33×2 topics
- Machine Translation89▲ 30×2 topics
- Convolutional Networks87▲ 36×3 topics
- Semi-Supervised Learning87▲ 40×3 topics
- Semantic Similarity87▲ 40×1 topic
- Word Representation87▲ 40×1 topic
- Corpus Linguistics70▲ 19×3 topics
- Neural Machine Translation68▲ 42×1 topic
- Statistical Machine Translation68▲ 42×1 topic
- Semantic Reasoning65▲ 40×2 topics
- Visual Question Answering65▲ 40×2 topics
- Image Captioning64▲ 65×1 topic
- Multimodal Fusion64▲ 65×1 topic
- Meta-Learning57▲ 38×2 topics
- Transfer Learning56▲ 16×3 topics
- Feature Extraction54▲ 6.7×10 topics
- Generative Adversarial Networks54▲ 34×2 topics
- Pose Estimation51▲ 25×3 topics
- Deep Neural Networks49▲ 23×3 topics
- Domain Adaptation48▲ 49×1 topic
- Few-Shot Learning48▲ 49×1 topic
- Collaborative Filtering45▲ 71×1 topic
- Matrix Factorization45▲ 71×1 topic
- Depth Estimation40▲ 29×2 topics
- Image Classification39▲ 12×3 topics
- Graph Convolutional Networks39▲ 19×2 topics
- Computer Vision37▲ 7.5×4 topics
- Heterogeneous Networks36▲ 20×2 topics
- Graph Neural Networks36▲ 38×1 topic
- Knowledge Graph Embedding36▲ 38×1 topic
- Optical Flow36▲ 42×1 topic
- Stereo Vision36▲ 42×1 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?
Carleton University has out-published Tencent (China) every year since 1982.
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, Carleton University or Tencent (China)?
Carleton University publishes 3.6× as much research as Tencent (China) in 2022-now (6.4k against 1.8k fractional works).
Whose research has more impact, Carleton University or Tencent (China)?
21.2% of Tencent (China)'s research reaches the world's top 10% most cited, against 10.8% for Carleton University.
Is Carleton University or Tencent (China) growing faster?
Output in 2022-25 was +46% against 2018-21 for Tencent (China), and +8% for Carleton University.
Which has more open access research, Carleton University or Tencent (China)?
42% of Tencent (China)'s research is free to read, against 26% of Carleton University's.
Who are the top researchers on each side?
The most cited researchers on each side, among those ranked.
Carleton University
- 1 Lenore Fahrig #5,197 worldwide 55k citations · 388 works
- 2 Robert J. Coplan #72,385 worldwide 16k citations · 340 works
- 3 James Meadowcroft #75,235 worldwide 7.2k citations · 87 works
- 4 Emma Judith Hudgins #85,369 worldwide 1.9k citations · 85 works
- 5 Jeffrey O. Hanson #88,529 worldwide 2.7k citations · 118 works
Tencent (China)
- 1 Xintao Wang #12,474 worldwide 18k citations · 198 works
- 2 Shouhong Ding #13,106 worldwide 5.7k citations · 199 works
- 3 Wenhan Luo #21,110 worldwide 8.9k citations · 193 works
- 4 Feiyue Huang #23,148 worldwide 12k citations · 219 works
- 5 Ying Yu Tai #24,414 worldwide 14k citations · 229 works