Toyota Technological Institute at Chicago
In research, Toyota Technological Institute at Chicago stands highest in Physical Sciences (#8,217 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence and Computer Science — Artificial Intelligence is 12.1× its share of world research.
- World rank, 2022–2025
- #14,683 of 28,054 · #6,318 all time
- Rank in United States
- #2,064 of 4,192
- Research works
- 675 ▼ 21% vs 2013–17
- Citations
- 49k 72.6 per fractional work
- Top-10% rate
- 19.7% record average 16.5%
- Open access
- 52% world 28%
What is Toyota Technological Institute at Chicago known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #8,217 of 12,888 | 20.1% | 66 | #4625 |
Each strip is that field’s whole ranked pool, with the notch where Toyota Technological Institute at Chicago 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).
What does Toyota Technological Institute at Chicago specialise in?
Where its research is concentrated relative to its size: Artificial Intelligence takes 12.1× the share of its output that it takes of world research.
- Artificial IntelligenceSubfield · 25.7 works12×
- Computer ScienceField · 54.0 works7.9×
Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.
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: Computer Science, 7.9×. Every wedge is a field page.
- Computer Science 7.9×
- Decision Sciences 2.5×
- Mathematics 1.8×
- Biochemistry, Genetics and Molecular Biology 1.0×
- Psychology 0.8×
- Economics, Econometrics and Finance 0.7×
- Engineering 0.7×
- Immunology and Microbiology 0.6×
- Business, Management and Accounting 0.4×
- Medicine 0.3×
- Health Professions 0.3×
- Social Sciences 0.3×
- Neuroscience 0.2×
- Physics and Astronomy 0.2×
- Nursing 0.1×
- Earth and Planetary Sciences 0.1×
- Materials Science 0.1×
- Environmental Science 0.0×
- Arts and Humanities 0.0×
- Agricultural and Biological Sciences 0.0×
Who are the top researchers at Toyota Technological Institute at Chicago?
Ranked on the composite score, Kevin Gimpel, David McAllester and Nathan Srebro lead among researchers whose main affiliation is Toyota Technological Institute at Chicago.
- 1 Kevin Gimpel United States · #10,214 worldwide 1.1k citations · 58 works
- 2 David McAllester United States · #12,310 worldwide 752 citations · 54 works
- 3 Nathan Srebro United States · #24,204 worldwide 1.1k citations · 74 works
- 4 Michael Maire United States · #32,717 worldwide 10k citations · 32 works
- 5 Gregory Shakhnarovich United States · #65,997 worldwide 742 citations · 27 works
- 6 Behnam Neyshabur United States · #126,750 worldwide 686 citations · 20 works
- 7 Mingda Chen United States · #144,745 worldwide 242 citations · 24 works
- 8 Karen Livescu United States · #148,817 worldwide 403 citations · 77 works
- 9 Srinadh Bhojanapalli United States · #193,425 worldwide 312 citations · 20 works
- 10 Shubham Toshniwal United States · #300,804 worldwide 118 citations · 20 works
Which keywords describe research at Toyota Technological Institute at Chicago?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Neural Networks, Deep Learning, Convolutional Neural Networks, Approximation Algorithms, Information Retrieval, Machine Translation, Word Representation and Corpus Linguistics.
- Real-time Tracking
- Federated Learning
- Speech Enhancement
- Audio-Visual Speech Recognition
- Prediction
- Graph Theory
- Arrhythmias
- Image Classification
- Unsupervised Learning
- Convolutional Networks
- Sign Language
- Convex Optimization
- Combinatorial Optimization
- Acoustic Modeling
- Neural Machine Translation
- Deep Neural Networks
- Word Representation
- Machine Learning
- Approximation Algorithms
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Information Retrieval
- Machine Translation
- Corpus Linguistics
- Algorithmic Applications
- Statistical Machine Translation
- Speaker Verification
- Complexity Theory
- Mobile Robots
- AdWords Problem
- Online Algorithms
- Depth Estimation
- Mechanism Design
- Catheter Ablation
- Parameterized Complexity
- Protein
- Incentives
- Differential Privacy
- Human-Computer Interaction
Size is fractional works in 2022–2025 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 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Deep Learning16▲ 5.2×30 topics
- Neural Networks14▲ 10×16 topics
- Convolutional Neural Networks8▲ 12×7 topics
- Approximation Algorithms8▲ 122×5 topics
- Information Retrieval6▲ 30×2 topics
- Machine Learning6▲ 1.97×12 topics
- Machine Translation6▲ 38×1 topic
- Word Representation6▲ 52×1 topic
- Corpus Linguistics5▲ 28×2 topics
- Deep Neural Networks5▲ 54×3 topics
- Algorithmic Applications5▲ 159×2 topics
- Neural Machine Translation5▲ 57×1 topic
- Statistical Machine Translation5▲ 57×1 topic
- Acoustic Modeling4▲ 131×1 topic
- Speaker Verification4▲ 131×1 topic
- Combinatorial Optimization3▲ 273×1 topic
- Complexity Theory3▲ 74×1 topic
- Convex Optimization3▲ 41×4 topics
- Mobile Robots2▲ 29×2 topics
- Sign Language2▲ 40×2 topics
- AdWords Problem2▲ 132×1 topic
- Convolutional Networks2▲ 17×3 topics
- Online Algorithms2▲ 132×1 topic
- Unsupervised Learning2▲ 15×3 topics
- Depth Estimation2▲ 24×2 topics
- Image Classification2▲ 12×2 topics
- Mechanism Design2▲ 54×2 topics
- Arrhythmias2▲ 20×2 topics
- Catheter Ablation2▲ 16×2 topics
- Graph Theory2▲ 17×1 topic
- Parameterized Complexity2▲ 87×1 topic
- Prediction2▲ 25×2 topics
- Protein2▲ 16×2 topics
- Audio-Visual Speech Recognition2▲ 31×1 topic
- Incentives2▲ 25×2 topics
- Speech Enhancement2▲ 31×1 topic
- Differential Privacy1▲ 21×1 topic
- Federated Learning1▲ 21×1 topic
- Human-Computer Interaction1▲ 8.7×2 topics
- Real-time Tracking1▲ 14×2 topics
Which research topics does Toyota Technological Institute at Chicago publish most on?
By volume in 2022–2025: Topic Modeling, Natural Language Processing Techniques, Speech Recognition and Synthesis and Complexity and Algorithms in Graphs.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 6 works
- 2 Natural Language Processing Techniques Artificial Intelligence 5 works
- 3 Speech Recognition and Synthesis Artificial Intelligence 4 works
- 4 Complexity and Algorithms in Graphs Computational Theory and Mathematics 3 works
- 5 Optimization and Search Problems Computer Networks and Communications 2 works
- 6 Advanced Graph Theory Research Computational Theory and Mathematics 2 works
- 7 Speech and Audio Processing Signal Processing 2 works
- 8 Privacy-Preserving Technologies in Data Artificial Intelligence 1 works
- 9 Computational Geometry and Mesh Generation Computer Graphics and Computer-Aided Design 1 works
- 10 Hand Gesture Recognition Systems Human-Computer Interaction 1 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: 28% of research is openly available.
World: 19% is written across borders.
How has Toyota Technological Institute at Chicago's research output changed?
Output in 2018–2022 was 21% lower than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Other research institutions in Chicago
- University of Chicago
- University of Illinois Chicago
- Loyola University Chicago
- Rush University Medical Center
- Illinois Institute of Technology
- DePaul University
- Experimental Station
- Boeing (United States)
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.