Walmart (United States)
In research, Walmart (United States) stands highest in Computer Science (#2,711 of 4,667 worldwide), Physical Sciences (#8,433 of 12,888 worldwide) and Social Sciences (#8,381 of 10,521 worldwide), 2022–2025. Relative to its size it is most specialised in Management Information Systems, Computer Networks and Communications and Information Systems — Management Information Systems is 14.0× its share of world research.
- World rank, 2022–2025
- #14,556 of 28,054 · #21,136 all time
- Rank in United States
- #2,043 of 4,192
- Research works
- 1.1k ▲ 98% vs 2013–17
- Citations
- 12k 10.7 per fractional work
- Top-10% rate
- 11.2% record average 16.5%
- Open access
- 39% world 28%
What is Walmart (United States) 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 |
|---|---|---|---|---|---|
| Computer ScienceField | #2,711 of 4,667 | 15.9% | 141 | #4389 | |
| Physical SciencesDomain | #8,433 of 12,888 | 14.4% | 200 | #15386 | |
| Social SciencesDomain | #8,381 of 10,521 | 7.1% | 115 | #10079 |
Each strip is that field’s whole ranked pool, with the notch where Walmart (United States) 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).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Computer Science#4,389 #2,711
- Physical Sciences#15,386 #8,433
- Social Sciences#10,079 #8,381
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Walmart (United States) specialise in?
Where its research is concentrated relative to its size: Management Information Systems takes 14.0× the share of its output that it takes of world research.
- Management Information SystemsSubfield · 20.9 works14×
- Computer Networks and CommunicationsSubfield · 24.2 works7.5×
- Information SystemsSubfield · 40.3 works6.2×
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, 5.0×. Every wedge is a field page.
- Computer Science 5.0×
- Business, Management and Accounting 4.1×
- Decision Sciences 3.8×
- Health Professions 1.2×
- Social Sciences 0.8×
- Engineering 0.8×
- Mathematics 0.7×
- Arts and Humanities 0.7×
- Psychology 0.7×
- Dentistry 0.5×
- Pharmacology, Toxicology and Pharmaceutics 0.5×
- Earth and Planetary Sciences 0.4×
- Agricultural and Biological Sciences 0.4×
- Nursing 0.3×
- Environmental Science 0.3×
- Medicine 0.3×
- Economics, Econometrics and Finance 0.3×
- Energy 0.2×
- Neuroscience 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Immunology and Microbiology 0.2×
- Physics and Astronomy 0.1×
- Materials Science 0.1×
- Chemical Engineering 0.1×
- Chemistry 0.1×
Who are the top researchers at Walmart (United States)?
Ranked on the composite score, Kannan Achan and Margaret Benner Smidt lead among researchers whose main affiliation is Walmart (United States).
- 1 Kannan Achan United States · #1,111,912 worldwide 48 citations · 30 works
- 2 Margaret Benner Smidt United States · #1,583,614 worldwide 0 citations · 27 works
Which keywords describe research at Walmart (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Big Data, Deep Learning, Neural Networks, Supply Chain Management, Machine Learning, Sustainability, Internet of Things and Distributed Systems.
- Mobile Edge Computing
- Word Representation
- Machine Translation
- Edge Computing
- MapReduce
- 5G Networks
- Matrix Factorization
- Collaborative Filtering
- Virtualization
- Text Classification
- IoT Security
- Energy Efficiency
- Cloud Computing
- Information Retrieval
- Analytics
- Artificial Intelligence
- Healthcare
- Supply Chain Management
- Neural Networks
- Big Data
- Deep Learning
- Machine Learning
- Sustainability
- Internet of Things
- Distributed Systems
- Predictive Analytics
- Business Intelligence
- Data Mining
- Security
- Anomaly Detection
- E-commerce
- Cyber-Physical Systems
- Smart Cities
- Customer Experience
- Resource Management
- Data Centers
- Topic Modeling
- Impulse Buying
- Multichannel Retailing
- Fog Computing
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 Learning52▲ 4.2×49 topics
- Big Data41▲ 12×22 topics
- Machine Learning40▲ 3.3×56 topics
- Neural Networks34▲ 6.0×25 topics
- Sustainability30▲ 3.4×23 topics
- Supply Chain Management29▲ 8.6×14 topics
- Internet of Things21▲ 6.6×14 topics
- Healthcare18▲ 4.5×16 topics
- Distributed Systems15▲ 25×5 topics
- Artificial Intelligence15▲ 3.0×21 topics
- Predictive Analytics14▲ 36×2 topics
- Analytics14▲ 41×1 topic
- Business Intelligence14▲ 41×1 topic
- Information Retrieval14▲ 17×4 topics
- Data Mining12▲ 4.4×13 topics
- Cloud Computing12▲ 12×6 topics
- Security11▲ 4.7×13 topics
- Energy Efficiency11▲ 3.2×13 topics
- Anomaly Detection10▲ 9.9×4 topics
- IoT Security10▲ 9.0×3 topics
- E-commerce10▲ 4.4×8 topics
- Text Classification9▲ 16×3 topics
- Cyber-Physical Systems9▲ 9.1×4 topics
- Virtualization9▲ 30×3 topics
- Smart Cities8▲ 9.0×5 topics
- Collaborative Filtering8▲ 63×1 topic
- Customer Experience8▲ 15×4 topics
- Matrix Factorization8▲ 63×1 topic
- Resource Management8▲ 13×2 topics
- 5G Networks8▲ 10×3 topics
- Data Centers8▲ 35×1 topic
- MapReduce8▲ 35×1 topic
- Topic Modeling7▲ 13×3 topics
- Edge Computing7▲ 15×2 topics
- Impulse Buying7▲ 34×1 topic
- Machine Translation7▲ 11×1 topic
- Multichannel Retailing7▲ 34×1 topic
- Word Representation7▲ 16×1 topic
- Fog Computing7▲ 15×1 topic
- Mobile Edge Computing7▲ 11×1 topic
Which research topics does Walmart (United States) publish most on?
By volume in 2022–2025: Big Data and Business Intelligence, Recommender Systems and Techniques, Cloud Computing and Resource Management and Topic Modeling.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Big Data and Business Intelligence Management Information Systems 14 works
- 2 Recommender Systems and Techniques Information Systems 8 works
- 3 Cloud Computing and Resource Management Information Systems 8 works
- 4 Topic Modeling Artificial Intelligence 7 works
- 5 Consumer Retail Behavior Studies Marketing 7 works
- 6 IoT and Edge/Fog Computing Computer Networks and Communications 7 works
- 7 Software System Performance and Reliability Computer Networks and Communications 6 works
- 8 Digital Transformation in Industry Industrial and Manufacturing Engineering 5 works
- 9 Consumer Market Behavior and Pricing Marketing 5 works
- 10 Advanced Graph Neural Networks Artificial Intelligence 4 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 Walmart (United States)'s research output changed?
Output in 2018–2022 was 98% higher 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 Bentonville
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.