- Research works
- 22 ▲ 1150% vs 2013–17
- Citations
- 107 4.9 per fractional work
- Top-10% rate
- 3.8% record average 16.5%
- Open access
- 55% world 28%
Not ranked overall: Verint Systems (United States) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
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, 9.1×. Every wedge is a field page.
Which keywords describe research at Verint Systems (United States)?
By fractional works in all years, weighted toward what it does more of than the world: Neural Networks, Deep Learning, Machine Translation, Word Representation, Artificial Intelligence, Machine Learning, Human-Robot Interaction and Social Media.
- Surveillance
- Feature Extraction
- Chatbots
- Anomaly Detection
- Time Series
- Sentiment Analysis
- Opinion Mining
- Social Media
- Artificial Intelligence
- Word Representation
- Deep Learning
- Neural Networks
- Machine Translation
- Machine Learning
- Human-Robot Interaction
- Distributed Systems
- Security
- Service Robots
- Deep Neural Networks
- COVID-19
- Customer Experience
- Pandemic
Size is fractional works in all years 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 22 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 22 words, with their numbers
- Neural Networks5▲ 22×7 topics
- Deep Learning4▲ 8.3×7 topics
- Machine Translation3▲ 124×1 topic
- Word Representation3▲ 208×1 topic
- Machine Learning3▲ 5.6×5 topics
- Artificial Intelligence2▲ 13×5 topics
- Human-Robot Interaction2▲ 140×3 topics
- Social Media2▲ 9.6×2 topics
- Distributed Systems1▲ 24×3 topics
- Opinion Mining1▲ 261×1 topic
- Security1▲ 14×4 topics
- Sentiment Analysis1▲ 119×1 topic
- Service Robots1▲ 146×2 topics
- Time Series1▲ 67×2 topics
- Deep Neural Networks1▲ 79×2 topics
- Anomaly Detection1▲ 28×2 topics
- COVID-191▲ 6.8×1 topic
- Chatbots1▲ 226×1 topic
- Customer Experience1▲ 52×1 topic
- Feature Extraction1▲ 16×2 topics
- Pandemic1▲ 10×1 topic
- Surveillance1▲ 30×2 topics
Which research topics does Verint Systems (United States) publish most on?
By volume in 2022–2025: Topic Modeling, COVID-19 Pandemic Impacts, AI in Service Interactions and Speech and Audio Processing.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 2 works
- 2 COVID-19 Pandemic Impacts Economics and Econometrics 1 works
- 3 AI in Service Interactions Artificial Intelligence 0 works
- 4 Speech and Audio Processing Signal Processing 0 works
- 5 Speech Recognition and Synthesis Artificial Intelligence 0 works
- 6 Explainable Artificial Intelligence (XAI) Artificial Intelligence 0 works
- 7 Speech and dialogue systems Artificial Intelligence 0 works
- 8 Misinformation and Its Impacts Sociology and Political Science 0 works
- 9 Anomaly Detection Techniques and Applications Artificial Intelligence 0 works
- 10 Data Stream Mining Techniques Artificial Intelligence 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: 28% of research is openly available.
World: 19% is written across borders.
How has Verint Systems (United States)'s research output changed?
Output in 2018–2022 was 1150% 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 Melville
- Nikon (United States)
- Canon (United States)
- Long Island Association
- CD-adapco (United States)
- New Dimensions Research (United States)
- Long Island Community Foundation
- Henry Schein (United States)
- Leviton (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.