SUNY New Paltz
In research, SUNY New Paltz stands highest in Computer Science (#1,426 of 4,667 worldwide), Social Sciences (#4,207 of 10,521 worldwide) and Physical Sciences (#5,926 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Networks and Communications — Computer Networks and Communications is 6.7× its share of world research.
- World rank, 2022–2025
- #7,509 of 28,054 · #6,389 all time
- Rank in United States
- #996 of 4,192
- Research works
- 3.6k ▲ 15% vs 2013–17
- Citations
- 55k 15.3 per fractional work
- Top-10% rate
- 20.5% record average 16.5%
- Open access
- 20% world 28%
What is SUNY New Paltz 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 | #1,426 of 4,667 | 36.1% | 103 | #1029 | |
| Social SciencesDomain | #4,207 of 10,521 | 16.7% | 253 | #2098 | |
| Physical SciencesDomain | #5,926 of 12,888 | 26.1% | 199 | #5205 | |
| Social SciencesField | #3,774 of 6,365 | 18.4% | 113 | #2008 |
Each strip is that field’s whole ranked pool, with the notch where SUNY New Paltz 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#1,029 #1,426
- Social Sciences#2,098 #4,207
- Physical Sciences#5,205 #5,926
- Social Sciences#2,008 #3,774
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does SUNY New Paltz specialise in?
Where its research is concentrated relative to its size: Computer Networks and Communications takes 6.7× the share of its output that it takes of world research.
- Computer Networks and CommunicationsSubfield · 30.5 works6.7×
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: Arts and Humanities, 3.5×. Every wedge is a field page.
- Arts and Humanities 3.5×
- Psychology 2.9×
- Computer Science 2.6×
- Mathematics 2.4×
- Decision Sciences 1.8×
- Social Sciences 1.8×
- Economics, Econometrics and Finance 1.5×
- Neuroscience 1.4×
- Business, Management and Accounting 1.2×
- Health Professions 0.9×
- Engineering 0.8×
- Earth and Planetary Sciences 0.7×
- Physics and Astronomy 0.5×
- Environmental Science 0.4×
- Agricultural and Biological Sciences 0.3×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Nursing 0.3×
- Chemistry 0.2×
- Energy 0.2×
- Medicine 0.2×
- Immunology and Microbiology 0.1×
- Materials Science 0.1×
- Chemical Engineering 0.1×
Who are the top researchers at SUNY New Paltz?
Ranked on the composite score, Lyndal Roper, Laurence M. Hauptman and Keqin Li lead among researchers whose main affiliation is SUNY New Paltz.
- 1 Lyndal Roper United States · #74,529 worldwide 110 citations · 35 works
- 2 Laurence M. Hauptman United States · #112,857 worldwide 58 citations · 43 works
- 3 Keqin Li United States · #129,649 worldwide 1.7k citations · 313 works
- 4 Narcyz Roztocki United States · #194,088 worldwide 101 citations · 30 works
- 5 Jonathan D. Raskin United States · #239,879 worldwide 68 citations · 28 works
- 6 George Sabo United States · #264,935 worldwide 61 citations · 20 works
- 7 Nancy E. Johnson United States · #306,598 worldwide 94 citations · 27 works
- 8 D. Radhakrishnan United States · #422,324 worldwide 114 citations · 16 works
- 9 Salvatore Engel‐Di Mauro United States · #464,507 worldwide 35 citations · 25 works
- 10 Gerald Benjamin United States · #511,272 worldwide 23 citations · 23 works
Which keywords describe research at SUNY New Paltz?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Globalization, Deep Learning, Neoliberalism, Literature, Gender, IoT Security, 5G Networks and Internet of Things.
- Race
- Wireless Networks
- Marxism
- Data Centers
- Social Cognition
- Capitalism
- Imperialism
- Engineering Education
- Cloud Computing
- Fog Computing
- Feminism
- Adaptation
- Resource Management
- Security and Privacy
- Culture
- IoT Security
- Neoliberalism
- Literature
- Healthcare
- Globalization
- Deep Learning
- Machine Learning
- Internet of Things
- Gender
- History
- 5G Networks
- Distributed Systems
- Mobile Edge Computing
- Smart Cities
- Identity
- Edge Computing
- Religion
- Colonialism
- Ethics
- Philosophy
- National Identity
- Virtualization
- MapReduce
- Uneven and Combined Development
- High-Performance 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 Learning40▲ 2.3×55 topics
- Globalization34▲ 3.4×41 topics
- Machine Learning21▲ 1.27×49 topics
- Healthcare17▲ 3.0×14 topics
- Internet of Things17▲ 3.9×11 topics
- Literature16▲ 5.9×20 topics
- Gender16▲ 5.8×21 topics
- Neoliberalism16▲ 8.7×11 topics
- History14▲ 3.8×14 topics
- IoT Security13▲ 8.0×3 topics
- 5G Networks13▲ 12×3 topics
- Culture13▲ 4.8×12 topics
- Distributed Systems12▲ 14×4 topics
- Security and Privacy12▲ 12×3 topics
- Mobile Edge Computing11▲ 14×2 topics
- Resource Management11▲ 13×3 topics
- Smart Cities11▲ 8.7×4 topics
- Adaptation11▲ 7.7×5 topics
- Identity11▲ 3.0×20 topics
- Feminism11▲ 7.6×9 topics
- Edge Computing10▲ 16×2 topics
- Fog Computing10▲ 17×1 topic
- Religion9▲ 3.9×13 topics
- Cloud Computing9▲ 6.5×9 topics
- Colonialism9▲ 3.7×14 topics
- Engineering Education8▲ 18×5 topics
- Ethics8▲ 3.3×11 topics
- Imperialism8▲ 20×3 topics
- Philosophy8▲ 3.5×7 topics
- Capitalism8▲ 23×2 topics
- National Identity8▲ 13×4 topics
- Social Cognition8▲ 8.9×6 topics
- Virtualization8▲ 19×2 topics
- Data Centers8▲ 25×1 topic
- MapReduce8▲ 25×1 topic
- Marxism7▲ 34×1 topic
- Uneven and Combined Development7▲ 65×1 topic
- Wireless Networks6▲ 8.3×6 topics
- High-Performance Computing6▲ 13×2 topics
- Race5▲ 9.6×11 topics
Which research topics does SUNY New Paltz publish most on?
By volume in 2022–2025: IoT and Edge/Fog Computing, Cloud Computing and Resource Management, Political Economy and Marxism and Evolutionary Psychology and Human Behavior.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 IoT and Edge/Fog Computing Computer Networks and Communications 10 works
- 2 Cloud Computing and Resource Management Information Systems 8 works
- 3 Political Economy and Marxism Sociology and Political Science 7 works
- 4 Evolutionary Psychology and Human Behavior Experimental and Cognitive Psychology 5 works
- 5 Shakespeare, Adaptation, and Literary Criticism Literature and Literary Theory 4 works
- 6 Blockchain Technology Applications and Security Information Systems 4 works
- 7 Distributed and Parallel Computing Systems Computer Networks and Communications 3 works
- 8 Noise Effects and Management Speech and Hearing 3 works
- 9 Sentiment Analysis and Opinion Mining Artificial Intelligence 3 works
- 10 Age of Information Optimization Computer Networks and Communications 3 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 SUNY New Paltz's research output changed?
Output in 2018–2022 was 15% 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.
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.