Institute for High Performance Computing and Networking
In research, Institute for High Performance Computing and Networking stands highest in Computer Science (#1,739 of 4,667 worldwide) and Physical Sciences (#5,890 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence and Computer Science — Artificial Intelligence is 8.6× its share of world research.
- World rank, 2022–2025
- #8,116 of 28,054 · #13,130 all time
- Rank in Italy
- #226 of 618
- Research works
- 1k ▼ 5% vs 2013–17
- Citations
- 17k 16.7 per fractional work
- Top-10% rate
- 30.3% record average 16.5%
- Open access
- 31% world 28%
What is Institute for High Performance Computing and Networking 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 | #1,739 of 4,667 | 30.2% | 120 | #2023 | |
| Physical SciencesDomain | #5,890 of 12,888 | 29.0% | 191 | #9338 |
Each strip is that field’s whole ranked pool, with the notch where Institute for High Performance Computing and Networking 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 Institute for High Performance Computing and Networking specialise in?
Where its research is concentrated relative to its size: Artificial Intelligence takes 8.6× the share of its output that it takes of world research.
- Artificial IntelligenceSubfield · 55.2 works8.6×
- Computer ScienceField · 119.7 works5.8×
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, 5.8×. Every wedge is a field page.
- Computer Science 5.8×
- Decision Sciences 1.6×
- Physics and Astronomy 1.4×
- Mathematics 1.3×
- Engineering 1.1×
- Neuroscience 0.9×
- Health Professions 0.9×
- Energy 0.8×
- Psychology 0.6×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Earth and Planetary Sciences 0.6×
- Environmental Science 0.5×
- Medicine 0.5×
- Social Sciences 0.4×
- Business, Management and Accounting 0.4×
- Immunology and Microbiology 0.3×
- Economics, Econometrics and Finance 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Materials Science 0.2×
- Agricultural and Biological Sciences 0.1×
- Arts and Humanities 0.1×
- Chemistry 0.0×
- Nursing 0.0×
Who are the top researchers at Institute for High Performance Computing and Networking?
Ranked on the composite score, Clara Pizzuti, Massimo Esposito and Giuseppe De Pietro lead among researchers whose main affiliation is Institute for High Performance Computing and Networking.
- 1 Clara Pizzuti · #161,443 worldwide 249 citations · 48 works
- 2 Massimo Esposito · #269,400 worldwide 210 citations · 47 works
- 3 Giuseppe De Pietro · #303,317 worldwide 279 citations · 76 works
- 4 Nicola Barbieri · #303,411 worldwide 46 citations · 30 works
- 5 Giovanna Sannino · #325,167 worldwide 50 citations · 22 works
- 6 Carmela Comito · #364,675 worldwide 92 citations · 38 works
- 7 Mario Ciampi · #415,363 worldwide 90 citations · 40 works
- 8 Giandomenico Spezzano · #438,617 worldwide 137 citations · 47 works
- 9 Giuseppe Manco · #543,110 worldwide 155 citations · 45 works
- 10 Luigi Gallo · #704,902 worldwide 136 citations · 41 works
Which keywords describe research at Institute for High Performance Computing and Networking?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Healthcare, IoT Security, Data Mining, Precision Medicine and Anomaly Detection.
- Time Series
- Information Retrieval
- Human-Robot Interaction
- Botnet Detection
- Feature Selection
- Security and Privacy
- Network Security
- Topic Modeling
- Social Influence
- IoT
- Smart Cities
- Feature Extraction
- Predictive Modeling
- Medical Imaging
- Anomaly Detection
- Big Data
- Social Media
- Data Mining
- Healthcare
- Machine Learning
- Deep Learning
- Neural Networks
- IoT Security
- Artificial Intelligence
- Precision Medicine
- Internet of Things
- Convolutional Neural Networks
- Security
- Behavioral Analysis
- Cybersecurity
- High-Dimensional Data
- Network Dynamics
- Medical Image Analysis
- 5G Networks
- Polarization
- Intrusion Detection
- Mobile Edge Computing
- DDoS Attacks
- Surveillance
- Network Analysis
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 Learning60▲ 6.7×65 topics
- Machine Learning53▲ 6.1×60 topics
- Neural Networks23▲ 5.6×22 topics
- Healthcare19▲ 6.2×9 topics
- IoT Security13▲ 16×3 topics
- Data Mining12▲ 6.3×9 topics
- Artificial Intelligence12▲ 3.2×15 topics
- Social Media11▲ 3.0×11 topics
- Precision Medicine11▲ 8.6×4 topics
- Big Data10▲ 4.1×15 topics
- Internet of Things10▲ 4.3×11 topics
- Anomaly Detection10▲ 12×5 topics
- Convolutional Neural Networks10▲ 4.9×12 topics
- Medical Imaging10▲ 7.0×7 topics
- Security8▲ 4.8×14 topics
- Predictive Modeling7▲ 10×3 topics
- Behavioral Analysis7▲ 23×2 topics
- Feature Extraction7▲ 5.9×10 topics
- Cybersecurity7▲ 11×4 topics
- Smart Cities6▲ 9.2×5 topics
- High-Dimensional Data6▲ 15×3 topics
- IoT6▲ 5.9×11 topics
- Network Dynamics6▲ 22×2 topics
- Social Influence6▲ 10×2 topics
- Medical Image Analysis6▲ 12×4 topics
- Topic Modeling6▲ 15×3 topics
- 5G Networks6▲ 10×4 topics
- Network Security5▲ 15×2 topics
- Polarization5▲ 13×2 topics
- Security and Privacy5▲ 11×3 topics
- Intrusion Detection5▲ 14×3 topics
- Feature Selection5▲ 8.8×6 topics
- Mobile Edge Computing5▲ 12×2 topics
- Botnet Detection5▲ 16×1 topic
- DDoS Attacks5▲ 16×1 topic
- Human-Robot Interaction5▲ 19×3 topics
- Surveillance5▲ 7.2×4 topics
- Information Retrieval5▲ 8.7×4 topics
- Network Analysis5▲ 16×2 topics
- Time Series5▲ 10×2 topics
Which research topics does Institute for High Performance Computing and Networking publish most on?
By volume in 2022–2025: Network Security and Intrusion Detection, Complex Network Analysis Techniques, IoT and Edge/Fog Computing and Machine Learning in Healthcare.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Network Security and Intrusion Detection Computer Networks and Communications 5 works
- 2 Complex Network Analysis Techniques Statistical and Nonlinear Physics 5 works
- 3 IoT and Edge/Fog Computing Computer Networks and Communications 5 works
- 4 Machine Learning in Healthcare Artificial Intelligence 4 works
- 5 Misinformation and Its Impacts Sociology and Political Science 4 works
- 6 Anomaly Detection Techniques and Applications Artificial Intelligence 4 works
- 7 Topic Modeling Artificial Intelligence 4 works
- 8 Advanced Malware Detection Techniques Signal Processing 4 works
- 9 Context-Aware Activity Recognition Systems Computer Vision and Pattern Recognition 4 works
- 10 Artificial Intelligence in Healthcare and Education Health Informatics 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 Institute for High Performance Computing and Networking's research output changed?
Output in 2018–2022 was 5% 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 Rende
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.