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Institution · Hyderabad · India

Centre for Environment Concerns

cechyd.orgROR OpenAlex
Research works
29
▼ 47% vs 2013–17
Citations
172
6.0 per fractional work
Top-10% rate
34.8%
record average 16.5%
Open access
49%
world 28%

Not ranked overall: Centre for Environment Concerns 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.

Computer Science: 4.41× its world share, 2 worksComputer ScienceEngineering: 1.64× its world share, 1 worksEngineeringEnvironmental Science: 3.50× its world share, 1 worksEnvironmental SciencePhysics and Astronomy: 0.20× its world share, 0 worksPhysics and AstronomyDentistry: 5.98× its world share, 0 worksDentistryMedicine: 0.15× its world share, 0 worksMedicineBusiness, Management and Accounting: 3.60× its world share, 1 worksBusiness, Management…Decision Sciences: 3.00× its world share, 0 worksDecision SciencesSocial Sciences: 0.23× its world share, 0 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Dentistry, 6.0×. Every wedge is a field page.

Which keywords describe research at Centre for Environment Concerns?

By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Security, Classification, IoT, Feature Extraction, Internet of Things and Support Vector Machines.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

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 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.

All 40 words, with their numbers
  1. Deep Learning8▲ 13×15 topics
  2. Machine Learning5▲ 8.2×10 topics
  3. Security4▲ 34×6 topics
  4. Classification3▲ 28×3 topics
  5. IoT3▲ 45×4 topics
  6. Feature Extraction3▲ 33×4 topics
  7. Internet of Things3▲ 17×4 topics
  8. Support Vector Machines2▲ 29×3 topics
  9. Remote Sensing2▲ 7.0×7 topics
  10. Sensors2▲ 47×2 topics
  11. Home Automation2▲ 224×1 topic
  12. Wireless2▲ 180×1 topic
  13. Authentication2▲ 63×2 topics
  14. Convolutional Neural Networks2▲ 14×3 topics
  15. Local Binary Patterns2▲ 71×2 topics
  16. Channel Assignment2▲ 48×3 topics
  17. Healthcare1▲ 7.1×5 topics
  18. Content-Based Image Retrieval1▲ 105×1 topic
  19. Shape Matching1▲ 105×1 topic
  20. Hyperspectral1▲ 68×2 topics
  21. Mobile Ad Hoc Networks1▲ 61×2 topics
  22. Neural Network1▲ 16×2 topics
  23. Resource Allocation1▲ 18×2 topics
  24. Routing Protocols1▲ 49×2 topics
  25. Hydrology1▲ 33×2 topics
  26. Image Processing1▲ 12×3 topics
  27. Wavelet Transform1▲ 20×2 topics
  28. Arrhythmia Detection1▲ 115×1 topic
  29. Artificial Neural Networks1▲ 8.4×1 topic
  30. Biometrics1▲ 120×1 topic
  31. Change Detection1▲ 76×1 topic
  32. ECG Signal1▲ 115×1 topic
  33. Environmental Monitoring1▲ 11×2 topics
  34. Forecasting1▲ 27×1 topic
  35. Image Analysis1▲ 53×1 topic
  36. Intelligent Transportation Systems1▲ 39×2 topics
  37. Passwords1▲ 196×1 topic
  38. Power Control1▲ 31×2 topics
  39. Privacy1▲ 20×2 topics
  40. Texture Analysis1▲ 24×2 topics

Which research topics does Centre for Environment Concerns publish most on?

By volume in 2022–2025: Hydrological Forecasting Using AI, IoT-based Smart Home Systems, Robotic Process Automation Applications and Organizational and Employee Performance.

Hydrological Forecasting…1Hydrological Forecasting Using AI: 1 fractional worksIoT-based Smart Home Sys…0IoT-based Smart Home Systems: 0 fractional worksRobotic Process Automati…0Robotic Process Automation Applications: 0 fractional worksOrganizational and Employee Performance: 0 fractional worksBlockchain Technology Applications and Security: 0 fractional worksIoT and Edge/Fog Computing0IoT and Edge/Fog Computing: 0 fractional worksInternet of Things and AI: 0 fractional worksImage Retrieval and Classification Techniques: 0 fractional worksDigital Marketing and Social Media: 0 fractional worksAdvanced machining processes and optimization: 0 fractional works
Environmental EngineeringElectrical and Electronic EngineeringIndustrial and Manufacturing EngineeringArtificial Intelligence5 others

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Hydrological Forecasting Using AI Environmental Engineering 1 works
  2. 2 IoT-based Smart Home Systems Electrical and Electronic Engineering 0 works
  3. 3 Robotic Process Automation Applications Industrial and Manufacturing Engineering 0 works
  4. 4 Organizational and Employee Performance Artificial Intelligence 0 works
  5. 5 Blockchain Technology Applications and Security Information Systems 0 works
  6. 6 IoT and Edge/Fog Computing Computer Networks and Communications 0 works
  7. 7 Internet of Things and AI Information Systems 0 works
  8. 8 Image Retrieval and Classification Techniques Computer Vision and Pattern Recognition 0 works
  9. 9 Digital Marketing and Social Media Sociology and Political Science 0 works
  10. 10 Advanced machining processes and optimization Mechanical Engineering 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.

openly available48.7%not open51.3%

World: 28% of research is openly available.

with international co-authors9.3%domestic only90.7%

World: 19% is written across borders.

How has Centre for Environment Concerns's research output changed?

Output in 2018–2022 was 47% lower than in 2013–2017.

2005201020152020
grewheldshrank

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 Hyderabad

All research institutions in Hyderabad

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.