Science Explorer Interactive view Map
City · South Korea

Research in Seongnam-si

Science Explorer records 1 research institutions in Seongnam-si, South Korea. The highest-ranked on research quality in 2022–2025 are Korea Telecom (South Korea).

Research institutions
1
1 of them ranked worldwide
Research works
1k
▲ 3% vs 2013–17
Top-10% rate, 2022–2025
14.9%
record average 16.5%

A city carries no overall standing here. The composite score is built for institutions and countries, the units its floors and field normalisation were designed around. An empty rank on this page is a statement about the measure, not about the place.

Which research institutions are in Seongnam-si?

#InstitutionWorksAgainst the largest hereWorld rank
1Korea Telecom (South Korea)Company 1,000 #21,077

By fractional works over the whole record; world rank on research quality in 2022–2025. Bars are scaled to the largest institution in this city, not to anything off the page.

Which keywords describe research in Seongnam-si?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Big Data, Machine Learning, Topic Modeling, Image Processing and Information Retrieval.

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

Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this city'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 Learning16▲ 5.5×42 topics
  2. Neural Networks9▲ 7.1×19 topics
  3. Machine Learning6▲ 2.4×24 topics
  4. Convolutional Neural Networks6▲ 9.5×10 topics
  5. Big Data5▲ 6.8×10 topics
  6. Topic Modeling3▲ 28×3 topics
  7. Image Processing3▲ 8.2×5 topics
  8. Artificial Intelligence3▲ 2.4×7 topics
  9. Information Retrieval3▲ 15×3 topics
  10. Defect Detection2▲ 23×2 topics
  11. Energy Efficiency2▲ 3.2×5 topics
  12. Text Classification2▲ 19×2 topics
  13. Crack Detection2▲ 40×1 topic
  14. Pavement2▲ 40×1 topic
  15. Machine Translation2▲ 15×1 topic
  16. Recycled Materials2▲ 22×2 topics
  17. Word Representation2▲ 21×1 topic
  18. Smart Grid2▲ 6.3×4 topics
  19. Beamforming2▲ 21×3 topics
  20. Security2▲ 3.5×7 topics
  21. Deep Neural Networks2▲ 20×2 topics
  22. Reinforcement Learning2▲ 19×3 topics
  23. Human-Robot Interaction2▲ 19×3 topics
  24. Structural Equation Modeling2▲ 9.6×2 topics
  25. User Satisfaction2▲ 9.9×3 topics
  26. Rheology2▲ 9.2×2 topics
  27. Asphalt1▲ 52×1 topic
  28. Bitumen Modification1▲ 52×1 topic
  29. MIMO Systems1▲ 22×3 topics
  30. Service Robots1▲ 20×2 topics
  31. Wireless Networks1▲ 11×4 topics
  32. 5G1▲ 28×2 topics
  33. 5G Networks1▲ 7.8×3 topics
  34. Data Integration1▲ 9.6×2 topics
  35. Massive MIMO1▲ 19×2 topics
  36. Semantic Web1▲ 17×2 topics
  37. Workflow Management1▲ 23×2 topics
  38. Distributed Systems1▲ 8.8×3 topics
  39. Graph Convolutional Networks1▲ 14×2 topics
  40. Heterogeneous Networks1▲ 15×2 topics

What research is done in Seongnam-si?

  1. 1 Infrastructure Maintenance and Monitoring Civil and Structural Engineering 2 works
  2. 2 Topic Modeling Artificial Intelligence 2 works
  3. 3 Asphalt Pavement Performance Evaluation Civil and Structural Engineering 1 works
  4. 4 Natural Language Processing Techniques Artificial Intelligence 1 works
  5. 5 Speech Recognition and Synthesis Artificial Intelligence 1 works
  6. 6 Speech and dialogue systems Artificial Intelligence 1 works
  7. 7 Technology Adoption and User Behaviour Information Systems and Management 1 works
  8. 8 Distributed and Parallel Computing Systems Computer Networks and Communications 1 works
  9. 9 Geographic Information Systems Studies Geography, Planning and Development 1 works
  10. 10 Data Quality and Management Management Science and Operations Research 1 works

Research output over time

1990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more.