Science Explorer Interactive view Map
City

Research in Siālkot

Science Explorer records 2 research institutions in Siālkot. The highest-ranked on research quality in 2022–2025 are University of Sialkot and Government College Women University Sialkot.

Research institutions
2
2 of them ranked worldwide
Research works
829
▲ 1617% vs 2013–17
Top-10% rate, 2022–2025
22.7%
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 Siālkot?

#InstitutionWorksAgainst the largest hereWorld rank
1University of SialkotUniversity 468 #4,855
2Government College Women University SialkotGovernment institution 361 #7,568

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 Siālkot?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Machine Learning, Nanomaterials, Medicinal Chemistry, Feminism, Molecular Docking, Toxicity, Pharmacokinetics and Drug Target Identification.

▲ 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. Machine Learning34▲ 1.93×54 topics
  2. Nanomaterials20▲ 3.5×13 topics
  3. Globalization17▲ 1.60×21 topics
  4. Environmental Impact16▲ 1.75×27 topics
  5. Oxidative Stress14▲ 1.57×33 topics
  6. Medicinal Chemistry14▲ 9.1×8 topics
  7. Education13▲ 1.42×25 topics
  8. Security13▲ 3.5×16 topics
  9. Toxicity12▲ 5.2×13 topics
  10. Healthcare12▲ 1.98×12 topics
  11. Teacher Training11▲ 3.4×7 topics
  12. Feminism11▲ 7.3×5 topics
  13. E-Learning11▲ 2.0×10 topics
  14. Molecular Docking11▲ 15×3 topics
  15. Pharmacokinetics10▲ 7.1×6 topics
  16. Drug Target Identification10▲ 19×1 topic
  17. Virtual Screening10▲ 19×1 topic
  18. Consumer Behavior9▲ 2.7×10 topics
  19. Graphene9▲ 2.5×6 topics
  20. Social Interaction9▲ 4.1×8 topics
  21. Conflict9▲ 10×5 topics
  22. Green Synthesis8▲ 7.8×3 topics
  23. Molecular Structure8▲ 14×3 topics
  24. Reconstruction8▲ 8.1×2 topics
  25. Afghanistan8▲ 56×1 topic
  26. Networks8▲ 46×2 topics
  27. Pakistan8▲ 56×1 topic
  28. Graph Spectra8▲ 84×1 topic
  29. Topological Indices8▲ 84×1 topic
  30. Language Policy7▲ 9.4×2 topics
  31. Multilingualism7▲ 7.9×2 topics
  32. Big Data Analytics7▲ 5.8×4 topics
  33. Feature Selection7▲ 5.6×6 topics
  34. Heavy Metals7▲ 5.1×8 topics
  35. Classification Models6▲ 11×1 topic
  36. Cytotoxicity6▲ 7.7×7 topics
  37. Medical Diagnosis6▲ 11×1 topic
  38. Madrasa5▲ 14×1 topic
  39. Muslim Students5▲ 14×1 topic
  40. Marxism5▲ 23×2 topics

What research is done in Siālkot?

  1. 1 Computational Drug Discovery Methods Computational Theory and Mathematics 10 works
  2. 2 Politics and Conflicts in Afghanistan, Pakistan, and Middle East Political Science and International Relations 8 works
  3. 3 Graph theory and applications Geometry and Topology 8 works
  4. 4 Artificial Intelligence in Healthcare Health Information Management 6 works
  5. 5 Education and Islamic Studies Education 5 works
  6. 6 Nanoparticles: synthesis and applications Materials Chemistry 5 works
  7. 7 Advanced Photocatalysis Techniques Renewable Energy, Sustainability and the Environment 5 works
  8. 8 Literary Theory and Cultural Hermeneutics Literature and Literary Theory 4 works
  9. 9 Islamic Studies and History Political Science and International Relations 4 works
  10. 10 Energy, Environment, Economic Growth Economics and Econometrics 4 works

Research output over time

2005201020152020
grewheldshrank

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