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University · New Delhi · India

Indira Gandhi Delhi Technical University for Women

In research, Indira Gandhi Delhi Technical University for Women stands highest in Engineering (#1,903 of 6,636 worldwide), Computer Science (#1,345 of 4,667 worldwide) and Physical Sciences (#4,521 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence — Signal Processing is 13.7× its share of world research.

World rank, 2022–2025
#6,608
of 28,054 · #15,255 all time
Rank in India
#470
of 1,840
Research works
2.3k
▲ 231% vs 2013–17
Citations
14k
6.2 per fractional work
Top-10% rate
13.2%
record average 16.5%
Open access
21%
world 28%

What is Indira Gandhi Delhi Technical University for Women known for in research?

The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorksAll time
EngineeringField #1,903 of 6,636 11.8%309 #4416
Computer ScienceField #1,345 of 4,667 11.3%557 #2650
Physical SciencesDomain #4,521 of 12,888 11.6%964 #9692
Health SciencesDomain #4,769 of 11,982 20.5%124 #11933
Electrical and Electronic EngineeringSubfield #1,295 of 2,318 12.3%127 #2860
Artificial IntelligenceSubfield #1,124 of 1,884 8.8%205 #1933
Social SciencesDomain #6,343 of 10,521 18.2%155 #12652
Computer Vision and Pattern RecognitionSubfield #621 of 941 9.0%138 #1456
Information SystemsSubfield #909 of 1,291 18.8%68 #1629
MedicineField #7,976 of 10,443 22.1%92 #16291

Each strip is that field’s whole ranked pool, with the notch where Indira Gandhi Delhi Technical University for Women 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.

  1. Engineering#4,416 #1,903
  2. Computer Science#2,650 #1,345
  3. Physical Sciences#9,692 #4,521
  4. Health Sciences#11,933 #4,769
  5. Electrical and Electronic Engineering#2,860 #1,295
  6. Artificial Intelligence#1,933 #1,124
  7. Social Sciences#12,652 #6,343
  8. Computer Vision and Pattern Recognition#1,456 #621
  9. Information Systems#1,629 #909
  10. Medicine#16,291 #7,976
all time2022–2025, better2022–2025, worse

A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.

What does Indira Gandhi Delhi Technical University for Women specialise in?

Where its research is concentrated relative to its size: Signal Processing takes 13.7× the share of its output that it takes of world research.

  1. Signal ProcessingSubfield · 54.6 works14×
  2. Computer Vision and Pattern RecognitionSubfield · 137.6 works8.3×
  3. Artificial IntelligenceSubfield · 204.6 works6.5×
  4. Computer ScienceField · 556.6 works5.5×
  5. Computer Networks and CommunicationsSubfield · 53.3 works4.6×
← less than its size predictsmore →

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.

Agricultural and Biological Sciences: 0.49× its world share, 31 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.13× its world share, 9 worksBiochemistry, Geneti…Immunology and Microbiology: 0.06× its world share, 1 worksImmunology and Micro…Neuroscience: 1.29× its world share, 27 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.04× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.27× its world share, 1 worksChemical EngineeringChemistry: 0.36× its world share, 7 worksChemistryComputer Science: 5.46× its world share, 557 worksComputer ScienceEarth and Planetary Sciences: 0.26× its world share, 5 worksEarth and Planetary …Energy: 0.54× its world share, 7 worksEnergyEngineering: 1.57× its world share, 309 worksEngineeringEnvironmental Science: 0.49× its world share, 32 worksEnvironmental ScienceMaterials Science: 0.66× its world share, 30 worksMaterials ScienceMathematics: 0.31× its world share, 5 worksMathematicsPhysics and Astronomy: 0.37× its world share, 11 worksPhysics and AstronomyDentistry: 0.63× its world share, 4 worksDentistryHealth Professions: 0.77× its world share, 27 worksHealth ProfessionsMedicine: 0.36× its world share, 92 worksMedicineNursing: 0.08× its world share, 0 worksNursingVeterinary: 0.37× its world share, 1 worksVeterinaryArts and Humanities: 0.25× its world share, 9 worksArts and HumanitiesBusiness, Management and Accounting: 0.65× its world share, 28 worksBusiness, Management…Decision Sciences: 1.77× its world share, 22 worksDecision SciencesEconomics, Econometrics and Finance: 0.48× its world share, 14 worksEconomics, Econometr…Psychology: 1.07× its world share, 43 worksPsychologySocial Sciences: 0.24× its world share, 40 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 5.5×. Every wedge is a field page.

Who are the top researchers at Indira Gandhi Delhi Technical University for Women?

Ranked on the composite score, Nonita Sharma, Arunima Jaiswal and Arun Sharma lead among researchers whose main affiliation is Indira Gandhi Delhi Technical University for Women.

  1. 1 Nonita Sharma India · #495,847 worldwide 81 citations · 28 works
  2. 2 Arunima Jaiswal India · #660,111 worldwide 30 citations · 31 works
  3. 3 Arun Sharma India · #770,232 worldwide 108 citations · 56 works
  4. 4 K. R. Seeja India · #832,920 worldwide 80 citations · 19 works
  5. 5 Devendra K. Tayal India · #1,143,243 worldwide 50 citations · 25 works
  6. 6 Vivek Chawla India · #1,151,833 worldwide 24 citations · 15 works
  7. 7 Amar Kumar Mohapatra India · #1,198,158 worldwide 49 citations · 27 works
  8. 8 Niyati Baliyan India · #1,234,722 worldwide 39 citations · 21 works
  9. 9 Nidhi Goel India · #1,263,673 worldwide 53 citations · 28 works
  10. 10 Ritu Rani India · #1,295,506 worldwide 32 citations · 43 works
All ranked researchers at Indira Gandhi Delhi Technical University for Women

Which keywords describe research at Indira Gandhi Delhi Technical University for Women?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Convolutional Neural Networks, Feature Extraction, Security, Healthcare and Medical Imaging.

▲ 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 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 Learning369▲ 8.2×71 topics
  2. Machine Learning247▲ 5.8×76 topics
  3. Neural Networks138▲ 6.8×33 topics
  4. Convolutional Neural Networks116▲ 12×13 topics
  5. Feature Extraction65▲ 11×10 topics
  6. Healthcare60▲ 4.1×14 topics
  7. Security57▲ 6.7×18 topics
  8. Internet of Things52▲ 4.6×19 topics
  9. Social Media51▲ 2.7×17 topics
  10. Data Mining48▲ 4.9×13 topics
  11. Medical Imaging47▲ 7.0×7 topics
  12. IoT Security44▲ 11×3 topics
  13. Feature Selection42▲ 14×6 topics
  14. Artificial Intelligence40▲ 2.2×26 topics
  15. Classification40▲ 6.6×10 topics
  16. Wireless Sensor Networks37▲ 6.2×16 topics
  17. Image Processing35▲ 6.1×11 topics
  18. Emotion Recognition34▲ 14×4 topics
  19. Detection33▲ 8.6×7 topics
  20. Anomaly Detection33▲ 8.6×5 topics
  21. Behavioral Analysis31▲ 20×2 topics
  22. Information Retrieval31▲ 11×5 topics
  23. Text Classification31▲ 15×3 topics
  24. IoT30▲ 6.2×14 topics
  25. Security Analysis30▲ 13×4 topics
  26. Sentiment Analysis30▲ 20×2 topics
  27. Medical Image Analysis29▲ 12×4 topics
  28. Environmental Monitoring28▲ 5.7×8 topics
  29. Transfer Learning28▲ 11×3 topics
  30. Privacy28▲ 7.1×6 topics
  31. Support Vector Machines26▲ 6.3×8 topics
  32. Big Data Analytics25▲ 8.7×4 topics
  33. Face Recognition24▲ 16×2 topics
  34. Cybersecurity24▲ 7.6×5 topics
  35. Text Mining23▲ 13×6 topics
  36. Topic Modeling23▲ 12×3 topics
  37. Human-Computer Interaction22▲ 9.7×5 topics
  38. Machine Translation21▲ 9.7×2 topics
  39. Intrusion Detection21▲ 11×4 topics
  40. Semantic Similarity21▲ 13×1 topic

Which research topics does Indira Gandhi Delhi Technical University for Women publish most on?

By volume in 2022–2025: Topic Modeling, Sentiment Analysis and Opinion Mining, Advanced Malware Detection Techniques and Artificial Intelligence in Healthcare.

  1. 1 Topic Modeling Artificial Intelligence 21 works
  2. 2 Sentiment Analysis and Opinion Mining Artificial Intelligence 20 works
  3. 3 Advanced Malware Detection Techniques Signal Processing 20 works
  4. 4 Artificial Intelligence in Healthcare Health Information Management 19 works
  5. 5 Network Security and Intrusion Detection Computer Networks and Communications 18 works
  6. 6 AI in cancer detection Artificial Intelligence 16 works
  7. 7 Antenna Design and Analysis Aerospace Engineering 16 works
  8. 8 Face recognition and analysis Computer Vision and Pattern Recognition 15 works
  9. 9 Blockchain Technology Applications and Security Information Systems 15 works
  10. 10 Speech Recognition and Synthesis Artificial Intelligence 15 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 available20.6%not open79.4%

World: 28% of research is openly available.

with international co-authors4.2%domestic only95.8%

World: 19% is written across borders.

How has Indira Gandhi Delhi Technical University for Women's research output changed?

Output in 2018–2022 was 231% higher than in 2013–2017.

1990200020102020
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 New Delhi

All research institutions in New Delhi

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.