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Company · Mumbai · India

Tata Motors (India)

In research, Tata Motors (India) stands highest in Engineering (#6,083 of 6,636 worldwide), Physical Sciences (#11,865 of 12,888 worldwide) and Mechanical Engineering (#1,350 of 1,351 worldwide), 2022–2025. Relative to its size it is most specialised in Automotive Engineering, Mechanical Engineering and Engineering — Automotive Engineering is 37.8× its share of world research.

World rank, 2022–2025
#22,593
of 28,054 · #30,747 all time
Rank in India
#1,508
of 1,840
Research works
907
▲ 74% vs 2013–17
Citations
3.2k
3.5 per fractional work
Top-10% rate
2.6%
record average 16.5%
Open access
14%
world 28%

What is Tata Motors (India) 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 #6,083 of 6,636 1.7%194 #8924
Physical SciencesDomain #11,865 of 12,888 2.2%222 #17574
Mechanical EngineeringSubfield #1,350 of 1,351 0.6%60 #2659

Each strip is that field’s whole ranked pool, with the notch where Tata Motors (India) 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#8,924 #6,083
  2. Physical Sciences#17,574 #11,865
  3. Mechanical Engineering#2,659 #1,350
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 Tata Motors (India) specialise in?

Where its research is concentrated relative to its size: Automotive Engineering takes 37.8× the share of its output that it takes of world research.

  1. Automotive EngineeringSubfield · 54.5 works38×
  2. Mechanical EngineeringSubfield · 60.0 works12×
  3. EngineeringField · 193.8 works4.8×
← 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: 0.23× its world share, 3 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.15× its world share, 2 worksBiochemistry, Geneti…Immunology and Microbiology: 0.16× its world share, 0 worksImmunology and Micro…Neuroscience: 0.22× its world share, 1 worksNeuroscienceChemical Engineering: 5.22× its world share, 5 worksChemical EngineeringChemistry: 0.15× its world share, 1 worksChemistryComputer Science: 0.37× its world share, 8 worksComputer ScienceEnergy: 1.85× its world share, 5 worksEnergyEngineering: 4.79× its world share, 194 worksEngineeringEnvironmental Science: 0.28× its world share, 4 worksEnvironmental ScienceMaterials Science: 0.60× its world share, 6 worksMaterials SciencePhysics and Astronomy: 0.11× its world share, 1 worksPhysics and AstronomyDentistry: 0.18× its world share, 0 worksDentistryHealth Professions: 1.07× its world share, 8 worksHealth ProfessionsMedicine: 0.38× its world share, 20 worksMedicineNursing: 0.18× its world share, 0 worksNursingArts and Humanities: 0.41× its world share, 3 worksArts and HumanitiesBusiness, Management and Accounting: 0.41× its world share, 4 worksBusiness, Management…Decision Sciences: 0.66× its world share, 2 worksDecision SciencesEconomics, Econometrics and Finance: 0.08× its world share, 0 worksEconomics, Econometr…Psychology: 0.21× its world share, 2 worksPsychologySocial Sciences: 0.08× its world share, 3 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Chemical Engineering, 5.2×. Every wedge is a field page.

Which keywords describe research at Tata Motors (India)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Electric Vehicles, Model Predictive Control, Thermal Management, Optimization, Finite Element Analysis, Lithium-ion Batteries, Genetic Algorithms and Vehicle Suspension.

▲ 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. Electric Vehicles42▲ 53×5 topics
  2. Model Predictive Control24▲ 35×4 topics
  3. Thermal Management17▲ 19×4 topics
  4. Optimization17▲ 14×6 topics
  5. Finite Element Analysis17▲ 27×5 topics
  6. Lithium-ion Batteries17▲ 15×3 topics
  7. Genetic Algorithms16▲ 40×3 topics
  8. Vehicle Suspension16▲ 184×2 topics
  9. Mechanical Behavior16▲ 48×2 topics
  10. Vehicle Dynamics16▲ 101×2 topics
  11. Composite Springs15▲ 193×1 topic
  12. Energy Efficiency15▲ 6.1×10 topics
  13. Fatigue Life Prediction15▲ 193×1 topic
  14. Environmental Impact14▲ 3.1×9 topics
  15. Battery Management Systems14▲ 34×1 topic
  16. Thermal Runaway14▲ 34×1 topic
  17. Control Strategies13▲ 34×4 topics
  18. Energy Storage Systems12▲ 33×2 topics
  19. Vibration Control12▲ 75×2 topics
  20. Hybrid Vehicles12▲ 121×1 topic
  21. Power Management Strategy12▲ 121×1 topic
  22. Renewable Energy Integration11▲ 12×4 topics
  23. Autonomous Vehicles10▲ 18×3 topics
  24. Control Systems10▲ 20×3 topics
  25. Heat Transfer10▲ 7.1×12 topics
  26. Battery Technology9▲ 12×2 topics
  27. Sound Quality9▲ 270×1 topic
  28. Transfer Path Analysis9▲ 270×1 topic
  29. Numerical Simulation9▲ 11×7 topics
  30. Ejectors9▲ 107×1 topic
  31. Refrigerants9▲ 107×1 topic
  32. Smart Grid9▲ 8.6×3 topics
  33. Active Steering8▲ 110×1 topic
  34. Tire-Road Friction Estimation8▲ 110×1 topic
  35. Failure Analysis8▲ 30×4 topics
  36. Eco-Driving8▲ 56×1 topic
  37. Fuel Consumption8▲ 39×1 topic
  38. Life Cycle Assessment8▲ 11×3 topics
  39. Railway Bridges8▲ 72×2 topics
  40. Drag Reduction7▲ 60×2 topics

Which research topics does Tata Motors (India) publish most on?

By volume in 2022–2025: Mechanical Engineering and Vibrations Research, Advanced Battery Technologies Research, Electric and Hybrid Vehicle Technologies and Vehicle Noise and Vibration Control.

  1. 1 Mechanical Engineering and Vibrations Research Mechanical Engineering 15 works
  2. 2 Advanced Battery Technologies Research Automotive Engineering 14 works
  3. 3 Electric and Hybrid Vehicle Technologies Automotive Engineering 12 works
  4. 4 Vehicle Noise and Vibration Control Automotive Engineering 9 works
  5. 5 Refrigeration and Air Conditioning Technologies Mechanical Engineering 9 works
  6. 6 Vehicle Dynamics and Control Systems Automotive Engineering 8 works
  7. 7 Vehicle emissions and performance Automotive Engineering 8 works
  8. 8 Aerodynamics and Fluid Dynamics Research Aerospace Engineering 7 works
  9. 9 Electric Vehicles and Infrastructure Electrical and Electronic Engineering 7 works
  10. 10 Advanced Combustion Engine Technologies Fluid Flow and Transfer Processes 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.

openly available14.0%not open86.0%

World: 28% of research is openly available.

with international co-authors12.7%domestic only87.3%

World: 19% is written across borders.

How has Tata Motors (India)'s research output changed?

Output in 2018–2022 was 74% 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 Mumbai

All research institutions in Mumbai

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.