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Marathon Petroleum (United States)

Research works
21
▲ 107% vs 2013–17
Citations
875
41.9 per fractional work
Top-10% rate
4.9%
record average 16.5%
Open access
8%
world 28%

Not ranked overall: Marathon Petroleum (United States) 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.

Chemistry: 1.06× its world share, 0 worksChemistryEarth and Planetary Sciences: 1.06× its world share, 0 worksEarth and Planetary …Engineering: 4.39× its world share, 4 worksEngineeringEnvironmental Science: 1.26× its world share, 0 worksEnvironmental ScienceMaterials Science: 2.86× its world share, 1 worksMaterials SciencePhysics and Astronomy: 3.00× its world share, 0 worksPhysics and AstronomyDecision Sciences: 3.88× its world share, 0 worksDecision SciencesSocial Sciences: 0.33× its world share, 0 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Engineering, 4.4×. Every wedge is a field page.

Which keywords describe research at Marathon Petroleum (United States)?

By fractional works in all years, weighted toward what it does more of than the world: Optimization, Bayesian Networks, Fault Tree Analysis, Machine Learning, Energy Efficiency, Fault Detection, Model Predictive Control and Nonlinear Systems.

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

All 13 words, with their numbers
  1. Optimization3▲ 23×4 topics
  2. Machine Learning2▲ 4.3×7 topics
  3. Bayesian Networks2▲ 89×1 topic
  4. Fault Tree Analysis2▲ 163×1 topic
  5. Energy Efficiency1▲ 8.8×4 topics
  6. Fault Detection1▲ 53×2 topics
  7. Data-Driven Techniques1▲ 73×1 topic
  8. Model Predictive Control1▲ 26×1 topic
  9. Nonlinear Systems1▲ 26×1 topic
  10. Process Monitoring1▲ 55×1 topic
  11. Scheduling1▲ 71×2 topics
  12. Distillation1▲ 214×1 topic
  13. Process Intensification1▲ 214×1 topic

Which research topics does Marathon Petroleum (United States) publish most on?

By volume in 2022–2025: Advanced Control Systems Optimization, Process Optimization and Integration, Fault Detection and Control Systems and High voltage insulation and dielectric phenomena.

  1. 1 Advanced Control Systems Optimization Control and Systems Engineering 1 works
  2. 2 Process Optimization and Integration Control and Systems Engineering 1 works
  3. 3 Fault Detection and Control Systems Control and Systems Engineering 1 works
  4. 4 High voltage insulation and dielectric phenomena Materials Chemistry 1 works
  5. 5 Lightning and Electromagnetic Phenomena Astronomy and Astrophysics 0 works
  6. 6 Power Transformer Diagnostics and Insulation Electrical and Electronic Engineering 0 works
  7. 7 Construction Project Management and Performance Management Science and Operations Research 0 works
  8. 8 Non-Destructive Testing Techniques Mechanical Engineering 0 works
  9. 9 Thermodynamic and Exergetic Analyses of Power and Cooling Systems Mechanical Engineering 0 works
  10. 10 Combustion and flame dynamics Computational Mechanics 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 available8.5%not open91.5%

World: 28% of research is openly available.

with international co-authors13.9%domestic only86.1%

World: 19% is written across borders.

How has Marathon Petroleum (United States)'s research output changed?

Output in 2018–2022 was 107% 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.

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.