Science Explorer Interactive view Map
Company · Tokyo · Japan

Mitsubishi Space Software (Japan)

Research works
97
▼ 43% vs 2013–17
Citations
2.2k
22.6 per fractional work
Top-10% rate
0.0%
record average 16.5%
Open access
34%
world 28%

Not ranked overall: Mitsubishi Space Software (Japan) 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.

Which keywords describe research at Mitsubishi Space Software (Japan)?

By fractional works in all years, weighted toward what it does more of than the world: Remote Sensing, SAR Interferometry, Surface Deformation Monitoring, Hydrological Modeling, Machine Learning, Data Assimilation, Validation and QTL Mapping.

▲ 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 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. Remote Sensing7▲ 6.5×14 topics
  2. Machine Learning6▲ 2.8×15 topics
  3. SAR Interferometry4▲ 248×1 topic
  4. Surface Deformation Monitoring4▲ 248×1 topic
  5. Hydrological Modeling4▲ 19×4 topics
  6. Data Assimilation3▲ 19×3 topics
  7. Validation3▲ 34×2 topics
  8. QTL Mapping3▲ 25×3 topics
  9. Soil Moisture3▲ 28×2 topics
  10. Cell-Free DNA3▲ 30×2 topics
  11. Cancer Genomics3▲ 49×1 topic
  12. Chemotherapy3▲ 3.8×7 topics
  13. Global Monitoring3▲ 112×1 topic
  14. Mutational Signatures3▲ 49×1 topic
  15. Satellite Observations3▲ 23×1 topic
  16. Gene Expression2▲ 4.3×9 topics
  17. Optimization2▲ 4.8×5 topics
  18. Bioinformatics2▲ 20×4 topics
  19. Phylogenetic Analysis2▲ 6.3×2 topics
  20. RNA-Seq2▲ 25×2 topics
  21. Functional Genomics2▲ 25×2 topics
  22. Synthetic Biology2▲ 28×2 topics
  23. genome annotation2▲ 31×1 topic
  24. sequence alignment2▲ 31×1 topic
  25. Convolutional Neural Networks2▲ 5.2×4 topics
  26. Data Analysis2▲ 6.5×4 topics
  27. Feature Selection2▲ 12×3 topics
  28. Quantitative Trait Loci2▲ 28×3 topics
  29. Genetic Mapping2▲ 19×2 topics
  30. Sensor Fusion2▲ 23×2 topics
  31. Geodetic Measurements2▲ 14×2 topics
  32. Inertial Navigation Systems2▲ 65×1 topic
  33. Kalman Filtering2▲ 65×1 topic
  34. Optimal Control2▲ 24×2 topics
  35. Superconductivity2▲ 6.1×5 topics
  36. Crop Improvement2▲ 28×1 topic
  37. Genome-wide Association Studies2▲ 50×1 topic
  38. Marker-Assisted Selection2▲ 17×2 topics
  39. Earthquakes2▲ 20×1 topic
  40. Subduction2▲ 16×1 topic

Which research topics does Mitsubishi Space Software (Japan) publish most on?

By volume in 2022–2025: Genetic factors in colorectal cancer, Remote Sensing and Land Use, Cancer Genomics and Diagnostics and Colorectal Cancer Treatments and Studies.

  1. 1 Genetic factors in colorectal cancer Pathology and Forensic Medicine 1 works
  2. 2 Remote Sensing and Land Use Atmospheric Science 0 works
  3. 3 Cancer Genomics and Diagnostics Cancer Research 0 works
  4. 4 Colorectal Cancer Treatments and Studies Oncology 0 works
  5. 5 Simulation and Modeling Applications Control and Systems Engineering 0 works
  6. 6 Remote Sensing and LiDAR Applications Environmental Engineering 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 available34.1%not open65.9%

World: 28% of research is openly available.

with international co-authors14.9%domestic only85.1%

World: 19% is written across borders.

How has Mitsubishi Space Software (Japan)'s research output changed?

Output in 2018–2022 was 43% lower 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 Tokyo

All research institutions in Tokyo

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.