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Researcher · Visa (United States) · United States

Mahashweta Das

Mahashweta Das publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Advanced Graph Neural Networks, Recommender Systems and Techniques and Data Mining Algorithms and Applications.

ORCID 0000-0003-1714-1996 OpenAlex
World rank
#1,754,480
of 7,710,434 ranked researchers
Rank in United States
#540,693
of 1,627,098
Works
71
Citations
479
Citations per work
6.7
h-index
12
i10-index 14Top 32% in Artificial Intelligence
Mahashweta Das

What does Mahashweta Das research?

Mahashweta Das's work is mostly in Computer Science (75%), Physics and Astronomy (5%).

Physical Sciences: 57 works · 79.8% of their workComputer Science: 53 works · 75.0% of their workArtificial Intelligence: 24 works · 33.5% of their workInformation Systems: 15 works · 21.3% of their workComputer Vision and Pattern Recognition: 6 works · 9.0% of their workSignal Processing: 5 works · 6.9% of their workComputer Networks and Communications: 3 works · 4.3% of their workPhysics and Astronomy: 3 works · 4.8% of their workStatistical and Nonlinear Physics: 3 works · 4.8% of their workEverything else: 14 works · 20.2% of their workTHEIR WORKMahashweta Das71works
Physical Sciences80%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science5375.0%
    2. Physics and Astronomy34.8%
  2. Everything else1420.2%
  1. 1Artificial Intelligence34% of their works
  2. 2Information Systems21% of their works
  3. 3Computer Vision and Pattern Recognition9% of their works
  4. 4Signal Processing7% of their works
  5. 5Statistical and Nonlinear Physics5% of their works
  6. 6Computer Networks and Communications4% of their works

Research topics

Which keywords describe Mahashweta Das's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Collaborative Filtering, Graph Neural Networks, Knowledge Graph Embedding, Matrix Factorization, Data Mining and Machine Learning.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 20 words, with their numbers
  1. Deep Learning422 topics
  2. Neural Networks282 topics
  3. Collaborative Filtering211 topic
  4. Graph Neural Networks211 topic
  5. Knowledge Graph Embedding211 topic
  6. Matrix Factorization211 topic
  7. Data Mining172 topics
  8. Machine Learning172 topics
  9. Association Rules111 topic
  10. Frequent Patterns111 topic
  11. GPS Trajectories111 topic
  12. Trajectory Data Mining111 topic
  13. Machine Translation71 topic
  14. Word Representation71 topic
  15. Community Structure61 topic
  16. Differential Privacy61 topic
  17. Federated Learning61 topic
  18. Network Dynamics61 topic
  19. Graph Matching51 topic
  20. Graph Processing51 topic

Where does Mahashweta Das work?

Mahashweta Das's main affiliation in the publication record is Visa (United States), United States.

How many publications and citations does Mahashweta Das have?

OpenAlex counts 71 works and 479 citations for Mahashweta Das, an h-index of 12, ranking #1,754,480 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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