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Researcher · MIT Lincoln Laboratory · United States

Nadya T. Bliss

Nadya T. Bliss publishes mostly in Statistical and Nonlinear Physics, Computer Networks and Communications and Computer Vision and Pattern Recognition, on topics such as Complex Network Analysis Techniques, Advanced Graph Neural Networks and Distributed and Parallel Computing Systems.

OpenAlex
World rank
#1,062,402
of 7,710,434 ranked researchers
Rank in United States
#344,957
of 1,627,098
Works
64
Citations
1.1k
Citations per work
16.6
h-index
16
i10-index 23Top 27% in Statistical and Nonlinear Physics
Nadya T. Bliss

What does Nadya T. Bliss research?

Nadya T. Bliss's work is mostly in Computer Science (41%), Physics and Astronomy (12%), Engineering (8%).

Physical Sciences: 39 works · 61.4% of their workComputer Science: 26 works · 40.9% of their workComputer Networks and Communications: 8 works · 12.3% of their workComputer Vision and Pattern Recognition: 7 works · 11.7% of their workArtificial Intelligence: 7 works · 10.5% of their workHardware and Architecture: 4 works · 6.4% of their workPhysics and Astronomy: 8 works · 12.3% of their workStatistical and Nonlinear Physics: 8 works · 12.3% of their workEngineering: 5 works · 8.2% of their workElectrical and Electronic Engineering: 5 works · 8.2% of their workEverything else: 25 works · 38.6% of their workTHEIR WORKNadya T. Bliss64works
Physical Sciences61%

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 Science2640.9%
    2. Physics and Astronomy812.3%
    3. Engineering58.2%
  2. Everything else2538.6%
  1. 1Statistical and Nonlinear Physics12% of their works
  2. 2Computer Networks and Communications12% of their works
  3. 3Computer Vision and Pattern Recognition12% of their works
  4. 4Artificial Intelligence10% of their works
  5. 5Electrical and Electronic Engineering8% of their works
  6. 6Hardware and Architecture6% of their works

Research topics

Which keywords describe Nadya T. Bliss's research?

The keywords of their largest research topics: Community Structure, Network Dynamics, High-Performance Computing, Deep Learning, Distributed Systems, Graph Neural Networks, Grid Computing and Knowledge Graph Embedding.

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 18 words, with their numbers
  1. Community Structure191 topic
  2. Network Dynamics191 topic
  3. High-Performance Computing152 topics
  4. Deep Learning132 topics
  5. Distributed Systems81 topic
  6. Graph Neural Networks81 topic
  7. Grid Computing81 topic
  8. Knowledge Graph Embedding81 topic
  9. Parallel Computing71 topic
  10. Performance Optimization71 topic
  11. Persistent Homology61 topic
  12. Topological Methods61 topic
  13. Depth Estimation51 topic
  14. Feature Matching51 topic
  15. Gene Set Enrichment Analysis51 topic
  16. Local Descriptors51 topic
  17. Protein-Protein Interaction Networks51 topic
  18. Stereo Vision51 topic

Where does Nadya T. Bliss work?

Nadya T. Bliss's main affiliation in the publication record is MIT Lincoln Laboratory, United States.

How many publications and citations does Nadya T. Bliss have?

OpenAlex counts 64 works and 1,065 citations for Nadya T. Bliss, an h-index of 16, ranking #1,062,402 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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