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Researcher · University of Minnesota · United States

Brian Baingana

Brian Baingana publishes mostly in Statistical and Nonlinear Physics, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, on topics such as Complex Network Analysis Techniques, Opinion Dynamics and Social Influence and Advanced Neuroimaging Techniques and Applications.

ORCID 0000-0002-8310-5793 OpenAlex
World rank
#1,743,934
of 7,710,434 ranked researchers
Rank in United States
#537,807
of 1,627,098
Works
27
Citations
562
Citations per work
20.8
h-index
10
i10-index 10Top 51% in Statistical and Nonlinear Physics
Brian Baingana

What does Brian Baingana research?

Brian Baingana's work is mostly in Physics and Astronomy (35%), Medicine (8%), Biochemistry, Genetics and Molecular Biology (7%).

Physical Sciences: 13 works · 47.3% of their workPhysics and Astronomy: 9 works · 35.1% of their workStatistical and Nonlinear Physics: 9 works · 35.1% of their workEngineering: 2 works · 6.8% of their workComputational Mechanics: 2 works · 6.8% of their workComputer Science: 1 works · 5.4% of their workComputational Theory and Mathematics: 1 works · 5.4% of their workEverything else: 8 works · 31.0% of their workLife Sciences: 4 works · 13.6% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 6.8% of their workMolecular Biology: 2 works · 6.8% of their workNeuroscience: 2 works · 6.8% of their workCognitive Neuroscience: 2 works · 6.8% of their workHealth Sciences: 2 works · 8.1% of their workMedicine: 2 works · 8.1% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 8.1% of their workTHEIR WORKBrian Baingana27works
Life Sciences14%Physical Sciences47%Health Sciences8%

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. Physics and Astronomy935.1%
    2. Engineering26.8%
    3. Computer Science15.4%
  2. Everything else831.0%
    1. Biochemistry, Genetics and Molecular Biology26.8%
    2. Neuroscience26.8%
    1. Medicine28.1%
  1. 1Statistical and Nonlinear Physics35% of their works
  2. 2Radiology, Nuclear Medicine and Imaging8% of their works
  3. 3Cognitive Neuroscience7% of their works
  4. 4Molecular Biology7% of their works
  5. 5Computational Mechanics7% of their works
  6. 6Computational Theory and Mathematics5% of their works

Research topics

Which keywords describe Brian Baingana's research?

The keywords of their largest research topics: Network Dynamics, Social Influence, Community Structure, Scale-Free Networks, Bounded Confidence, Opinion Dynamics, Machine Learning and Diffusion MRI.

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 19 words, with their numbers
  1. Network Dynamics262 topics
  2. Social Influence262 topics
  3. Community Structure161 topic
  4. Scale-Free Networks161 topic
  5. Bounded Confidence101 topic
  6. Opinion Dynamics101 topic
  7. Machine Learning72 topics
  8. Diffusion MRI51 topic
  9. White Matter51 topic
  10. Compressed Sensing41 topic
  11. Multilinear Algebra41 topic
  12. Sparse Representation41 topic
  13. Tensor Decomposition41 topic
  14. Functional Connectivity31 topic
  15. Information Visualization31 topic
  16. Persistent Homology31 topic
  17. Resting-State fMRI31 topic
  18. Topological Methods31 topic
  19. Visual Analytics31 topic

Where does Brian Baingana work?

Brian Baingana's main affiliation in the publication record is University of Minnesota, United States.

How many publications and citations does Brian Baingana have?

OpenAlex counts 27 works and 562 citations for Brian Baingana, an h-index of 10, ranking #1,743,934 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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