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Researcher · Microsoft (United States) · United States

Jake M. Hofman

Jake M. Hofman publishes mostly in Artificial Intelligence, Statistical and Nonlinear Physics and Sociology and Political Science, on topics such as Complex Network Analysis Techniques, Opinion Dynamics and Social Influence and Explainable Artificial Intelligence (XAI).

ORCID 0000-0002-9364-9604 OpenAlex
World rank
#66,976
of 7,710,434 ranked researchers
Rank in United States
#25,826
of 1,627,098
Works
91
Citations
8.8k
Citations per work
96.5
h-index
30
i10-index 46Top 4.8% in Artificial Intelligence
Jake M. Hofman

What does Jake M. Hofman research?

Jake M. Hofman's work is mostly in Computer Science (22%), Physics and Astronomy (10%), Social Sciences (7%).

Everything else: 47 works · 51.5% of their workPhysical Sciences: 29 works · 31.8% of their workComputer Science: 20 works · 21.9% of their workArtificial Intelligence: 15 works · 16.7% of their workInformation Systems: 5 works · 5.2% of their workPhysics and Astronomy: 9 works · 9.9% of their workStatistical and Nonlinear Physics: 9 works · 9.9% of their workSocial Sciences: 10 works · 11.1% of their workSocial Sciences: 6 works · 7.1% of their workSociology and Political Science: 6 works · 7.1% of their workDecision Sciences: 4 works · 4.0% of their workManagement Science and Operations Research: 4 works · 4.0% of their workLife Sciences: 5 works · 5.6% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 5.6% of their workMolecular Biology: 5 works · 5.6% of their workTHEIR WORKJake M. Hofman91works
Life Sciences6%Physical Sciences32%Social Sciences11%

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. Everything else4751.5%
    1. Computer Science2021.9%
    2. Physics and Astronomy99.9%
    1. Social Sciences67.1%
    2. Decision Sciences44.0%
    1. Biochemistry, Genetics and Molecular Biology55.6%
  1. 1Artificial Intelligence17% of their works
  2. 2Statistical and Nonlinear Physics10% of their works
  3. 3Sociology and Political Science7% of their works
  4. 4Molecular Biology6% of their works
  5. 5Information Systems5% of their works
  6. 6Management Science and Operations Research4% of their works

Research topics

Which keywords describe Jake M. Hofman's research?

The keywords of their largest research topics: Network Dynamics, Social Influence, Polarization, Big Data, Community Structure, Scale-Free Networks, Bounded Confidence and Opinion Dynamics.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 20 words, with their numbers
  1. Network Dynamics252 topics
  2. Social Influence252 topics
  3. Polarization172 topics
  4. Big Data142 topics
  5. Community Structure131 topic
  6. Scale-Free Networks131 topic
  7. Bounded Confidence121 topic
  8. Opinion Dynamics121 topic
  9. Interpretable Models111 topic
  10. Machine Learning Interpretability111 topic
  11. Ethics81 topic
  12. Fairness81 topic
  13. Information Visualization61 topic
  14. Visual Analytics61 topic
  15. Automatic51 topic
  16. Data Science51 topic
  17. Extraction51 topic
  18. Fake News51 topic
  19. Misinformation51 topic
  20. Statistics Anxiety51 topic

Where does Jake M. Hofman work?

Jake M. Hofman's main affiliation in the publication record is Microsoft (United States), United States.

How many publications and citations does Jake M. Hofman have?

OpenAlex counts 91 works and 8,786 citations for Jake M. Hofman, an h-index of 30, ranking #66,976 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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.

Discussion

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