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Researcher · University of Warwick · United Kingdom

James Q. Smith

James Q. Smith publishes mostly in Artificial Intelligence, Management Science and Operations Research and Signal Processing, on topics such as Bayesian Modeling and Causal Inference, Bayesian Methods and Mixture Models and Rough Sets and Fuzzy Logic.

OpenAlex
World rank
#1,551,031
of 7,710,434 ranked researchers
Rank in United Kingdom
#118,507
of 367,258
Works
33
Citations
1.1k
Citations per work
33.1
h-index
11
i10-index 11Top 37% in Artificial Intelligence
James Q. Smith

What does James Q. Smith research?

James Q. Smith's work is mostly in Computer Science (40%), Decision Sciences (11%), Agricultural and Biological Sciences (4%).

Everything else: 14 works · 41.0% of their workPhysical Sciences: 13 works · 40.1% of their workComputer Science: 13 works · 40.1% of their workArtificial Intelligence: 10 works · 31.3% of their workSignal Processing: 2 works · 5.0% of their workComputational Theory and Mathematics: 1 works · 3.8% of their workSocial Sciences: 4 works · 11.3% of their workDecision Sciences: 4 works · 11.3% of their workManagement Science and Operations Research: 4 works · 11.3% of their workLife Sciences: 3 works · 7.6% of their workAgricultural and Biological Sciences: 1 works · 3.8% of their workPlant Science: 1 works · 3.8% of their workNeuroscience: 1 works · 3.8% of their workCognitive Neuroscience: 1 works · 3.8% of their workTHEIR WORKJames Q. Smith33works
Life Sciences8%Physical Sciences40%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 else1441.0%
    1. Computer Science1340.1%
    1. Decision Sciences411.3%
    1. Agricultural and Biological Sciences13.8%
    2. Neuroscience13.8%
  1. 1Artificial Intelligence31% of their works
  2. 2Management Science and Operations Research11% of their works
  3. 3Signal Processing5% of their works
  4. 4Cognitive Neuroscience4% of their works
  5. 5Plant Science4% of their works
  6. 6Computational Theory and Mathematics4% of their works

Research topics

Which keywords describe James Q. Smith's research?

The keywords of their largest research topics: Bayesian Networks, Causal Inference, Clustering, Analytic Hierarchy Process, Bayesian Inference, Data Cleaning, Granular Computing and Mixture Models.

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 17 words, with their numbers
  1. Bayesian Networks171 topic
  2. Causal Inference171 topic
  3. Clustering52 topics
  4. Analytic Hierarchy Process31 topic
  5. Bayesian Inference31 topic
  6. Data Cleaning31 topic
  7. Granular Computing31 topic
  8. Mixture Models31 topic
  9. Record Linkage31 topic
  10. Rough Sets31 topic
  11. TOPSIS31 topic
  12. Dynamic Time Warping21 topic
  13. Functional Connectivity21 topic
  14. GPS Trajectories21 topic
  15. Resting-State fMRI21 topic
  16. Time Series21 topic
  17. Trajectory Data Mining21 topic

Where does James Q. Smith work?

James Q. Smith's main affiliation in the publication record is University of Warwick, United Kingdom.

How many publications and citations does James Q. Smith have?

OpenAlex counts 33 works and 1,092 citations for James Q. Smith, an h-index of 11, ranking #1,551,031 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.

Discussion

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