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Researcher · The University of Melbourne · Australia

Philippa Eleanor Pattison

Philippa Eleanor Pattison publishes mostly in Statistical and Nonlinear Physics, Sociology and Political Science and Clinical Psychology, on topics such as Complex Network Analysis Techniques, Opinion Dynamics and Social Influence and Social Capital and Networks.

ORCID 0000-0001-9626-2897 OpenAlex
World rank
#76,745
of 7,710,434 ranked researchers
Rank in Australia
#2,451
of 140,210
Works
210
Citations
15k
Citations per work
69.8
h-index
58
i10-index 115Top 1% in Statistical and Nonlinear Physics
Philippa Eleanor Pattison

What does Philippa Eleanor Pattison research?

Philippa Eleanor Pattison's work is mostly in Physics and Astronomy (23%), Psychology (10%), Social Sciences (9%).

Everything else: 109 works · 52.1% of their workPhysical Sciences: 54 works · 25.9% of their workPhysics and Astronomy: 48 works · 22.9% of their workStatistical and Nonlinear Physics: 48 works · 22.9% of their workComputer Science: 6 works · 3.0% of their workArtificial Intelligence: 6 works · 3.0% of their workSocial Sciences: 39 works · 18.6% of their workPsychology: 20 works · 9.7% of their workClinical Psychology: 13 works · 6.3% of their workExperimental and Cognitive Psychology: 7 works · 3.4% of their workSocial Sciences: 19 works · 8.9% of their workSociology and Political Science: 19 works · 8.9% of their workHealth Sciences: 7 works · 3.4% of their workMedicine: 7 works · 3.4% of their workEpidemiology: 7 works · 3.4% of their workTHEIR WORKPhilippa EleanorPattison210works
Physical Sciences26%Health Sciences3%Social Sciences19%

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 else10952.1%
    1. Physics and Astronomy4822.9%
    2. Computer Science63.0%
    1. Psychology209.7%
    2. Social Sciences198.9%
    1. Medicine73.4%
  1. 1Statistical and Nonlinear Physics23% of their works
  2. 2Sociology and Political Science9% of their works
  3. 3Clinical Psychology6% of their works
  4. 4Experimental and Cognitive Psychology3% of their works
  5. 5Epidemiology3% of their works
  6. 6Artificial Intelligence3% of their works

Research topics

Which keywords describe Philippa Eleanor Pattison's research?

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

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 Dynamics1212 topics
  2. Social Influence1212 topics
  3. Network Analysis842 topics
  4. Community Structure731 topic
  5. Scale-Free Networks731 topic
  6. Bounded Confidence481 topic
  7. Opinion Dynamics481 topic
  8. Epidemiology222 topics
  9. Social Capital151 topic
  10. Trust151 topic
  11. Posttraumatic Stress Disorder141 topic
  12. Trauma141 topic
  13. Mental Disorders111 topic
  14. Psychopathology111 topic
  15. Response Rates91 topic
  16. Small Area Estimation91 topic
  17. Spatial Microsimulation91 topic
  18. Survey Methodology91 topic
  19. HIV81 topic
  20. drug use81 topic

Where does Philippa Eleanor Pattison work?

Philippa Eleanor Pattison's main affiliation in the publication record is The University of Melbourne, Australia.

How many publications and citations does Philippa Eleanor Pattison have?

OpenAlex counts 210 works and 14,651 citations for Philippa Eleanor Pattison, an h-index of 58, ranking #76,745 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.

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