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Researcher · Weill Cornell Medical College in Qatar · Qatar

Arfan Ahmed

Arfan Ahmed publishes mostly in Experimental and Cognitive Psychology, Applied Psychology and Artificial Intelligence, on topics such as Digital Mental Health Interventions, Mental Health via Writing and Artificial Intelligence in Healthcare and Education.

ORCID 0000-0002-4025-5767 OpenAlex
World rank
#32,481
of 7,710,434 ranked researchers
Rank in Qatar
#22
of 3,423
Works
122
Citations
3.8k
Citations per work
30.8
h-index
33
i10-index 47Top 8.5% in Experimental and Cognitive Psychology
Arfan Ahmed

What does Arfan Ahmed research?

Arfan Ahmed's work is mostly in Psychology (22%), Medicine (11%), Computer Science (7%).

Everything else: 73 works · 59.8% of their workSocial Sciences: 27 works · 22.2% of their workPsychology: 27 works · 22.2% of their workExperimental and Cognitive Psychology: 10 works · 8.2% of their workApplied Psychology: 10 works · 7.9% of their workSocial Psychology: 7 works · 6.1% of their workHealth Sciences: 13 works · 11.0% of their workMedicine: 13 works · 11.0% of their workRadiology, Nuclear Medicine and Imaging: 7 works · 5.8% of their workPsychiatry and Mental health: 6 works · 5.2% of their workPhysical Sciences: 9 works · 7.0% of their workComputer Science: 9 works · 7.0% of their workArtificial Intelligence: 9 works · 7.0% of their workTHEIR WORKArfan Ahmed122works
Physical Sciences7%Health Sciences11%Social Sciences22%

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 else7359.8%
    1. Psychology2722.2%
    1. Medicine1311.0%
    1. Computer Science97.0%
  1. 1Experimental and Cognitive Psychology8% of their works
  2. 2Applied Psychology8% of their works
  3. 3Artificial Intelligence7% of their works
  4. 4Social Psychology6% of their works
  5. 5Radiology, Nuclear Medicine and Imaging6% of their works
  6. 6Psychiatry and Mental health5% of their works

Research topics

Which keywords describe Arfan Ahmed's research?

The keywords of their largest research topics: Machine Learning, Cognitive Behavioral Therapy, Internet-based Interventions, Medical Imaging, Precision Medicine, Psychological Language Analysis, Social Media and Feature Extraction.

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. Machine Learning353 topics
  2. Cognitive Behavioral Therapy261 topic
  3. Internet-based Interventions261 topic
  4. Medical Imaging192 topics
  5. Precision Medicine192 topics
  6. Psychological Language Analysis161 topic
  7. Social Media161 topic
  8. Feature Extraction142 topics
  9. Artificial Intelligence121 topic
  10. Healthcare121 topic
  11. Alzheimer's Disease111 topic
  12. Mild Cognitive Impairment111 topic
  13. Network Analysis101 topic
  14. Psychopathology101 topic
  15. Emotion Recognition71 topic
  16. Multimodal Data71 topic
  17. Older Adults71 topic
  18. Quantitative Analysis71 topic
  19. Radiomics71 topic
  20. Technology Use71 topic

Where does Arfan Ahmed work?

Arfan Ahmed's main affiliation in the publication record is Weill Cornell Medical College in Qatar, Qatar.

How many publications and citations does Arfan Ahmed have?

OpenAlex counts 122 works and 3,758 citations for Arfan Ahmed, an h-index of 33, ranking #32,481 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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