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Researcher · Jagannath University · Bangladesh

Arnisha Akhter

Arnisha Akhter publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Health Information Management, on topics such as Artificial Intelligence in Healthcare, Machine Learning in Healthcare and AI in cancer detection.

ORCID 0000-0001-6342-0916 OpenAlex
World rank
#526,444
of 7,710,434 ranked researchers
Rank in Bangladesh
#555
of 14,256
Works
29
Citations
1.6k
Citations per work
54.8
h-index
15
i10-index 17Top 22% in Artificial Intelligence
Arnisha Akhter

What does Arnisha Akhter research?

Arnisha Akhter's work is mostly in Computer Science (41%), Medicine (10%), Health Professions (7%).

Physical Sciences: 12 works · 40.7% of their workComputer Science: 12 works · 40.7% of their workArtificial Intelligence: 9 works · 29.6% of their workComputer Vision and Pattern Recognition: 2 works · 6.2% of their workComputer Networks and Communications: 1 works · 4.9% of their workEverything else: 11 works · 38.3% of their workHealth Sciences: 5 works · 17.3% of their workMedicine: 3 works · 9.9% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 9.9% of their workHealth Professions: 2 works · 7.4% of their workHealth Information Management: 2 works · 7.4% of their workSocial Sciences: 1 works · 3.7% of their workSocial Sciences: 1 works · 3.7% of their workSociology and Political Science: 1 works · 3.7% of their workTHEIR WORKArnisha Akhter29works
Physical Sciences41%Health Sciences17%Social Sciences4%

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. Computer Science1240.7%
  2. Everything else1138.3%
    1. Medicine39.9%
    2. Health Professions27.4%
    1. Social Sciences13.7%
  1. 1Artificial Intelligence30% of their works
  2. 2Radiology, Nuclear Medicine and Imaging10% of their works
  3. 3Health Information Management7% of their works
  4. 4Computer Vision and Pattern Recognition6% of their works
  5. 5Computer Networks and Communications5% of their works
  6. 6Sociology and Political Science4% of their works

Research topics

Which keywords describe Arnisha Akhter's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Healthcare, Data Mining, Precision Medicine, Predictive Modeling, Convolutional Neural Networks and Medical Imaging.

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 24 words, with their numbers
  1. Machine Learning215 topics
  2. Deep Learning205 topics
  3. Healthcare112 topics
  4. Data Mining92 topics
  5. Precision Medicine92 topics
  6. Predictive Modeling92 topics
  7. Convolutional Neural Networks82 topics
  8. Medical Imaging82 topics
  9. Big Data Analytics61 topic
  10. Medical Diagnosis61 topic
  11. Electronic Health Records51 topic
  12. Patient Similarity51 topic
  13. COVID-1941 topic
  14. Chest X-Ray41 topic
  15. Detection41 topic
  16. Hate Speech41 topic
  17. Histopathology Images41 topic
  18. Medical Image Analysis41 topic
  19. Quantitative Analysis41 topic
  20. Radiomics41 topic
  21. Classification31 topic
  22. Imbalanced Data31 topic
  23. Intrusion Detection31 topic
  24. Network Security31 topic

Where does Arnisha Akhter work?

Arnisha Akhter's main affiliation in the publication record is Jagannath University, Bangladesh.

How many publications and citations does Arnisha Akhter have?

OpenAlex counts 29 works and 1,588 citations for Arnisha Akhter, an h-index of 15, ranking #526,444 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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