Science Explorer Back to mapMap
Discussion
Researcher · Universitas Jember · Indonesia

Muhammad Ainul Fikri

Muhammad Ainul Fikri publishes mostly in Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as Edcuational Technology Systems, Gaze Tracking and Assistive Technology and Data Mining and Machine Learning Applications.

ORCID 0009-0001-7090-8554 OpenAlex
World rank
#3,318,767
of 7,710,434 ranked researchers
Rank in Indonesia
#15,411
of 148,020
Works
19
Citations
81
Citations per work
4.3
h-index
4
i10-index 3Top 69% in Information Systems
Muhammad Ainul Fikri

What does Muhammad Ainul Fikri research?

Muhammad Ainul Fikri's work is mostly in Computer Science (51%), Neuroscience (6%), Medicine (6%).

Physical Sciences: 10 works · 50.9% of their workComputer Science: 10 works · 50.9% of their workInformation Systems: 3 works · 17.6% of their workArtificial Intelligence: 3 works · 15.7% of their workComputer Vision and Pattern Recognition: 2 works · 9.8% of their workHuman-Computer Interaction: 1 works · 7.8% of their workEverything else: 7 works · 37.3% of their workLife Sciences: 1 works · 5.9% of their workNeuroscience: 1 works · 5.9% of their workCognitive Neuroscience: 1 works · 5.9% of their workHealth Sciences: 1 works · 5.9% of their workMedicine: 1 works · 5.9% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 5.9% of their workTHEIR WORKMuhammad AinulFikri19works
Life Sciences6%Physical Sciences51%Health Sciences6%

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 Science1050.9%
  2. Everything else737.3%
    1. Neuroscience15.9%
    1. Medicine15.9%
  1. 1Information Systems18% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Computer Vision and Pattern Recognition10% of their works
  4. 4Human-Computer Interaction8% of their works
  5. 5Cognitive Neuroscience6% of their works
  6. 6Radiology, Nuclear Medicine and Imaging6% of their works

Research topics

Which keywords describe Muhammad Ainul Fikri's research?

The keywords of their largest research topics: Artificial Intelligence, Data Mining, Machine Learning, Decision Support System, Expert Systems, Classification Algorithms, E-Learning and Eye Tracking.

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 20 words, with their numbers
  1. Artificial Intelligence92 topics
  2. Data Mining92 topics
  3. Machine Learning72 topics
  4. Decision Support System51 topic
  5. Expert Systems51 topic
  6. Classification Algorithms41 topic
  7. E-Learning42 topics
  8. Eye Tracking41 topic
  9. Gaze Estimation41 topic
  10. Neural Networks41 topic
  11. Artificial Neural Networks21 topic
  12. Blockchain21 topic
  13. Brain-Computer Interfaces21 topic
  14. Digital Image Processing21 topic
  15. Digital Literacy21 topic
  16. EEG Analysis21 topic
  17. Education21 topic
  18. Object Tracking21 topic
  19. School Literacy Movement21 topic
  20. Visual Tracking21 topic

Where does Muhammad Ainul Fikri work?

Muhammad Ainul Fikri's main affiliation in the publication record is Universitas Jember, Indonesia.

How many publications and citations does Muhammad Ainul Fikri have?

OpenAlex counts 19 works and 81 citations for Muhammad Ainul Fikri, an h-index of 4, ranking #3,318,767 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

Ask a question or share a note about Muhammad Ainul Fikri. Posts are plain text and can be reported.