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Researcher · Binus University · Indonesia

Bens Pardamean

Bens Pardamean publishes mostly in Artificial Intelligence, Information Systems and Molecular Biology, on topics such as Genetic Associations and Epidemiology, Smart Agriculture and AI and Oil Palm Production and Sustainability.

ORCID 0000-0002-7404-9005 OpenAlex
World rank
#1,313,607
of 7,710,434 ranked researchers
Rank in Indonesia
#2,605
of 148,020
Works
476
Citations
4.7k
Citations per work
9.9
h-index
34
i10-index 133Top 3.4% in Artificial Intelligence
Bens Pardamean

What does Bens Pardamean research?

Bens Pardamean's work is mostly in Computer Science (21%), Biochemistry, Genetics and Molecular Biology (12%), Agricultural and Biological Sciences (5%).

Everything else: 301 works · 63.2% of their workPhysical Sciences: 98 works · 20.6% of their workComputer Science: 98 works · 20.6% of their workArtificial Intelligence: 40 works · 8.4% of their workInformation Systems: 36 works · 7.6% of their workComputer Vision and Pattern Recognition: 22 works · 4.6% of their workLife Sciences: 77 works · 16.2% of their workBiochemistry, Genetics and Molecular Biology: 55 works · 11.6% of their workMolecular Biology: 33 works · 6.9% of their workGenetics: 22 works · 4.7% of their workAgricultural and Biological Sciences: 22 works · 4.6% of their workPlant Science: 22 works · 4.6% of their workTHEIR WORKBens Pardamean476works
Life Sciences16%Physical Sciences21%

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 else30163.2%
    1. Computer Science9820.6%
    1. Biochemistry, Genetics and Molecular Biology5511.6%
    2. Agricultural and Biological Sciences224.6%
  1. 1Artificial Intelligence8% of their works
  2. 2Information Systems8% of their works
  3. 3Molecular Biology7% of their works
  4. 4Genetics5% of their works
  5. 5Plant Science5% of their works
  6. 6Computer Vision and Pattern Recognition5% of their works

Research topics

Which keywords describe Bens Pardamean's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Gene Expression, Artificial Intelligence, Environmental Monitoring, Genetic Variation, Genome-Wide Association and Biodiversity.

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 21 words, with their numbers
  1. Machine Learning745 topics
  2. Deep Learning473 topics
  3. Gene Expression352 topics
  4. Artificial Intelligence312 topics
  5. Environmental Monitoring312 topics
  6. Genetic Variation211 topic
  7. Genome-Wide Association211 topic
  8. Biodiversity171 topic
  9. Oil Palm Expansion171 topic
  10. Plant Disease Detection171 topic
  11. Smart Farming171 topic
  12. COVID-19161 topic
  13. Medical Imaging161 topic
  14. Decision Support System151 topic
  15. Expert Systems151 topic
  16. Air Quality Monitoring141 topic
  17. Data Analysis141 topic
  18. Low-Cost Sensors141 topic
  19. Microarray141 topic
  20. Opinion Mining141 topic
  21. Sentiment Analysis141 topic

Where does Bens Pardamean work?

Bens Pardamean's main affiliation in the publication record is Binus University, Indonesia.

How many publications and citations does Bens Pardamean have?

OpenAlex counts 476 works and 4,703 citations for Bens Pardamean, an h-index of 34, ranking #1,313,607 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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