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Researcher · Universitas Dian Nuswantoro · Indonesia

De Rosal Ignatius Moses Setiadi

De Rosal Ignatius Moses Setiadi publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, on topics such as Advanced Steganography and Watermarking Techniques, Chaos-based Image/Signal Encryption and Computer Science and Engineering.

ORCID 0000-0001-6615-4457 OpenAlex
World rank
#300,038
of 7,710,434 ranked researchers
Rank in Indonesia
#279
of 148,020
Works
256
Citations
4.7k
Citations per work
18.2
h-index
32
i10-index 121Top 4.3% in Computer Vision and Pattern Recognition
De Rosal Ignatius Moses Setiadi

What does De Rosal Ignatius Moses Setiadi research?

De Rosal Ignatius Moses Setiadi's work is mostly in Computer Science (73%), Engineering (4%), Agricultural and Biological Sciences (2%).

Physical Sciences: 196 works · 76.7% of their workComputer Science: 186 works · 72.6% of their workComputer Vision and Pattern Recognition: 93 works · 36.3% of their workArtificial Intelligence: 58 works · 22.6% of their workInformation Systems: 27 works · 10.4% of their workSignal Processing: 8 works · 3.3% of their workEngineering: 10 works · 4.1% of their workMedia Technology: 10 works · 4.1% of their workEverything else: 55 works · 21.3% of their workLife Sciences: 5 works · 2.0% of their workAgricultural and Biological Sciences: 5 works · 2.0% of their workPlant Science: 5 works · 2.0% of their workTHEIR WORKDe Rosal IgnatiusMoses Setiadi256works
Life Sciences2%Physical Sciences77%

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 Science18672.6%
    2. Engineering104.1%
  2. Everything else5521.3%
    1. Agricultural and Biological Sciences52.0%
  1. 1Computer Vision and Pattern Recognition36% of their works
  2. 2Artificial Intelligence23% of their works
  3. 3Information Systems10% of their works
  4. 4Media Technology4% of their works
  5. 5Signal Processing3% of their works
  6. 6Plant Science2% of their works

Research topics

Which keywords describe De Rosal Ignatius Moses Setiadi's research?

The keywords of their largest research topics: Deep Learning, Reversible Data Embedding, Steganography, Machine Learning, Chaos, Image Encryption, Artificial Neural Networks and Digital Image Processing.

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. Deep Learning1463 topics
  2. Reversible Data Embedding831 topic
  3. Steganography831 topic
  4. Machine Learning812 topics
  5. Chaos741 topic
  6. Image Encryption741 topic
  7. Artificial Neural Networks641 topic
  8. Digital Image Processing641 topic
  9. Artificial Intelligence462 topics
  10. Data Mining462 topics
  11. Digital Forensics401 topic
  12. Image Forgery Detection401 topic
  13. Classification Algorithms291 topic
  14. Neural Networks291 topic
  15. ALPR231 topic
  16. Automatic License Plate Recognition231 topic
  17. Decision Support System171 topic
  18. Expert Systems171 topic
  19. Learning141 topic
  20. Multimedia141 topic

Where does De Rosal Ignatius Moses Setiadi work?

De Rosal Ignatius Moses Setiadi's main affiliation in the publication record is Universitas Dian Nuswantoro, Indonesia.

How many publications and citations does De Rosal Ignatius Moses Setiadi have?

OpenAlex counts 256 works and 4,656 citations for De Rosal Ignatius Moses Setiadi, an h-index of 32, ranking #300,038 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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