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Researcher · University of Nusa Cendana · Indonesia

Silvester Tena

Silvester Tena publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Computer Science and Engineering, Edcuational Technology Systems and Data Mining and Machine Learning Applications.

ORCID 0000-0001-6774-7940 OpenAlex
World rank
#6,007,666
of 7,710,434 ranked researchers
Rank in Indonesia
#68,931
of 148,020
Works
29
Citations
112
Citations per work
3.9
h-index
5
i10-index 3Top 82% in Artificial Intelligence
Silvester Tena

What does Silvester Tena research?

Silvester Tena's work is mostly in Computer Science (66%), Engineering (10%), Business, Management and Accounting (4%).

Physical Sciences: 22 works · 76.7% of their workComputer Science: 19 works · 66.3% of their workArtificial Intelligence: 8 works · 26.0% of their workComputer Vision and Pattern Recognition: 6 works · 22.1% of their workInformation Systems: 5 works · 18.2% of their workEngineering: 3 works · 10.4% of their workIndustrial and Manufacturing Engineering: 2 works · 6.5% of their workElectrical and Electronic Engineering: 1 works · 3.9% of their workEverything else: 6 works · 19.4% of their workSocial Sciences: 1 works · 3.9% of their workBusiness, Management and Accounting: 1 works · 3.9% of their workManagement Information Systems: 1 works · 3.9% of their workTHEIR WORKSilvester Tena29works
Physical Sciences77%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 Science1966.3%
    2. Engineering310.4%
  2. Everything else619.4%
    1. Business, Management and Accounting13.9%
  1. 1Artificial Intelligence26% of their works
  2. 2Computer Vision and Pattern Recognition22% of their works
  3. 3Information Systems18% of their works
  4. 4Industrial and Manufacturing Engineering6% of their works
  5. 5Management Information Systems4% of their works
  6. 6Electrical and Electronic Engineering4% of their works

Research topics

Which keywords describe Silvester Tena's research?

The keywords of their largest research topics: Machine Learning, Artificial Intelligence, Data Mining, Artificial Neural Networks, Decision Support System, Digital Image Processing, Fuzzy Logic and Expert Systems.

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 22 words, with their numbers
  1. Machine Learning274 topics
  2. Artificial Intelligence183 topics
  3. Data Mining152 topics
  4. Artificial Neural Networks111 topic
  5. Decision Support System112 topics
  6. Digital Image Processing111 topic
  7. Fuzzy Logic112 topics
  8. Expert Systems81 topic
  9. Knowledge Management81 topic
  10. Classification Algorithms71 topic
  11. Deep Learning72 topics
  12. Neural Networks71 topic
  13. Content-Based Image Retrieval61 topic
  14. Shape Matching61 topic
  15. Fabric Defect Detection51 topic
  16. Machine Vision51 topic
  17. Blockchain41 topic
  18. Education41 topic
  19. Information Technology31 topic
  20. Systems Analysis and Design31 topic
  21. Plant Disease Detection21 topic
  22. Smart Farming21 topic

Where does Silvester Tena work?

Silvester Tena's main affiliation in the publication record is University of Nusa Cendana, Indonesia.

How many publications and citations does Silvester Tena have?

OpenAlex counts 29 works and 112 citations for Silvester Tena, an h-index of 5, ranking #6,007,666 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.

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