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Researcher · State Duma · Russia

Pulla Pandika Widodo

Pulla Pandika Widodo publishes mostly in Information Systems, Artificial Intelligence and Management Information Systems, on topics such as Edcuational Technology Systems, Decision Support System Applications and Blockchain Technology in Education and Learning.

OpenAlex
World rank
#6,378,937
of 7,710,434 ranked researchers
Rank in Russia
#76,599
of 179,717
Works
18
Citations
28
Citations per work
1.6
h-index
3
i10-index 1Top 83% in Information Systems
Pulla Pandika Widodo

What does Pulla Pandika Widodo research?

Pulla Pandika Widodo's work is mostly in Computer Science (63%), Business, Management and Accounting (16%), Health Professions (4%).

Physical Sciences: 11 works · 63.3% of their workComputer Science: 11 works · 63.3% of their workInformation Systems: 8 works · 42.9% of their workArtificial Intelligence: 4 works · 20.4% of their workSocial Sciences: 4 works · 20.4% of their workBusiness, Management and Accounting: 3 works · 16.3% of their workManagement Information Systems: 3 works · 16.3% of their workSocial Sciences: 1 works · 4.1% of their workSociology and Political Science: 1 works · 4.1% of their workEverything else: 2 works · 10.2% of their workHealth Sciences: 1 works · 4.1% of their workHealth Professions: 1 works · 4.1% of their workGeneral Health Professions: 1 works · 4.1% of their workLife Sciences: 0 works · 2.0% of their workAgricultural and Biological Sciences: 0 works · 2.0% of their workGeneral Agricultural and Biological Sciences: 0 works · 2.0% of their workTHEIR WORKPulla PandikaWidodo18works
Life Sciences2%Physical Sciences63%Health Sciences4%Social Sciences20%

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 Science1163.3%
    1. Business, Management and Accounting316.3%
    2. Social Sciences14.1%
  3. Everything else210.2%
    1. Health Professions14.1%
    1. Agricultural and Biological Sciences02.0%
  1. 1Information Systems43% of their works
  2. 2Artificial Intelligence20% of their works
  3. 3Management Information Systems16% of their works
  4. 4Sociology and Political Science4% of their works
  5. 5General Health Professions4% of their works
  6. 6General Agricultural and Biological Sciences2% of their works

Research topics

Which keywords describe Pulla Pandika Widodo's research?

The keywords of their largest research topics: Artificial Intelligence, Decision Support System, Fuzzy Logic, Data Mining, E-Learning, Education, Machine Learning 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 23 words, with their numbers
  1. Artificial Intelligence203 topics
  2. Decision Support System182 topics
  3. Fuzzy Logic182 topics
  4. Data Mining153 topics
  5. E-Learning142 topics
  6. Education142 topics
  7. Machine Learning132 topics
  8. Expert Systems101 topic
  9. Knowledge Management101 topic
  10. Information Technology81 topic
  11. Systems Analysis and Design81 topic
  12. Blockchain71 topic
  13. Learning71 topic
  14. Multimedia71 topic
  15. Technology71 topic
  16. Information Retrieval31 topic
  17. Social Network Extraction31 topic
  18. Classification Algorithms21 topic
  19. Healthcare Access21 topic
  20. Neural Networks21 topic
  21. Quality of Service21 topic
  22. Agriculture11 topic
  23. Economic Development11 topic

Where does Pulla Pandika Widodo work?

Pulla Pandika Widodo's main affiliation in the publication record is State Duma, Russia.

How many publications and citations does Pulla Pandika Widodo have?

OpenAlex counts 18 works and 28 citations for Pulla Pandika Widodo, an h-index of 3, ranking #6,378,937 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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