Science Explorer Back to mapMap
Discussion
Researcher · SRKR Engineering College · ??

G. N. V. G. Sirisha

G. N. V. G. Sirisha publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Anomaly Detection Techniques and Applications, Human Pose and Action Recognition and Data Mining Algorithms and Applications.

ORCID 0009-0005-1785-0161 OpenAlex
World rank
#5,103,381
of 7,710,434 ranked researchers
Rank in ??
#10,976
of 21,892
Works
29
Citations
45
Citations per work
1.6
h-index
4
i10-index 1Top 90% in Artificial Intelligence
G. N. V. G. Sirisha

What does G. N. V. G. Sirisha research?

G. N. V. G. Sirisha's work is mostly in Computer Science (57%), Agricultural and Biological Sciences (7%).

Physical Sciences: 17 works · 57.3% of their workComputer Science: 17 works · 57.3% of their workArtificial Intelligence: 6 works · 21.3% of their workComputer Vision and Pattern Recognition: 5 works · 18.0% of their workInformation Systems: 3 works · 9.8% of their workComputational Theory and Mathematics: 1 works · 4.9% of their workSoftware: 1 works · 3.3% of their workEverything else: 10 works · 36.1% of their workLife Sciences: 2 works · 6.6% of their workAgricultural and Biological Sciences: 2 works · 6.6% of their workPlant Science: 2 works · 6.6% of their workTHEIR WORKG. N. V. G.Sirisha29works
Life Sciences7%Physical Sciences57%

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 Science1757.3%
  2. Everything else1036.1%
    1. Agricultural and Biological Sciences26.6%
  1. 1Artificial Intelligence21% of their works
  2. 2Computer Vision and Pattern Recognition18% of their works
  3. 3Information Systems10% of their works
  4. 4Plant Science7% of their works
  5. 5Computational Theory and Mathematics5% of their works
  6. 6Software3% of their works

Research topics

Which keywords describe G. N. V. G. Sirisha's research?

The keywords of their largest research topics: Deep Learning, Anomaly Detection, Unsupervised, Machine Learning, Action Recognition, Data Mining, Frequent Patterns and Pose Estimation.

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 18 words, with their numbers
  1. Deep Learning144 topics
  2. Anomaly Detection61 topic
  3. Unsupervised61 topic
  4. Machine Learning52 topics
  5. Action Recognition41 topic
  6. Data Mining41 topic
  7. Frequent Patterns41 topic
  8. Pose Estimation41 topic
  9. Activity Recognition31 topic
  10. Granular Computing31 topic
  11. Pervasive Computing31 topic
  12. Rough Sets31 topic
  13. Genome Evolution11 topic
  14. Grafting11 topic
  15. Plant Disease Detection11 topic
  16. Polyploidy11 topic
  17. Smart Farming11 topic
  18. Soilborne Pathogens11 topic

Where does G. N. V. G. Sirisha work?

G. N. V. G. Sirisha's main affiliation in the publication record is SRKR Engineering College, ??.

How many publications and citations does G. N. V. G. Sirisha have?

OpenAlex counts 29 works and 45 citations for G. N. V. G. Sirisha, an h-index of 4, ranking #5,103,381 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

Ask a question or share a note about G. N. V. G. Sirisha. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.