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Researcher · Analytical Services · United States

Naga Ramesh Palakurti

Naga Ramesh Palakurti publishes mostly in Artificial Intelligence, Information Systems and Management Science and Operations Research, on topics such as Imbalanced Data Classification Techniques, Financial Distress and Bankruptcy Prediction and Anomaly Detection Techniques and Applications.

ORCID 0009-0009-9500-1869 OpenAlex
World rank
#3,354,051
of 7,710,434 ranked researchers
Rank in United States
#945,414
of 1,627,098
Works
32
Citations
321
Citations per work
10.0
h-index
5
i10-index 4Top 82% in Artificial Intelligence
Naga Ramesh Palakurti

What does Naga Ramesh Palakurti research?

Naga Ramesh Palakurti's work is mostly in Computer Science (42%), Business, Management and Accounting (19%), Decision Sciences (9%).

Physical Sciences: 13 works · 41.9% of their workComputer Science: 13 works · 41.9% of their workArtificial Intelligence: 8 works · 25.6% of their workInformation Systems: 4 works · 12.8% of their workSignal Processing: 1 works · 3.5% of their workEverything else: 10 works · 30.2% of their workSocial Sciences: 9 works · 27.9% of their workBusiness, Management and Accounting: 6 works · 18.6% of their workAccounting: 3 works · 9.3% of their workManagement Information Systems: 3 works · 9.3% of their workDecision Sciences: 3 works · 9.3% of their workManagement Science and Operations Research: 3 works · 9.3% of their workTHEIR WORKNaga RameshPalakurti32works
Physical Sciences42%Social Sciences28%

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 Science1341.9%
  2. Everything else1030.2%
    1. Business, Management and Accounting618.6%
    2. Decision Sciences39.3%
  1. 1Artificial Intelligence26% of their works
  2. 2Information Systems13% of their works
  3. 3Management Science and Operations Research9% of their works
  4. 4Accounting9% of their works
  5. 5Management Information Systems9% of their works
  6. 6Signal Processing4% of their works

Research topics

Which keywords describe Naga Ramesh Palakurti's research?

The keywords of their largest research topics: Machine Learning, Neural Networks, Deep Learning, Classification, Imbalanced Data, Bankruptcy Prediction, Credit Scoring and Anomaly Detection.

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 22 words, with their numbers
  1. Machine Learning133 topics
  2. Neural Networks102 topics
  3. Deep Learning93 topics
  4. Classification81 topic
  5. Imbalanced Data81 topic
  6. Bankruptcy Prediction71 topic
  7. Credit Scoring71 topic
  8. Anomaly Detection62 topics
  9. IoT Security62 topics
  10. Supply Chain Management62 topics
  11. Analytics31 topic
  12. Android Malware31 topic
  13. Artificial Intelligence31 topic
  14. Big Data31 topic
  15. Blockchain31 topic
  16. Detection31 topic
  17. Internet of Things31 topic
  18. Intrusion Detection31 topic
  19. Network Security31 topic
  20. Outlier Detection31 topic
  21. Service Robots31 topic
  22. Unsupervised31 topic

Where does Naga Ramesh Palakurti work?

Naga Ramesh Palakurti's main affiliation in the publication record is Analytical Services, United States.

How many publications and citations does Naga Ramesh Palakurti have?

OpenAlex counts 32 works and 321 citations for Naga Ramesh Palakurti, an h-index of 5, ranking #3,354,051 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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