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Researcher · Cognizant (United States) · United States

Thirusubramanian Ganesan

Thirusubramanian Ganesan publishes mostly in Information Systems, Computer Networks and Communications and Artificial Intelligence, on topics such as Network Security and Intrusion Detection, IoT and Edge/Fog Computing and Imbalanced Data Classification Techniques.

ORCID 0009-0008-6125-8466 OpenAlex
World rank
#2,420,081
of 7,710,434 ranked researchers
Rank in United States
#716,938
of 1,627,098
Works
34
Citations
105
Citations per work
3.1
h-index
6
i10-index 3Top 46% in Information Systems
Thirusubramanian Ganesan

What does Thirusubramanian Ganesan research?

Thirusubramanian Ganesan's work is mostly in Computer Science (54%), Engineering (7%), Business, Management and Accounting (5%).

Physical Sciences: 21 works · 60.7% of their workComputer Science: 18 works · 53.6% of their workInformation Systems: 6 works · 19.0% of their workComputer Networks and Communications: 6 works · 17.9% of their workArtificial Intelligence: 6 works · 16.7% of their workEngineering: 2 works · 7.1% of their workIndustrial and Manufacturing Engineering: 2 works · 7.1% of their workEverything else: 11 works · 30.9% of their workSocial Sciences: 2 works · 4.8% of their workBusiness, Management and Accounting: 2 works · 4.8% of their workManagement Information Systems: 2 works · 4.8% of their workLife Sciences: 1 works · 3.6% of their workNeuroscience: 1 works · 3.6% of their workNeurology: 1 works · 3.6% of their workTHEIR WORKThirusubramanianGanesan34works
Life Sciences4%Physical Sciences61%Social Sciences5%

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 Science1853.6%
    2. Engineering27.1%
  2. Everything else1130.9%
    1. Business, Management and Accounting24.8%
    1. Neuroscience13.6%
  1. 1Information Systems19% of their works
  2. 2Computer Networks and Communications18% of their works
  3. 3Artificial Intelligence17% of their works
  4. 4Industrial and Manufacturing Engineering7% of their works
  5. 5Management Information Systems5% of their works
  6. 6Neurology4% of their works

Research topics

Which keywords describe Thirusubramanian Ganesan's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, IoT Security, Data Mining, Healthcare, Internet of Things, Classification and Cloud Computing.

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 25 words, with their numbers
  1. Deep Learning153 topics
  2. Machine Learning133 topics
  3. IoT Security122 topics
  4. Data Mining102 topics
  5. Healthcare82 topics
  6. Internet of Things82 topics
  7. Classification72 topics
  8. Cloud Computing72 topics
  9. Intrusion Detection71 topic
  10. Network Security71 topic
  11. Security72 topics
  12. Edge Computing51 topic
  13. Fog Computing51 topic
  14. Auditing41 topic
  15. Data Storage41 topic
  16. Imbalanced Data41 topic
  17. SMOTE41 topic
  18. Big Data31 topic
  19. Blockchain31 topic
  20. Brain Tumor31 topic
  21. Differential Privacy31 topic
  22. Federated Learning31 topic
  23. MRI31 topic
  24. MapReduce31 topic
  25. Smart Contracts31 topic

Where does Thirusubramanian Ganesan work?

Thirusubramanian Ganesan's main affiliation in the publication record is Cognizant (United States), United States.

How many publications and citations does Thirusubramanian Ganesan have?

OpenAlex counts 34 works and 105 citations for Thirusubramanian Ganesan, an h-index of 6, ranking #2,420,081 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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