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Researcher · Atos (United States) · United States

Rakesh Kumar Agrawal

Rakesh Kumar Agrawal publishes mostly in Artificial Intelligence, Electrical and Electronic Engineering and Management Information Systems, on topics such as Adversarial Robustness in Machine Learning, Explainable Artificial Intelligence (XAI) and Artificial Intelligence in Healthcare and Education.

ORCID 0009-0009-7113-5539 OpenAlex
World rank
#6,093,980
of 7,710,434 ranked researchers
Rank in United States
#1,474,657
of 1,627,098
Works
54
Citations
2
h-index
1
i10-index 0Top 99% in Artificial Intelligence
Rakesh Kumar Agrawal

What does Rakesh Kumar Agrawal research?

Rakesh Kumar Agrawal's work is mostly in Engineering (23%), Computer Science (18%), Business, Management and Accounting (8%).

Physical Sciences: 22 works · 40.9% of their workEngineering: 12 works · 22.7% of their workElectrical and Electronic Engineering: 9 works · 17.4% of their workControl and Systems Engineering: 3 works · 5.3% of their workComputer Science: 10 works · 18.2% of their workArtificial Intelligence: 10 works · 18.2% of their workEverything else: 21 works · 39.4% of their workSocial Sciences: 7 works · 13.6% of their workBusiness, Management and Accounting: 4 works · 8.3% of their workManagement Information Systems: 4 works · 8.3% of their workDecision Sciences: 3 works · 5.3% of their workManagement Science and Operations Research: 3 works · 5.3% of their workHealth Sciences: 3 works · 6.1% of their workMedicine: 3 works · 6.1% of their workHealth Informatics: 3 works · 6.1% of their workTHEIR WORKRakesh KumarAgrawal54works
Physical Sciences41%Health Sciences6%Social Sciences14%

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. Engineering1222.7%
    2. Computer Science1018.2%
  2. Everything else2139.4%
    1. Business, Management and Accounting48.3%
    2. Decision Sciences35.3%
    1. Medicine36.1%
  1. 1Artificial Intelligence18% of their works
  2. 2Electrical and Electronic Engineering17% of their works
  3. 3Management Information Systems8% of their works
  4. 4Health Informatics6% of their works
  5. 5Management Science and Operations Research5% of their works
  6. 6Control and Systems Engineering5% of their works

Research topics

Which keywords describe Rakesh Kumar Agrawal's research?

The keywords of their largest research topics: Machine Learning, Renewable Energy, Deep Learning, Security, Big Data, Cyber-Physical Systems, Smart Grid and Adversarial Examples.

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 23 words, with their numbers
  1. Machine Learning243 topics
  2. Renewable Energy173 topics
  3. Deep Learning162 topics
  4. Security162 topics
  5. Big Data142 topics
  6. Cyber-Physical Systems132 topics
  7. Smart Grid122 topics
  8. Adversarial Examples91 topic
  9. Robustness91 topic
  10. Artificial Intelligence81 topic
  11. Healthcare81 topic
  12. Interpretable Models81 topic
  13. Machine Learning Interpretability81 topic
  14. Communication Networks71 topic
  15. Electricity Price Forecasting71 topic
  16. False Data Injection Attacks71 topic
  17. Load Forecasting71 topic
  18. Digital Twin61 topic
  19. Smart Manufacturing61 topic
  20. Demand Response51 topic
  21. District Heating51 topic
  22. Energy Management51 topic
  23. Energy Systems51 topic

Where does Rakesh Kumar Agrawal work?

Rakesh Kumar Agrawal's main affiliation in the publication record is Atos (United States), United States.

How many publications and citations does Rakesh Kumar Agrawal have?

OpenAlex counts 54 works and 2 citations for Rakesh Kumar Agrawal, an h-index of 1, ranking #6,093,980 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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