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Researcher · Wright State University · United States

Meenakshi Nagarajan

Meenakshi Nagarajan publishes mostly in Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics, on topics such as Semantic Web and Ontologies, Advanced Text Analysis Techniques and Web Data Mining and Analysis.

OpenAlex
World rank
#756,685
of 7,710,434 ranked researchers
Rank in United States
#253,927
of 1,627,098
Works
47
Citations
1.8k
Citations per work
37.7
h-index
16
i10-index 22Top 20% in Artificial Intelligence
Meenakshi Nagarajan

What does Meenakshi Nagarajan research?

Meenakshi Nagarajan's work is mostly in Computer Science (46%), Physics and Astronomy (7%), Biochemistry, Genetics and Molecular Biology (6%).

Physical Sciences: 25 works · 53.3% of their workComputer Science: 22 works · 45.9% of their workArtificial Intelligence: 13 works · 28.7% of their workInformation Systems: 8 works · 17.2% of their workPhysics and Astronomy: 3 works · 7.4% of their workStatistical and Nonlinear Physics: 3 works · 7.4% of their workEverything else: 15 works · 32.0% of their workSocial Sciences: 4 works · 9.0% of their workDecision Sciences: 3 works · 5.7% of their workManagement Science and Operations Research: 3 works · 5.7% of their workBusiness, Management and Accounting: 2 works · 3.3% of their workManagement Information Systems: 2 works · 3.3% of their workLife Sciences: 3 works · 5.7% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 5.7% of their workMolecular Biology: 3 works · 5.7% of their workTHEIR WORKMeenakshiNagarajan47works
Life Sciences6%Physical Sciences53%Social Sciences9%

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 Science2245.9%
    2. Physics and Astronomy37.4%
  2. Everything else1532.0%
    1. Decision Sciences35.7%
    2. Business, Management and Accounting23.3%
    1. Biochemistry, Genetics and Molecular Biology35.7%
  1. 1Artificial Intelligence29% of their works
  2. 2Information Systems17% of their works
  3. 3Statistical and Nonlinear Physics7% of their works
  4. 4Management Science and Operations Research6% of their works
  5. 5Molecular Biology6% of their works
  6. 6Management Information Systems3% of their works

Research topics

Which keywords describe Meenakshi Nagarajan's research?

The keywords of their largest research topics: Data Integration, Semantic Web, Linked Data, Ontology, Information Retrieval, Neural Networks, Automatic and Extraction.

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 20 words, with their numbers
  1. Data Integration233 topics
  2. Semantic Web182 topics
  3. Linked Data141 topic
  4. Ontology141 topic
  5. Information Retrieval132 topics
  6. Neural Networks132 topics
  7. Automatic101 topic
  8. Extraction101 topic
  9. Web Crawling101 topic
  10. Web Data Extraction101 topic
  11. Community Structure81 topic
  12. Network Dynamics81 topic
  13. QoS-Aware Middleware81 topic
  14. Semantic Web Services81 topic
  15. Data Cleaning51 topic
  16. Record Linkage51 topic
  17. Biomedical Ontologies41 topic
  18. Text Mining41 topic
  19. Machine Translation31 topic
  20. Word Representation31 topic

Where does Meenakshi Nagarajan work?

Meenakshi Nagarajan's main affiliation in the publication record is Wright State University, United States.

How many publications and citations does Meenakshi Nagarajan have?

OpenAlex counts 47 works and 1,771 citations for Meenakshi Nagarajan, an h-index of 16, ranking #756,685 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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