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Researcher · Capella University · United States

Janmejaya Mishra

Janmejaya Mishra publishes mostly in Computer Networks and Communications, Artificial Intelligence and Management Science and Operations Research, on topics such as Network Security and Intrusion Detection, Anomaly Detection Techniques and Applications and Imbalanced Data Classification Techniques.

ORCID 0009-0003-9097-5505 OpenAlex
World rank
#2,251,522
of 7,710,434 ranked researchers
Rank in United States
#673,557
of 1,627,098
Works
26
Citations
173
Citations per work
6.7
h-index
6
i10-index 4Top 77% in Computer Networks and Communications
Janmejaya Mishra

What does Janmejaya Mishra research?

Janmejaya Mishra's work is mostly in Computer Science (40%), Decision Sciences (7%), Health Professions (5%).

Everything else: 11 works · 42.0% of their workPhysical Sciences: 11 works · 40.4% of their workComputer Science: 11 works · 40.4% of their workComputer Networks and Communications: 5 works · 19.3% of their workArtificial Intelligence: 4 works · 15.8% of their workComputer Vision and Pattern Recognition: 1 works · 5.3% of their workHealth Sciences: 3 works · 10.6% of their workHealth Professions: 1 works · 5.3% of their workHealth Information Management: 1 works · 5.3% of their workMedicine: 1 works · 5.3% of their workEpidemiology: 1 works · 5.3% of their workSocial Sciences: 2 works · 7.0% of their workDecision Sciences: 2 works · 7.0% of their workManagement Science and Operations Research: 2 works · 7.0% of their workTHEIR WORKJanmejaya Mishra26works
Physical Sciences40%Health Sciences11%Social Sciences7%

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. Everything else1142.0%
    1. Computer Science1140.4%
    1. Health Professions15.3%
    2. Medicine15.3%
    1. Decision Sciences27.0%
  1. 1Computer Networks and Communications19% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Management Science and Operations Research7% of their works
  4. 4Health Information Management5% of their works
  5. 5Computer Vision and Pattern Recognition5% of their works
  6. 6Epidemiology5% of their works

Research topics

Which keywords describe Janmejaya Mishra's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Anomaly Detection, Data Mining, IoT Security, Classification, Feature Selection and Healthcare.

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 24 words, with their numbers
  1. Deep Learning114 topics
  2. Machine Learning114 topics
  3. Anomaly Detection72 topics
  4. Data Mining72 topics
  5. IoT Security62 topics
  6. Classification52 topics
  7. Feature Selection52 topics
  8. Healthcare52 topics
  9. Intrusion Detection41 topic
  10. Network Security41 topic
  11. Big Data Analytics31 topic
  12. Imbalanced Data31 topic
  13. Medical Diagnosis31 topic
  14. Outlier Detection31 topic
  15. SMOTE31 topic
  16. Unsupervised31 topic
  17. Brain Tumor21 topic
  18. Edge Computing21 topic
  19. Gene Expression21 topic
  20. Internet of Things21 topic
  21. MRI21 topic
  22. Microarray21 topic
  23. Molecular Communication21 topic
  24. Nanonetworks21 topic

Where does Janmejaya Mishra work?

Janmejaya Mishra's main affiliation in the publication record is Capella University, United States.

How many publications and citations does Janmejaya Mishra have?

OpenAlex counts 26 works and 173 citations for Janmejaya Mishra, an h-index of 6, ranking #2,251,522 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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