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Researcher · Princeton University · United States

Niraj Kumar Jha

Niraj Kumar Jha publishes mostly in Electrical and Electronic Engineering, Hardware and Architecture and Artificial Intelligence, on topics such as Embedded Systems Design Techniques, Parallel Computing and Optimization Techniques and VLSI and Analog Circuit Testing.

ORCID 0000-0002-1539-0369 OpenAlex
World rank
#135,709
of 7,710,434 ranked researchers
Rank in United States
#51,441
of 1,627,098
Works
685
Citations
24k
Citations per work
35.1
h-index
72
i10-index 378Top 0.4% in Electrical and Electronic Engineering
Niraj Kumar Jha

What does Niraj Kumar Jha research?

Niraj Kumar Jha's work is mostly in Computer Science (52%), Engineering (31%).

Physical Sciences: 567 works · 82.8% of their workComputer Science: 353 works · 51.6% of their workHardware and Architecture: 179 works · 26.2% of their workArtificial Intelligence: 66 works · 9.7% of their workComputer Networks and Communications: 61 works · 8.9% of their workComputer Vision and Pattern Recognition: 25 works · 3.6% of their workComputational Theory and Mathematics: 22 works · 3.2% of their workEngineering: 214 works · 31.2% of their workElectrical and Electronic Engineering: 214 works · 31.2% of their workEverything else: 118 works · 17.2% of their workTHEIR WORKNiraj Kumar Jha685works
Physical Sciences83%

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 Science35351.6%
    2. Engineering21431.2%
  2. Everything else11817.2%
  1. 1Electrical and Electronic Engineering31% of their works
  2. 2Hardware and Architecture26% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4Computer Networks and Communications9% of their works
  5. 5Computer Vision and Pattern Recognition4% of their works
  6. 6Computational Theory and Mathematics3% of their works

Research topics

Which keywords describe Niraj Kumar Jha's research?

The keywords of their largest research topics: CMOS Technology, Process Variation, Fault Tolerance, High-Level Synthesis, Reconfigurable Computing, Nanoelectronics, Parallel Computing and Performance Optimization.

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. CMOS Technology2202 topics
  2. Process Variation2132 topics
  3. Fault Tolerance1712 topics
  4. High-Level Synthesis1651 topic
  5. Reconfigurable Computing1651 topic
  6. Nanoelectronics1592 topics
  7. Parallel Computing1571 topic
  8. Performance Optimization1571 topic
  9. Embedded Cores1371 topic
  10. Test Data Compression1371 topic
  11. Low-Power1341 topic
  12. VLSI Circuits1341 topic
  13. Radiation Effects861 topic
  14. Soft Errors861 topic
  15. Interconnection Networks851 topic
  16. Networks on Chip851 topic
  17. Nanowire Transistors791 topic
  18. Tunnel Field-Effect Transistors791 topic
  19. Atomic Layer Deposition731 topic
  20. High-k Dielectrics731 topic

Where does Niraj Kumar Jha work?

Niraj Kumar Jha's main affiliation in the publication record is Princeton University, United States.

How many publications and citations does Niraj Kumar Jha have?

OpenAlex counts 685 works and 24,033 citations for Niraj Kumar Jha, an h-index of 72, ranking #135,709 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.

Other researchers named Niraj Kumar Jha

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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