Science Explorer Back to mapMap
Discussion
Researcher · AISECT University · India

Laxmi Singh

Laxmi Singh publishes mostly in Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, on topics such as Advanced Memory and Neural Computing, Advancements in Semiconductor Devices and Circuit Design and Neural Networks and Applications.

OpenAlex
World rank
#6,338,874
of 7,710,434 ranked researchers
Rank in India
#204,290
of 280,097
Works
33
Citations
23
Citations per work
0.7
h-index
2
i10-index 0Top 99.1% in Electrical and Electronic Engineering
Laxmi Singh

What does Laxmi Singh research?

Laxmi Singh's work is mostly in Engineering (44%), Computer Science (38%).

Physical Sciences: 27 works · 82.5% of their workEngineering: 15 works · 44.0% of their workElectrical and Electronic Engineering: 13 works · 39.6% of their workAerospace Engineering: 1 works · 4.4% of their workComputer Science: 13 works · 38.5% of their workComputer Networks and Communications: 4 works · 13.2% of their workComputer Vision and Pattern Recognition: 4 works · 13.2% of their workArtificial Intelligence: 3 works · 7.7% of their workHardware and Architecture: 1 works · 4.4% of their workEverything else: 6 works · 17.5% of their workTHEIR WORKLaxmi Singh33works
Physical Sciences82%

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. Engineering1544.0%
    2. Computer Science1338.5%
  2. Everything else617.5%
  1. 1Electrical and Electronic Engineering40% of their works
  2. 2Computer Networks and Communications13% of their works
  3. 3Computer Vision and Pattern Recognition13% of their works
  4. 4Artificial Intelligence8% of their works
  5. 5Aerospace Engineering4% of their works
  6. 6Hardware and Architecture4% of their works

Research topics

Which keywords describe Laxmi Singh's research?

The keywords of their largest research topics: Neural Networks, Data Aggregation, Memristor, Neuromorphic Computing, Nanowire Transistors, Tunnel Field-Effect Transistors, Backpropagation Learning and Self-Organizing Maps.

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 18 words, with their numbers
  1. Neural Networks102 topics
  2. Data Aggregation62 topics
  3. Memristor61 topic
  4. Neuromorphic Computing61 topic
  5. Nanowire Transistors51 topic
  6. Tunnel Field-Effect Transistors51 topic
  7. Backpropagation Learning41 topic
  8. Self-Organizing Maps41 topic
  9. Ad Hoc Networks31 topic
  10. Antenna31 topic
  11. Digital Image Stabilization31 topic
  12. Energy-Efficient Protocols31 topic
  13. Key Management31 topic
  14. Microstrip31 topic
  15. Secure Routing31 topic
  16. Video Stabilization31 topic
  17. Wireless Mesh Networks31 topic
  18. Wireless Sensor Networks31 topic

Where does Laxmi Singh work?

Laxmi Singh's main affiliation in the publication record is AISECT University, India.

How many publications and citations does Laxmi Singh have?

OpenAlex counts 33 works and 23 citations for Laxmi Singh, an h-index of 2, ranking #6,338,874 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 Laxmi Singh

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.

Discussion

Ask a question or share a note about Laxmi Singh. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.