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Researcher · University of Malta · Malta

Lalit Kishore Garg

Lalit Kishore Garg publishes mostly in Information Systems, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as IoT and Edge/Fog Computing, Healthcare Operations and Scheduling Optimization and EEG and Brain-Computer Interfaces.

ORCID 0000-0002-3868-0481 OpenAlex
World rank
#672,922
of 7,710,434 ranked researchers
Rank in Malta
#47
of 946
Works
243
Citations
3.1k
Citations per work
12.8
h-index
30
i10-index 70Top 1.5% in Information Systems
Lalit Kishore Garg

What does Lalit Kishore Garg research?

Lalit Kishore Garg's work is mostly in Computer Science (27%), Engineering (6%), Neuroscience (4%).

Everything else: 154 works · 63.3% of their workPhysical Sciences: 80 works · 33.1% of their workComputer Science: 65 works · 26.9% of their workInformation Systems: 21 works · 8.6% of their workArtificial Intelligence: 15 works · 6.3% of their workComputer Networks and Communications: 15 works · 6.0% of their workComputer Vision and Pattern Recognition: 15 works · 6.0% of their workEngineering: 15 works · 6.2% of their workElectrical and Electronic Engineering: 15 works · 6.2% of their workLife Sciences: 9 works · 3.6% of their workNeuroscience: 9 works · 3.6% of their workCognitive Neuroscience: 9 works · 3.6% of their workTHEIR WORKLalit KishoreGarg243works
Life Sciences4%Physical Sciences33%

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 else15463.3%
    1. Computer Science6526.9%
    2. Engineering156.2%
    1. Neuroscience93.6%
  1. 1Information Systems9% of their works
  2. 2Artificial Intelligence6% of their works
  3. 3Electrical and Electronic Engineering6% of their works
  4. 4Computer Vision and Pattern Recognition6% of their works
  5. 5Computer Networks and Communications6% of their works
  6. 6Cognitive Neuroscience4% of their works

Research topics

Which keywords describe Lalit Kishore Garg's research?

The keywords of their largest research topics: Healthcare, Internet of Things, Deep Learning, Edge Computing, Fog Computing, Operating Room, Scheduling and Brain-Computer Interfaces.

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 19 words, with their numbers
  1. Healthcare584 topics
  2. Internet of Things302 topics
  3. Deep Learning292 topics
  4. Edge Computing201 topic
  5. Fog Computing201 topic
  6. Operating Room191 topic
  7. Scheduling191 topic
  8. Brain-Computer Interfaces171 topic
  9. EEG Analysis171 topic
  10. Corporate Social Responsibility111 topic
  11. Financial Performance111 topic
  12. Mobile Health111 topic
  13. mHealth111 topic
  14. Blockchain101 topic
  15. Smart Contracts101 topic
  16. Electronic Health Records91 topic
  17. Predictive Modeling91 topic
  18. Big Data81 topic
  19. Cloud Computing81 topic

Where does Lalit Kishore Garg work?

Lalit Kishore Garg's main affiliation in the publication record is University of Malta, Malta.

How many publications and citations does Lalit Kishore Garg have?

OpenAlex counts 243 works and 3,118 citations for Lalit Kishore Garg, an h-index of 30, ranking #672,922 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.

Discussion

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