Shashikant Sharma
Shashikant Sharma publishes mostly in Molecular Biology, Biomedical Engineering and Computational Theory and Mathematics, on topics such as Bacterial biofilms and quorum sensing, Computability, Logic, AI Algorithms and Biomedical and Engineering Education.
- World rank
- #686,964 of 1,633,909 ranked researchers
- Rank in India
- #9,796 of 44,512
- Works
- 18
- Citations
- 2
- Citations per work
- 0.1
What does Shashikant Sharma research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Molecular Biology20% of their works
- 2Biomedical Engineering20% of their works
- 3Computational Theory and Mathematics20% of their works
- 4Public Health, Environmental and Occupational Health20% of their works
- 5Physiology20% of their works
Research topics
Which keywords describe Shashikant Sharma's research?
The keywords of their largest research topics: Algorithmic Information Theory, Bacteria, Biofilms, Biomedical Engineering, Computability, COVID-19, Hackathons and medical waste.
- medical waste
- Preanalytical Variables
- Computability
- Biomedical Engineering
- Bacteria
- Algorithmic Information Theory
- Biofilms
- COVID-19
- Hackathons
- Reference Intervals
Size is their works in the topics tagged with each word, from their 5 largest topics. Each links to the topic it comes from most.
All 10 words, with their numbers
- Algorithmic Information Theory11 topic
- Bacteria11 topic
- Biofilms11 topic
- Biomedical Engineering11 topic
- COVID-1911 topic
- Computability11 topic
- Hackathons11 topic
- Preanalytical Variables11 topic
- Reference Intervals11 topic
- medical waste11 topic
Where does Shashikant Sharma work?
Shashikant Sharma's main affiliation in the publication record is Maharaja Sayajirao University of Baroda, India.
How many publications and citations does Shashikant Sharma have?
Science Explorer counts 18 works and 2 citations for Shashikant Sharma, ranking #686,964 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised 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 are in the interactive view on the map. Is this your page? Request a correction or removal.