Science Explorer Back to mapMap
Discussion
Researcher · Rashtriya Sanskrit Vidyapeetha · India

G. Sreedhar

G. Sreedhar publishes mostly in Information Systems, Artificial Intelligence and Information Systems and Management, on topics such as Web Data Mining and Analysis, Web Applications and Data Management and Technology Adoption and User Behaviour.

OpenAlex
World rank
#5,631,355
of 7,710,434 ranked researchers
Rank in India
#167,311
of 280,097
Works
26
Citations
34
Citations per work
1.3
h-index
3
i10-index 1Top 83% in Information Systems
G. Sreedhar

What does G. Sreedhar research?

G. Sreedhar's work is mostly in Computer Science (70%), Decision Sciences (8%), Social Sciences (5%).

Physical Sciences: 18 works · 70.4% of their workComputer Science: 18 works · 70.4% of their workInformation Systems: 13 works · 51.6% of their workArtificial Intelligence: 2 works · 7.8% of their workHuman-Computer Interaction: 2 works · 6.3% of their workComputer Networks and Communications: 1 works · 4.7% of their workEverything else: 4 works · 17.1% of their workSocial Sciences: 3 works · 12.5% of their workDecision Sciences: 2 works · 7.8% of their workInformation Systems and Management: 2 works · 7.8% of their workSocial Sciences: 1 works · 4.7% of their workSociology and Political Science: 1 works · 4.7% of their workTHEIR WORKG. Sreedhar26works
Physical Sciences70%Social Sciences12%

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 Science1870.4%
  2. Everything else417.1%
    1. Decision Sciences27.8%
    2. Social Sciences14.7%
  1. 1Information Systems52% of their works
  2. 2Artificial Intelligence8% of their works
  3. 3Information Systems and Management8% of their works
  4. 4Human-Computer Interaction6% of their works
  5. 5Computer Networks and Communications5% of their works
  6. 6Sociology and Political Science5% of their works

Research topics

Which keywords describe G. Sreedhar's research?

The keywords of their largest research topics: Information Retrieval, Web Crawling, Web Data Extraction, Model-Driven Development, Rich Internet Applications, Information Systems, Technology Acceptance Model and Human-Computer Interaction.

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 17 words, with their numbers
  1. Information Retrieval152 topics
  2. Web Crawling121 topic
  3. Web Data Extraction121 topic
  4. Model-Driven Development81 topic
  5. Rich Internet Applications81 topic
  6. Information Systems51 topic
  7. Technology Acceptance Model51 topic
  8. Human-Computer Interaction41 topic
  9. Usability41 topic
  10. Analytics31 topic
  11. Big Data31 topic
  12. Hyperlink Analysis31 topic
  13. Interactive Television31 topic
  14. Social TV31 topic
  15. Webometrics31 topic
  16. Block Ciphers21 topic
  17. Cryptanalysis21 topic

Where does G. Sreedhar work?

G. Sreedhar's main affiliation in the publication record is Rashtriya Sanskrit Vidyapeetha, India.

How many publications and citations does G. Sreedhar have?

OpenAlex counts 26 works and 34 citations for G. Sreedhar, an h-index of 3, ranking #5,631,355 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

Ask a question or share a note about G. Sreedhar. 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.