A. Shanthini

30 papers receiving 489 citations

Peers

A. Shanthini
Comparison fields: 5 of 89
  • Health Information Management 41
  • Information Systems 169
  • Computer Science Applications 41
  • Computer Networks and Communications 163
  • Health Informatics 9
Replace Muzammil Khan with:
Muzammil Khan Pakistan
Mostafijur Rahman Bangladesh
Anitha S. Pillai India
Ashima Kukkar India
Shams Tabrez Siddiqui Saudi Arabia
Moses Kazeem Abiodun Nigeria
Danilo F. S. Santos Brazil
Sumit Sharma India
Manu R. Sood India
Abdul Hadi M. Alaidi Iraq
A. Shanthini relative to Muzammil Khan Pakistan Muzammil Khan's profile →
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Citations per year

Countries citing papers authored by A. Shanthini

Since Specialization
Citations

This map shows the geographic impact of A. Shanthini's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by A. Shanthini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Shanthini more than expected).

Fields of papers citing papers by A. Shanthini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Shanthini. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by A. Shanthini. The network helps show where A. Shanthini may publish in the future.

Co-authors

The 25 scholars most cited alongside A. Shanthini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Shanthini Line = papers co-authored together A. Shanthini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020162
2 2020122
3 201825
4 201824
5 201921
6 201420
7 202219
8 202314
9 202113
10 201713
11 201712
12 202111
13 20217
14 20237
15 20207
16 20245
17 20215
18 20205
19 20214
20 20132

About A. Shanthini

A. Shanthini is a scholar working on Neurology, Computer Science Applications, Information Systems, Software and Health Information Management, having authored 35 papers that have together received 514 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (4 papers), Online Learning and Analytics (4 papers), Smart Agriculture and AI (4 papers), Retinal Imaging and Analysis (3 papers), Artificial Intelligence in Healthcare (3 papers), Software Engineering Research (3 papers), Software Reliability and Analysis Research (3 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Health Information Management (41 citations), Information Systems (169 citations), Computer Science Applications (41 citations), Computer Networks and Communications (163 citations) and Health Informatics (9 citations). A. Shanthini has collaborated with scholars based in India, China and United States. Frequent co-authors include Seifedine Kadry, Gunasekaran Manogaran, Revathi Sundarasekar, Suyel Namasudra, Revathi Sundarasekar, C. B. Sivaparthipan, BalaAnand Muthu, R. Chandrasekaran, G. Arul Freeda Vinodhini and G. N. Vivekananda. Their work appears in journals such as International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, Journal of Intelligent & Fuzzy Systems, Future Generation Computer Systems, Computer Communications and Computers & Electrical Engineering.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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