Reshma Suvarna

1.2k citations
8 papers · 726 indexed · 1 hit paper · h-index 4
Topics
Imbalanced Data Classification Techniques (2 papers)Web Data Mining and Analysis (2 papers)Salivary Gland Disorders and Functions (1 paper)
Journals
Knowledge and Information SystemsJournal of Cancer Research and TherapeuticsJournal of Indian Academy of Oral Medicine and Radiology

In The Last Decade

Reshma Suvarna

8 papers receiving 591 citations

Hit Papers

Resource description framework20012026200920172001200400600

Peers

Reshma Suvarna
Comparison fields: 5 of 97
  • Artificial Intelligence 423
  • Information Systems 327
  • Computer Networks and Communications 257
  • Molecular Biology 86
  • Computer Vision and Pattern Recognition 76
Replace Oktie Hassanzadeh with:
Oktie Hassanzadeh United States
Ahmed Abdelaziz Malaysia
Mohammad Sadoghi United States
Yaling Zhang China
A. Mili United States
Miki Nakagawa Japan
Chid Apte United States
Eric Simon France
Víctor Muntés-Mulero Spain
Yan Tang China
Reshma Suvarna relative to Oktie Hassanzadeh United States Oktie Hassanzadeh's profile →
Citations per field
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Citations per year

Countries citing papers authored by Reshma Suvarna

Since Specialization
Citations

This map shows the geographic impact of Reshma Suvarna'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 Reshma Suvarna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reshma Suvarna more than expected).

Fields of papers citing papers by Reshma Suvarna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reshma Suvarna. 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 Reshma Suvarna. The network helps show where Reshma Suvarna may publish in the future.

Co-authorship network of co-authors of Reshma Suvarna

This figure shows the co-authorship network connecting the top 25 collaborators of Reshma Suvarna. A scholar is included among the top collaborators of Reshma Suvarna based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Reshma Suvarna. Reshma Suvarna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 3
2
Credit Card Fraud Detection Using Deep Learning Techniques
2
3 6
4 1
5 1
6 8
7 86
8
Resource description frameworkbreakdown →
619

About Reshma Suvarna

Reshma Suvarna is a scholar working on Information Systems, Artificial Intelligence and Media Technology, having authored 8 papers that have together received 726 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (2 papers), Web Data Mining and Analysis (2 papers) and Salivary Gland Disorders and Functions (1 paper). The work is most often cited by research in Information Systems (327 citations), Artificial Intelligence (423 citations) and Computer Networks and Communications (257 citations). Reshma Suvarna has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include K. Selçuk Candan, Huan Liu, Jong Wook Kim and Prasanna Kumar Rao. Their work appears in journals such as Knowledge and Information Systems, Journal of Cancer Research and Therapeutics and Journal of Indian Academy of Oral Medicine and Radiology.

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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