S. Geetha

3.0k citations
171 papers · 2.2k · 2 hit papers · h-index 22

Impact in

Papers in

S. Geetha

152 papers receiving 2.0k citations

S. Geetha's Hit Papers

An Efficient DenseNet-Based Deep Learning Model for Malware Detection 2021 · 183 citations
1830+2+4Years since publication50100150200250

Peers

S. Geetha
Comparison fields: 5 of 124
  • Signal Processing 632
  • Computer Networks and Communications 723
  • Health Information Management 123
  • Computer Vision and Pattern Recognition 564
  • Artificial Intelligence 896
Replace Alberto Cano with:
Alberto Cano United States
Sergio Ramírez‐Gallego Spain
Arun K. Pujari India
Anjana Gosain India
Yuming Zhou China
Anazida Zainal Malaysia
Leandro L. Minku United Kingdom
Raymond K. Wong Australia
Somula Ramasubbareddy India
A. Govardhan India
S. Geetha relative to Alberto Cano United States Alberto Cano's profile →
Citations per field
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Citations per year

Countries citing papers authored by S. Geetha

Since Specialization
Citations

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

Fields of papers citing papers by S. Geetha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Geetha, 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 S. Geetha Line = papers co-authored together S. Geetha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011270
2
Credit Card Fraud Detection using Machine Learning Algorithms
Hit paper breakdown →
2019251
3
An Efficient DenseNet-Based Deep Learning Model for Malware Detection
Hit paper breakdown →
2021183
4 2020117
5 202095
6 201989
7 201973
8 201345
9 201938
10 201736
11 202132
12 202132
13 202032
14 201432
15 202031
16 199330
17 201228
18 201527
19 201825
20 201124

About S. Geetha

S. Geetha is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 171 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (48 papers), Digital Media Forensic Detection (40 papers), Chaos-based Image/Signal Encryption (28 papers), Network Security and Intrusion Detection (23 papers), Advanced Malware Detection Techniques (21 papers), Biometric Identification and Security (11 papers), Anomaly Detection Techniques and Applications (10 papers) and User Authentication and Security Systems (10 papers). The work is most often cited by research in Signal Processing (632 citations), Computer Networks and Communications (723 citations), Health Information Management (123 citations), Computer Vision and Pattern Recognition (564 citations) and Artificial Intelligence (896 citations). S. Geetha has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Siva S. Sivatha Sindhu, A. Kannan, S. Abijah Roseline, Seifedine Kadry, Robertas Damaševičius, N. Kamaraj, S. Sasikala, S. Balamurugan, K. P. K. Nair and Yunyoung Nam. Their work appears in journals such as Multimedia Tools and Applications, IEEE Access, Journal of the Operational Research Society, European Journal of Operational Research and Scientific Reports.

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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