M. Kalaiselvi Geetha

2.1k total citations · 1 hit paper
86 papers, 1.1k citations indexed

About

M. Kalaiselvi Geetha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, M. Kalaiselvi Geetha has authored 86 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 20 papers in Human-Computer Interaction. Recurrent topics in M. Kalaiselvi Geetha's work include Hand Gesture Recognition Systems (19 papers), Human Pose and Action Recognition (18 papers) and Video Surveillance and Tracking Methods (11 papers). M. Kalaiselvi Geetha is often cited by papers focused on Hand Gesture Recognition Systems (19 papers), Human Pose and Action Recognition (18 papers) and Video Surveillance and Tracking Methods (11 papers). M. Kalaiselvi Geetha collaborates with scholars based in India, South Africa and Egypt. M. Kalaiselvi Geetha's co-authors include Neena Aloysius, D. P. Acharjya, Prema Nedungadi, R.S. Latha, R.C. Suganthe, G. R. Sreekanth, S. Palanivel, Arvind Jayaprakash, Unnikrishnan Payyappallimana and R Harikrishnan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

M. Kalaiselvi Geetha

68 papers receiving 1.0k citations

Hit Papers

A review on deep convolutional neural networks 2017 2026 2020 2023 2017 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A review on deep convolutional neural networks
    2017 391 citations Neena Aloysius, M. Kalaiselvi Geetha profile →

Peers

M. Kalaiselvi Geetha
Antonio S. Montemayor Spain
Kandarpa Kumar Sarma India
Kosin Chamnongthai Thailand
Weidong Min China
Qilin Zhang China
Hadi Seyedarabi Iran
Dimitrios Kosmopoulos Greece
Raymond Ptucha United States
Yujun Cai Singapore
Xinghao Chen China
Antonio S. Montemayor Spain
M. Kalaiselvi Geetha
Citations per year, relative to M. Kalaiselvi Geetha M. Kalaiselvi Geetha (= 1×) peers Antonio S. Montemayor

Countries citing papers authored by M. Kalaiselvi Geetha

Since Specialization
Citations

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

Fields of papers citing papers by M. Kalaiselvi Geetha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Kalaiselvi Geetha

This figure shows the co-authorship network connecting the top 25 collaborators of M. Kalaiselvi Geetha. A scholar is included among the top collaborators of M. Kalaiselvi Geetha 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 M. Kalaiselvi Geetha. M. Kalaiselvi Geetha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Nedungadi, Prema, et al.. (2025). Vision transformer-powered conversational agent for real-time Indian Sign Language e-governance accessibility. Scientific Reports. 15(1). 33055–33055.
3.
Geetha, M. Kalaiselvi, et al.. (2025). Toward Real-Time Recognition of Continuous Indian Sign Language: A Multi-Modal Approach Using RGB and Pose. IEEE Access. 13. 60270–60283. 1 indexed citations
4.
Geetha, M. Kalaiselvi, et al.. (2025). Indian legal text summarization using large language model. Procedia Computer Science. 259. 1398–1406.
5.
Geetha, M. Kalaiselvi, et al.. (2024). Deep learning based multi disease classification of plant leaves using light weight residual architecture. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 14(4). 4646–4646.
6.
Geetha, M. Kalaiselvi, et al.. (2024). Efficient deep learning architecture for the classification of diseased plant leaves. Indonesian Journal of Electrical Engineering and Computer Science. 33(1). 198–198. 1 indexed citations
7.
Kumar, Preetham, et al.. (2023). Computer aided diagnosis of diabetic macular edema in retinal fundus and OCT images: A review. Journal of Applied Biomedicine. 43(1). 157–188. 15 indexed citations
8.
Kumar, Preetham, et al.. (2023). Comparative Analysis of Pre-trained ResNet and DenseNet Models for the Detection of Diabetic Macular Edema. Journal of Physics Conference Series. 2571(1). 12006–12006. 4 indexed citations
9.
Geetha, M. Kalaiselvi. (2023). STRESS PREDICTION USING MACHINE LEARNING. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. 7(7). 2 indexed citations
10.
Geetha, M. Kalaiselvi, et al.. (2023). Answer Type Prediction: Unveiling the Power of Deep Learning Models. 1–6.
11.
Geetha, M. Kalaiselvi, et al.. (2023). Exploring Graph Partitioning Techniques for GNN Processing on Large Graphs: A Survey. 1–7. 1 indexed citations
12.
Dar, Showkat Ahmad, et al.. (2022). Autonomous Taxi Driving Environment Using Reinforcement Learning Algorithms. International Journal of Modern Education and Computer Science. 14(3). 88–102. 1 indexed citations
13.
14.
Aloysius, Neena & M. Kalaiselvi Geetha. (2020). A scale space model of weighted average CNN ensemble for ASL fingerspelling recognition. International Journal of Computational Science and Engineering. 22(1). 154–154.
15.
Arunnehru, J. & M. Kalaiselvi Geetha. (2016). Automated Complex Activity Recognition in Multiple Person Interaction. 16(3). 71–85. 1 indexed citations
16.
Arunnehru, J. & M. Kalaiselvi Geetha. (2014). A Quantitative Real-Time Analysis Of Object Tracking Algorithm For Surveillance Applications. 1 indexed citations
17.
Geetha, M. Kalaiselvi, et al.. (2014). HMM BASED REAL TIME FACIAL EXPRESSION RECOGNITION. 5 indexed citations
18.
Arunnehru, J. & M. Kalaiselvi Geetha. (2013). Behavior recognition in surveillance video using temporal features. 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT). 1. 1–5. 2 indexed citations
19.
Geetha, M. Kalaiselvi, et al.. (2012). A Vision Based Recognition of Indian Sign Language Alphabets and Numerals Using B-Spline Approximation. 4. 31 indexed citations
20.
Geetha, M. Kalaiselvi, et al.. (2011). Gesture Recognition for American Sign Language with Polygon Approximation. 241–245. 22 indexed citations

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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