V. S. Malemath

524 total citations
26 papers, 336 citations indexed

About

V. S. Malemath is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Safety Research. According to data from OpenAlex, V. S. Malemath has authored 26 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 5 papers in Safety Research. Recurrent topics in V. S. Malemath's work include Image Retrieval and Classification Techniques (8 papers), Handwritten Text Recognition Techniques (7 papers) and Biometric Identification and Security (5 papers). V. S. Malemath is often cited by papers focused on Image Retrieval and Classification Techniques (8 papers), Handwritten Text Recognition Techniques (7 papers) and Biometric Identification and Security (5 papers). V. S. Malemath collaborates with scholars based in India and Botswana. V. S. Malemath's co-authors include Ravindra S. Hegadi, B.V. Dhandra, Mallikarjun Hangarge, P. Nagabhushan and K. Meenakshi Sundaram and has published in prestigious journals such as Frontiers in Robotics and AI, Indian Journal of Science and Technology and SN Computer Science.

In The Last Decade

V. S. Malemath

23 papers receiving 292 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
V. S. Malemath India	10	187	66	63	57	51	26	336
Myasar Mundher Adnan Iraq	9	111 0.6×	29 0.4×	27 0.4×	26 0.5×	71 1.4×	78	258
Amit Doegar India	11	138 0.7×	76 1.2×	26 0.4×	35 0.6×	96 1.9×	24	280
R. Cristin India	9	79 0.4×	39 0.6×	12 0.2×	24 0.4×	88 1.7×	31	279
Jitesh Pradhan India	10	167 0.9×	18 0.3×	48 0.8×	16 0.3×	48 0.9×	31	270
Baoru Han China	10	196 1.0×	15 0.2×	26 0.4×	28 0.5×	63 1.2×	39	330
Ritesh Maurya India	11	58 0.3×	69 1.0×	8 0.1×	58 1.0×	142 2.8×	37	337
Mohammed Lamine Kherfi Canada	11	343 1.8×	8 0.1×	63 1.0×	36 0.6×	88 1.7×	39	500
Chenqi Kong Hong Kong	11	238 1.3×	12 0.2×	21 0.3×	83 1.5×	51 1.0×	17	356
Faris Kateb Saudi Arabia	11	60 0.3×	18 0.3×	10 0.2×	26 0.5×	99 1.9×	35	303

Countries citing papers authored by V. S. Malemath

Since Specialization

Citations

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

Fields of papers citing papers by V. S. Malemath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. S. Malemath

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

All Works

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20 of 20 papers shown

Malemath, V. S., et al.. (2025). MVRO-based DRNN: multi-verse rider optimisation-based deep recurrent neural network for intrusion detection in latency constrained cyber physical systems. International Journal of Information and Decision Sciences. 17(1). 110–131. 1 indexed citations

Malemath, V. S., et al.. (2022). Knee Osteoarthritis Grading Using DenseNet and Radiographic Images. SN Computer Science. 4(1). 5 indexed citations

Malemath, V. S., et al.. (2022). Adam Improved Rider Optimization-Based Deep Recurrent Neural Network for the Intrusion Detection in Cyber Physical Systems. International Journal of Swarm Intelligence Research. 13(3). 1–22. 4 indexed citations

Malemath, V. S., et al.. (2022). A Study on Automatic Latent Fingerprint Identification System. 4(1). 38–50. 6 indexed citations

Malemath, V. S., et al.. (2021). Symptom-Based Identification of G-4 Chili Leaf Diseases Based on Rotation Invariant. Frontiers in Robotics and AI. 8. 650134–650134. 6 indexed citations

Malemath, V. S., et al.. (2021). Unmanned Drug Delivery Vehicle for COVID-19 Wards in Hospitals. 3(3). 8–15.

Malemath, V. S., et al.. (2020). CNNAI: A Convolution Neural Network-Based Latent Fingerprint Matching Using the Combination of Nearest Neighbor Arrangement Indexing. Frontiers in Robotics and AI. 7. 22 indexed citations

Malemath, V. S., et al.. (2020). End-to-End Automated Latent Fingerprint Identification With Improved DCNN-FFT Enhancement. Frontiers in Robotics and AI. 7. 594412–594412. 4 indexed citations

Malemath, V. S., et al.. (2020). Automatic latent fingerprint identification system using scale and rotation invariant minutiae features. International Journal of Information Technology. 14(2). 1025–1039. 17 indexed citations

10.

Malemath, V. S., et al.. (2019). Disease Identification in Chilli Leaves using Machine Learning Techniques. International Journal of Engineering and Advanced Technology. 9(1s3). 325–329. 5 indexed citations

11.

Malemath, V. S., et al.. (2019). Detection and Segmentation of Blood Cells Based on Supervised Learning. Indian Journal of Science and Technology. 12(20). 1–7. 1 indexed citations

12.

Malemath, V. S., et al.. (2019). POSE ESTIMATION FOR SKELETON DETECTION. International Journal of Engineering Applied Sciences and Technology. 4(4). 192–196. 2 indexed citations

13.

Malemath, V. S., et al.. (2018). Detection of Brain Tumor using Expectation Maximization (EM) and Watershed. 6(3). 76–80. 3 indexed citations

14.

Malemath, V. S., et al.. (2013). Color and Texture Based Identification and Classification of food Grains using different Color Models and Haralick features. 23 indexed citations

15.

Dhandra, B.V., et al.. (2007). Multi-font Numeral Recognition without Thinning based on Directional Density of Pixels. 157–160. 8 indexed citations

16.

Dhandra, B.V., Mallikarjun Hangarge, Ravindra S. Hegadi, & V. S. Malemath. (2007). Word Level Script Identification in Bilingual Documents through Discriminating Features. smc 9. 630–635. 20 indexed citations

17.

Dhandra, B.V., Ravindra S. Hegadi, Mallikarjun Hangarge, & V. S. Malemath. (2007). Endoscopic image classification based on active contours without edges. 167–172. 8 indexed citations

18.

Dhandra, B.V., et al.. (2007). Word-wise Script Identification from Bilingual Documents Based on Morphological Reconstruction. 27. 389–394. 15 indexed citations

19.

Dhandra, B.V., et al.. (2006). Word-wise script identification based on morphological reconstruction in printed bilingual documents. 2006. 389–393. 11 indexed citations

20.

Dhandra, B.V., P. Nagabhushan, Mallikarjun Hangarge, Ravindra S. Hegadi, & V. S. Malemath. (2006). Script Identification Based on Morphological Reconstruction in Document Images. 27. 950–953. 40 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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