V. S. Malemath

524 citations
26 papers · 336 · h-index 10

Impact in

Papers in

V. S. Malemath

23 papers receiving 292 citations

Peers

V. S. Malemath
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 187
  • Media Technology 63
  • Signal Processing 57
  • Computer Networks and Communications 66
  • Analytical Chemistry 26
Replace Myasar Mundher Adnan with:
Myasar Mundher Adnan Iraq
Razib M. Othman Malaysia
Amit Doegar India
Baoru Han China
Arijit Bishnu India
Jitesh Pradhan India
Ruohan Meng China
Mohammed Lamine Kherfi Canada
Maxime Pelcat France
Ko-Chin Chang Taiwan
V. S. Malemath relative to Myasar Mundher Adnan Iraq Myasar Mundher Adnan's profile →
Citations per field
00.5×8.5×
Myasar Mundher Adnan · 1×
Citations per year

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-authors

The 5 scholars most cited alongside V. S. Malemath, 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 V. S. Malemath Line = papers co-authored together V. S. Malemath links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201764
2 200640
3 200638
4 200629
5
Color and Texture Based Identification and Classification of food Grains using different Color Models and Haralick features
201323
6 202022
7 200720
8 202017
9 200715
10 200611
11 20078
12 20078
13 20216
14 20226
15 20225
16 20195
17 20224
18 20204
19 20214
20 20183

About V. S. Malemath

V. S. Malemath is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Safety Research, Computer Networks and Communications and Media Technology, having authored 26 papers that have together received 336 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (8 papers), Handwritten Text Recognition Techniques (7 papers), Biometric Identification and Security (5 papers), Forensic Fingerprint Detection Methods (5 papers), Forensic and Genetic Research (3 papers), Image Processing and 3D Reconstruction (3 papers), Image and Object Detection Techniques (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (187 citations), Media Technology (63 citations), Signal Processing (57 citations), Computer Networks and Communications (66 citations) and Analytical Chemistry (26 citations). V. S. Malemath has collaborated with scholars based in India and Botswana. Frequent co-authors include B.V. Dhandra, Ravindra S. Hegadi, Mallikarjun Hangarge, P. Nagabhushan and K. Meenakshi Sundaram. Their work appears in journals such as Indian Journal of Science and Technology, Frontiers in Robotics and AI, SN Computer Science, International Journal of Information and Decision Sciences and International Journal of Information Technology.

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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