S. Manjunath

854 citations
67 papers · 679 · h-index 12

Impact in

Papers in

    • Handwritten Text Recognition Techniques 13
    • Image Retrieval and Classification Techniques 8
    • Video Surveillance and Tracking Methods 7
    • Video Analysis and Summarization 6
    • Face and Expression Recognition 5
    • Text and Document Classification Technologies 11

S. Manjunath

60 papers receiving 600 citations

Peers

S. Manjunath
Comparison fields: 5 of 105
  • Computer Vision and Pattern Recognition 270
  • Analytical Chemistry 86
  • Media Technology 70
  • Artificial Intelligence 215
  • Signal Processing 61
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Citations per year

Countries citing papers authored by S. Manjunath

Since Specialization
Citations

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

Fields of papers citing papers by S. Manjunath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside S. Manjunath, 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. Manjunath Line = papers co-authored together S. Manjunath links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Texture Features and KNN in Classification of Flower Images
2010100
2
Representation and Classification of Text Documents: A Brief Review
201080
3 201060
4 201648
5 201747
6 201138
7 202030
8 201229
9 201119
10 201019
11 201315
12 201912
13 201011
14 201010
15 20119
16 20189
17 20139
18 20198
19 20098
20 20148

About S. Manjunath

S. Manjunath is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Molecular Biology and Information Systems, having authored 67 papers that have together received 679 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (13 papers), Text and Document Classification Technologies (11 papers), Gene expression and cancer classification (9 papers), Image Retrieval and Classification Techniques (8 papers), Cell Image Analysis Techniques (7 papers), Video Surveillance and Tracking Methods (7 papers), Video Analysis and Summarization (6 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (270 citations), Analytical Chemistry (86 citations), Media Technology (70 citations), Artificial Intelligence (215 citations) and Signal Processing (61 citations). S. Manjunath has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include D. S. Guru, B. S. Harish, K. S. Manjunatha, P. Mallikarjuna, C.L. Tan, R. Dinesh, Palaiahnakote Shivakumara, V. N. Manjunath Aradhya, Aarti Sathyanarayana and B. Ravi Kiran. Their work appears in journals such as Pattern Recognition Letters, Mathematical and Computer Modelling, Computers & Mathematics with Applications, Expert Systems with Applications and Lecture notes in computer science.

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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