S. Shivashankar

422 citations
18 papers · 282 indexed · h-index 8

S. Shivashankar

18 papers receiving 241 citations

Peers

S. Shivashankar
Comparison fields: 5 of 63
  • Computer Vision and Pattern Recognition 171
  • Media Technology 67
  • Artificial Intelligence 89
  • Information Systems 54
  • Signal Processing 21
Replace Saïd Najah with:
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K. Seetharaman India
Marisa Morita Canada
T. Hitendra Sarma India
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Yiming Xue China
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Citations per year

Countries citing papers authored by S. Shivashankar

Since Specialization
Citations

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

Fields of papers citing papers by S. Shivashankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 9 scholars most cited alongside S. Shivashankar, 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. Shivashankar Line = papers co-authored together S. Shivashankar links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20185
2 20172
3
CEIL: a scalable, resolution limit free approach for detecting communities in large networks
20156
4 20147
5 201120
6
Cluster Analysis of Customer Reviews Extracted from Web Pages
20105
7 201026
8 20108
9 201044
10
QUALITY ASSESSMENT OF CUSTOMER REVIEWS EXTRACTED FROM WEB PAGES : A REVIEW CLUSTERING APPROACH
20102
11
Web based Quality Assessment of Customer Reviews using Quartile Measure
20095
12 200864
13 20062
14
WAVELET BASED FEATURES FOR TEXTURE CLASSIFICATION
200628
15 20061
16 20061
17
WAVELET BASED FEATURES FOR COLOR TEXTURE CLASSIFICATION WITH APPLICATION TO CBIR
200653
18
Equilibrium relative humidity (ERH) relationships of processed arecanut and whole dried ripe nuts.
19633

About S. Shivashankar

S. Shivashankar is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 18 papers that have together received 282 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (7 papers), Sentiment Analysis and Opinion Mining (4 papers), Image Processing and 3D Reconstruction (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Spam and Phishing Detection (3 papers), Handwritten Text Recognition Techniques (3 papers), Medical Image Segmentation Techniques (2 papers) and Vehicle License Plate Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (171 citations), Media Technology (67 citations) and Artificial Intelligence (89 citations). S. Shivashankar has collaborated with scholars based in India and Sweden. Frequent co-authors include P. S. Hiremath, Jagadeesh Pujari, P. S. Hiremath, Balaraman Ravindran, Sandeep Srivathsan, Ashish V. Tendulkar, K. Gayathri, Susan Elias and T. Srinivasan. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Pattern Recognition Letters.

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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