K. Vani

750 citations
71 papers · 446 · h-index 12

Impact in

Papers in

K. Vani

64 papers receiving 419 citations

Peers

K. Vani
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 164
  • Media Technology 65
  • Safety, Risk, Reliability and Quality 66
  • Industrial and Manufacturing Engineering 70
  • Global and Planetary Change 65
Replace Yuelei Xu with:
Yuelei Xu China
Yuqi Han China
Bin Hui China
Nidhi Chandrakar India
Devanand Bhonsle India
Fei Xiao China
Mahboob Iqbal Pakistan
Zhihong Fu China
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Citations per field
00.5×11×
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Citations per year

Countries citing papers authored by K. Vani

Since Specialization
Citations

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

Fields of papers citing papers by K. Vani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside K. Vani, 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 K. Vani Line = papers co-authored together K. Vani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201971
2 202031
3 202030
4 201327
5 201421
6 202316
7 201416
8
Leather Species Identification Based on Surface Morphological Characteristics using Image Analysis Technique
201615
9 202314
10 202413
11 201012
12 201311
13
Pedagogy and Reduction of K-nn Algorithm for Filtering Samples in the Breast Cancer Treatment
201910
14 20239
15 20179
16 20159
17
Machine Vision Inspection System for Detection of Leather Surface Defects
20198
18 20148
19 20157
20 20226

About K. Vani

K. Vani is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Molecular Biology, Ecology and Aerospace Engineering, having authored 71 papers that have together received 446 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (14 papers), Advanced Image Fusion Techniques (11 papers), Video Surveillance and Tracking Methods (8 papers), Remote Sensing in Agriculture (7 papers), Industrial Vision Systems and Defect Detection (6 papers), Protein Structure and Dynamics (6 papers), Image and Signal Denoising Methods (6 papers) and Remote Sensing and Land Use (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (164 citations), Media Technology (65 citations), Safety, Risk, Reliability and Quality (66 citations), Industrial and Manufacturing Engineering (70 citations) and Global and Planetary Change (65 citations). K. Vani has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include S. Sanjeevi, Malathy Jawahar, N. K. Chandra Babu, Chao‐Hung Lin, S. Geetha, L. Jani Anbarasi, Md. Amzad Hossain, Shaik Hasane Ahammad, Ahmed Nabih Zaki Rashed and R. Sureshkumar. Their work appears in journals such as Computers & Geosciences, Plasmonics, International Journal of Machining and Machinability of Materials, IEEE Access and Optik.

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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