S. Ghosal

842 citations
48 papers · 600 · h-index 16

Impact in

    • Hydrogen embrittlement and corrosion behaviors in metals
    • Image Retrieval and Classification Techniques
    • Advanced Image and Video Retrieval Techniques
    • Medical Image Segmentation Techniques
    • Advanced Steganography and Watermarking Techniques
    • Image and Object Detection Techniques

Papers in

S. Ghosal

44 papers receiving 554 citations

Peers

S. Ghosal
Comparison fields: 5 of 75
  • Metals and Alloys 79
  • Computer Vision and Pattern Recognition 291
  • Media Technology 63
  • Mechanical Engineering 125
  • Mechanics of Materials 59
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Citations per field
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Citations per year

Countries citing papers authored by S. Ghosal

Since Specialization
Citations

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

Fields of papers citing papers by S. Ghosal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Ghosal, 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. Ghosal Line = papers co-authored together S. Ghosal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200256
2 199950
3 199447
4 199341
5 201837
6 199735
7 201727
8 200422
9 201922
10 200522
11 200320
12 201119
13 198118
14 200518
15 201516
16 200216
17 201215
18 200713
19 200213
20 200412

About S. Ghosal

S. Ghosal is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Materials Chemistry, Metals and Alloys and Electrical and Electronic Engineering, having authored 48 papers that have together received 600 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Hydrogen embrittlement and corrosion behaviors in metals (8 papers), Corrosion Behavior and Inhibition (6 papers), Advanced Vision and Imaging (6 papers), Force Microscopy Techniques and Applications (5 papers), Medical Image Segmentation Techniques (4 papers), Image and Object Detection Techniques (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Metals and Alloys (79 citations), Computer Vision and Pattern Recognition (291 citations), Media Technology (63 citations), Mechanical Engineering (125 citations) and Mechanics of Materials (59 citations). S. Ghosal has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include R. Mehrotra, P.K. De, Geetika Aggarwal, Ram Sarkar, Nilanjan Ray, Dipten Misra, Ranu Bhatt, Jyotsna Kumar Mandal, Kashi Nath Saha and G. Pohit. Their work appears in journals such as Journal of Materials Engineering and Performance, IEEE Transactions on Image Processing, Multimedia Tools and Applications, Scientific Reports and CORROSION.

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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