Soham Sarkar

988 citations
18 papers · 634 · h-index 11

Impact in

Papers in

Soham Sarkar

18 papers receiving 598 citations

Peers

Soham Sarkar
Comparison fields: 5 of 85
  • Media Technology 157
  • Computer Vision and Pattern Recognition 284
  • Mechanical Engineering 184
  • Artificial Intelligence 153
  • Electrical and Electronic Engineering 184
Replace Minghao Zhou with:
Minghao Zhou China
Héctor José Puga Soberanes Mexico
N. Venkateswaran India
Zhi-Kai Huang China
Fuqin Deng China
Zhengmao Ye United States
G. Fornarelli Italy
Rong Cheng China
Yuxuan Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Soham Sarkar

Since Specialization
Citations

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

Fields of papers citing papers by Soham Sarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Soham Sarkar, 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 Soham Sarkar Line = papers co-authored together Soham Sarkar links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2013150
2 2014124
3 2007120
4 201580
5 201636
6 201920
7 201317
8 202114
9 201314
10 202013
11 201311
12 20239
13 20237
14 20197
15
PLANAR AND SPECT MONTE CARLO ACCELERATION USING A VARIANCE REDUCTION TECHNIQUE IN I131 IMAGING
20074
16 20203
17 20113
18 20222

About Soham Sarkar

Soham Sarkar is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Biomedical Engineering, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 634 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (8 papers), Advanced Surface Polishing Techniques (6 papers), Advanced Machining and Optimization Techniques (6 papers), Laser Material Processing Techniques (5 papers), Medical Image Segmentation Techniques (3 papers), Remote-Sensing Image Classification (2 papers), Face and Expression Recognition (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Media Technology (157 citations), Computer Vision and Pattern Recognition (284 citations), Mechanical Engineering (184 citations), Artificial Intelligence (153 citations) and Electrical and Electronic Engineering (184 citations). Soham Sarkar has collaborated with scholars based in India, Australia and Singapore. Frequent co-authors include Swagatam Das, Sheli Sinha Chaudhuri, S. Mitra, B. Bhattacharyya, Arunanshu S. Kuar, G. Selvakumar, Ritambhar Burman, Narasimalu Srikanth, R. Vinu and B. Rajasekhar Reddy. Their work appears in journals such as Optics & Laser Technology, Journal of Materials Processing Technology, Pattern Recognition Letters, Applied Soft Computing and IEEE Transactions on Image Processing.

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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