Soham Sarkar

988 total citations
18 papers, 634 citations indexed

About

Soham Sarkar is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Soham Sarkar has authored 18 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Mechanical Engineering, 7 papers in Electrical and Electronic Engineering and 7 papers in Biomedical Engineering. Recurrent topics in Soham Sarkar's work include Advanced machining processes and optimization (8 papers), Advanced Machining and Optimization Techniques (6 papers) and Advanced Surface Polishing Techniques (6 papers). Soham Sarkar is often cited by papers focused on Advanced machining processes and optimization (8 papers), Advanced Machining and Optimization Techniques (6 papers) and Advanced Surface Polishing Techniques (6 papers). Soham Sarkar collaborates with scholars based in India, Australia and Singapore. Soham Sarkar's co-authors include Swagatam Das, Sheli Sinha Chaudhuri, S. Mitra, B. Bhattacharyya, Arunanshu S. Kuar, G. Selvakumar, R. Vinu, B. Rajasekhar Reddy, Narasimalu Srikanth and Ponnuthurai Nagaratnam Suganthan and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and Journal of Materials Processing Technology.

In The Last Decade

Soham Sarkar

18 papers receiving 598 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Soham Sarkar India 11 284 184 184 157 153 18 634
Minghao Zhou China 11 303 1.1× 89 0.5× 228 1.2× 365 2.3× 51 0.3× 41 880
Zhi-Kai Huang China 12 235 0.8× 75 0.4× 122 0.7× 67 0.4× 90 0.6× 55 563
Héctor José Puga Soberanes Mexico 12 178 0.6× 86 0.5× 51 0.3× 43 0.3× 127 0.8× 43 446
N. Venkateswaran India 14 158 0.6× 53 0.3× 83 0.5× 85 0.5× 66 0.4× 88 618
Lihua Wang China 11 82 0.3× 113 0.6× 39 0.2× 50 0.3× 131 0.9× 39 519
Zhengmao Ye United States 10 163 0.6× 75 0.4× 50 0.3× 84 0.5× 41 0.3× 88 447
Denis Hamad France 11 181 0.6× 58 0.3× 147 0.8× 42 0.3× 136 0.9× 53 559
Mukul Sutaone India 10 163 0.6× 21 0.1× 124 0.7× 28 0.2× 124 0.8× 66 487
Hsin-Chien Huang Taiwan 7 357 1.3× 120 0.7× 27 0.1× 115 0.7× 306 2.0× 14 678

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-authorship network of co-authors of Soham Sarkar

This figure shows the co-authorship network connecting the top 25 collaborators of Soham Sarkar. A scholar is included among the top collaborators of Soham Sarkar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Soham Sarkar. Soham Sarkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Biswas, R. K., et al.. (2023). Analysis of performance characteristics with artificial intelligence based TLBO technique for laser drilling of Monel superalloy. Optics & Laser Technology. 164. 109554–109554. 7 indexed citations
2.
Reddy, B. Rajasekhar, Soham Sarkar, & R. Vinu. (2023). Microwave-assisted rapid pyrolysis of woodblock without adding susceptor and detailed product analysis. Biomass Conversion and Biorefinery. 14(11). 11941–11950. 9 indexed citations
3.
Sarkar, Soham, et al.. (2022). MONitoring Knockbacks in EmergencY (MONKEY) – An Audit of Disposition Outcomes in Emergency Patients with Rejected Admission Requests. Open Access Emergency Medicine. Volume 14. 481–490. 2 indexed citations
4.
Kuar, Arunanshu S., et al.. (2021). Experimental investigation of sawing approach of low power fiber laser cutting of titanium alloy using particle swarm optimization technique. Optics & Laser Technology. 147. 107613–107613. 14 indexed citations
5.
Kuar, Arunanshu S., et al.. (2020). Optimisation of edge quality on stainless steel 316L using low power fibre laser beam machining. Advances in Materials and Processing Technologies. 7(1). 42–53. 13 indexed citations
6.
Kuar, Arunanshu S., et al.. (2020). An experimental study of geometrical characteristic in low power fiber laser drilling of Monel k-500 superalloy. Materials Today Proceedings. 26. 689–695. 3 indexed citations
7.
Kuar, Arunanshu S., et al.. (2019). A Parametric Study of Kerf Deviation in Fiber Laser Micro Cutting on Ti6Al4V Superalloy. Materials Today Proceedings. 18. 3348–3356. 7 indexed citations
8.
Kuar, Arunanshu S., et al.. (2019). Enhancement of sawing strategy of multiple surface quality characteristics in low power fiber laser micro cutting process on titanium alloy sheet. Optics & Laser Technology. 122. 105847–105847. 20 indexed citations
9.
Sarkar, Soham, Swagatam Das, & Sheli Sinha Chaudhuri. (2016). Multi-level thresholding with a decomposition-based multi-objective evolutionary algorithm for segmenting natural and medical images. Applied Soft Computing. 50. 142–157. 36 indexed citations
10.
Sarkar, Soham, Swagatam Das, & Sheli Sinha Chaudhuri. (2015). Hyper-spectral image segmentation using Rényi entropy based multi-level thresholding aided with differential evolution. Expert Systems with Applications. 50. 120–129. 80 indexed citations
11.
Sarkar, Soham, Swagatam Das, & Sheli Sinha Chaudhuri. (2014). A multilevel color image thresholding scheme based on minimum cross entropy and differential evolution. Pattern Recognition Letters. 54. 27–35. 124 indexed citations
12.
Selvakumar, G., Soham Sarkar, & S. Mitra. (2013). An experimental analysis of single pass cutting of aluminium 5083 alloy in different corner angles through WEDM. International Journal of Machining and Machinability of Materials. 13(2/3). 262–262. 14 indexed citations
13.
Sarkar, Soham & Swagatam Das. (2013). Multilevel Image Thresholding Based on 2D Histogram and Maximum Tsallis Entropy— A Differential Evolution Approach. IEEE Transactions on Image Processing. 22(12). 4788–4797. 150 indexed citations
14.
Ren, Ye, Ponnuthurai Nagaratnam Suganthan, Narasimalu Srikanth, & Soham Sarkar. (2013). A hybrid ARIMA-DENFIS method for wind speed forecasting. 1–6. 11 indexed citations
15.
Sarkar, Soham, et al.. (2013). Multi-level image segmentation based on fuzzy - Tsallis entropy and differential evolution. 1–8. 17 indexed citations
16.
Ghatak, S., et al.. (2011). Investigation on the effect of spark gap in dry µ-electro discharge machining of SiC-10BN nano-composite. International Journal of Manufacturing Technology and Management. 24(1/2/3/4). 71–71. 3 indexed citations
17.
Sarkar, Soham, et al.. (2007). PLANAR AND SPECT MONTE CARLO ACCELERATION USING A VARIANCE REDUCTION TECHNIQUE IN I131 IMAGING. Iranian Journal of radiation research. 4(4). 175–182. 4 indexed citations
18.
Sarkar, Soham, et al.. (2007). Modeling and optimization of wire electrical discharge machining of γ-TiAl in trim cutting operation. Journal of Materials Processing Technology. 205(1-3). 376–387. 120 indexed citations

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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