Sayan Ghosh

2.5k citations
83 papers · 1.8k indexed · 1 hit paper · h-index 23

Sayan Ghosh

78 papers receiving 1.7k citations

Hit Papers

A comprehensive review of digital twin — part 1: modeling...208202220262023202450100150200

Peers

Sayan Ghosh
Comparison fields: 5 of 98
  • Mechanical Engineering 1.2k
  • Industrial and Manufacturing Engineering 241
  • Statistics, Probability and Uncertainty 110
  • Electrical and Electronic Engineering 651
  • Mechanics of Materials 266
Replace Marek Balazinski with:
Marek Balazinski Canada
Suresh Perinpanayagam United Kingdom
J. Barreiro Spain
Guojun Zhang China
S. Mitra India
B. K. A. Ngoi Singapore
Johann Sienz United Kingdom
M.S. Shunmugam India
Zone‐Ching Lin Taiwan
Edvard Govekar Slovenia
Sayan Ghosh relative to Marek Balazinski Canada Marek Balazinski's profile →
Citations per field
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Marek Balazinski · 1×
Citations per year

Countries citing papers authored by Sayan Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Sayan Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20256
2 20250
3 20250
4 20240
5 20238
6 20236
7 20232
8 202310
9 20234
10 20223
11 20224
12
Design and implementation of Third EYE for the Blind People By using Optical Character Recognition in Raspberry Pi Microcontroller
20211
13 202116
14 20193
15 201763
16 201571
17 20154
18
Current Concepts of Feed Formulation for Livestock using Mathematical Modeling
20145
19 20118
20 19821

About Sayan Ghosh

Sayan Ghosh is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Mechanical Engineering, having authored 83 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced machining processes and optimization (23 papers), Advanced Multi-Objective Optimization Algorithms (21 papers), Probabilistic and Robust Engineering Design (19 papers), Advanced Machining and Optimization Techniques (14 papers), Advanced Surface Polishing Techniques (14 papers), Advanced materials and composites (9 papers), Metal and Thin Film Mechanics (9 papers) and Metal Alloys Wear and Properties (7 papers). The work is most often cited by research in Mechanical Engineering (1.2k citations), Industrial and Manufacturing Engineering (241 citations) and Statistics, Probability and Uncertainty (110 citations). Sayan Ghosh has collaborated with scholars based in India, United States and Israel. Frequent co-authors include P. Venkateswara Rao, Chetan Chetan, Bikash Chandra Behera, Angshuman Chattopadhyay, S. Paul, S. Aravindan, Adam Thelen, Byeng D. Youn, Olga Fink and Sankaran Mahadevan. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

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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