S. Mukherjee

21 papers receiving 446 citations

Peers

S. Mukherjee
Comparison fields: 5 of 36
  • Statistical and Nonlinear Physics 392
  • Statistics, Probability and Uncertainty 133
  • Numerical Analysis 89
  • Control and Systems Engineering 285
  • Modeling and Simulation 20
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K.W. Han Taiwan
Α. Gallo Italy
Ching-An Lin Taiwan
Giórgio Valmórbida France
Georg Vossen Germany
E. Jan W. ter Maten Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by S. Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by S. Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside S. Mukherjee, 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. Mukherjee Line = papers co-authored together S. Mukherjee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006117
2 2005109
3 198779
4 200758
5 200738
6 200423
7 198819
8 201313
9 20049
10 20135
11
Reduced Order Modeling of Linear Section of Electrical Transformer using Particle Swarm Optimization and Bacterial Foraging Optimization Techniques for Comparative Study
20114
12 20104
13 20123
14 20123
15 20133
16
Fuzzy modeling and control of basis weight of paper using simulink
20093
17 20113
18 20241
19 20111
20 20071

About S. Mukherjee

S. Mukherjee is a scholar working on Statistical and Nonlinear Physics, Control and Systems Engineering, Civil and Structural Engineering, Statistics, Probability and Uncertainty and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 497 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (14 papers), Probabilistic and Robust Engineering Design (5 papers), Real-time simulation and control systems (5 papers), Control Systems and Identification (4 papers), Hydraulic and Pneumatic Systems (3 papers), Image and Signal Denoising Methods (3 papers), Bladed Disk Vibration Dynamics (3 papers) and Structural Health Monitoring Techniques (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (392 citations), Statistics, Probability and Uncertainty (133 citations), Numerical Analysis (89 citations), Control and Systems Engineering (285 citations) and Modeling and Simulation (20 citations). S. Mukherjee has collaborated with scholars based in India. Frequent co-authors include Rajendra Prasad, Girish Parmar, R.C. Mittal, Rajashree Mishra, M. L. Dewal, Brajesh Kumar, R. Mitra and Vishal Kumar. Their work appears in journals such as Journal of the Franklin Institute, Applied Mathematical Modelling, International Journal of Systems Science, International Journal of Computational Intelligence Systems and SIAM Journal on Control and Optimization.

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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