Ayan Mukherjee

1.3k citations
56 papers · 637 · h-index 15

Impact in

Papers in

Ayan Mukherjee

53 papers receiving 596 citations

Peers

Ayan Mukherjee
Comparison fields: 5 of 75
  • Control and Systems Engineering 233
  • Cardiology and Cardiovascular Medicine 152
  • Cognitive Neuroscience 75
  • Mechanical Engineering 148
  • Automotive Engineering 34
Replace Mario R. Arrieta Paternina with:
Mario R. Arrieta Paternina Mexico
Alejandro Zamora‐Mendez Mexico
Jianfeng Chen China
R. Ruı́z Spain
M.J. Devaney United States
M. R. Ashory Iran
Xuezhi Zhao China
Yue Hu China
Narayan Kovvali United States
Ayan Mukherjee relative to Mario R. Arrieta Paternina Mexico Mario R. Arrieta Paternina's profile →
Citations per field
00.5×2.6×
Mario R. Arrieta Paternina · 1×
Citations per year

Countries citing papers authored by Ayan Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Ayan Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017117
2 200561
3 201934
4 201533
5 200926
6 200024
7 200724
8 200522
9
Neural Network for Pattern Recognition
201820
10 200619
11 200617
12 200317
13 201615
14 199615
15 201715
16 200612
17 19909
18 20099
19 19998
20 19778

About Ayan Mukherjee

Ayan Mukherjee is a scholar working on Mechanical Engineering, Control and Systems Engineering, Electrical and Electronic Engineering, Cardiology and Cardiovascular Medicine and Materials Chemistry, having authored 56 papers that have together received 637 indexed citations. Recurring topics across this work include Tribology and Lubrication Engineering (7 papers), ECG Monitoring and Analysis (6 papers), Advancements in Solid Oxide Fuel Cells (5 papers), Fuel Cells and Related Materials (5 papers), Hydraulic and Pneumatic Systems (4 papers), Phonocardiography and Auscultation Techniques (4 papers), Magnetic Bearings and Levitation Dynamics (4 papers) and Robot Manipulation and Learning (4 papers). The work is most often cited by research in Control and Systems Engineering (233 citations), Cardiology and Cardiovascular Medicine (152 citations), Cognitive Neuroscience (75 citations), Mechanical Engineering (148 citations) and Automotive Engineering (34 citations). Ayan Mukherjee has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Arun Kumar Samantaray, Ranjan Bhattacharyya, Arijit Ukil, Arpan Pal, Chetanya Puri, Rohan Banerjee, Soma Bandyopadhyay, Periasamy Vijay, Anirban Dutta Choudhury and Shreyasi Datta. Their work appears in journals such as Mechanism and Machine Theory, Journal of Dynamic Systems Measurement and Control, Journal of Manufacturing Science and Engineering, International Journal of Non-Linear Mechanics and Ironmaking & Steelmaking Processes Products and Applications.

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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