Sharifuddin Mondal

577 total citations
36 papers, 405 citations indexed

About

Sharifuddin Mondal is a scholar working on Control and Systems Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Sharifuddin Mondal has authored 36 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Control and Systems Engineering, 12 papers in Mechanical Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Sharifuddin Mondal's work include Fault Detection and Control Systems (12 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers) and Adaptive Control of Nonlinear Systems (7 papers). Sharifuddin Mondal is often cited by papers focused on Fault Detection and Control Systems (12 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers) and Adaptive Control of Nonlinear Systems (7 papers). Sharifuddin Mondal collaborates with scholars based in India, South Korea and Ethiopia. Sharifuddin Mondal's co-authors include Goutam Chakraborty, Tapan Kumar Ghoshal, Wan Kyun Chung, Youngmok Yun, Goutam Chakraborty, Vivek Soni, Bhagat Singh, Naif Almakayeel, Mohammad Amir Khan and T. M. Yunus Khan and has published in prestigious journals such as Applied Soft Computing, Signal Processing and Ocean Engineering.

In The Last Decade

Sharifuddin Mondal

31 papers receiving 390 citations

Peers

Sharifuddin Mondal
Comparison fields: 5 of 51
  • Control and Systems Engineering 207
  • Artificial Intelligence 114
  • Electrical and Electronic Engineering 89
  • Aerospace Engineering 79
  • Mechanical Engineering 69
Replace Dongik Lee with:
Dongik Lee South Korea
Hai Zhang China
Yunsai Chen China
Mohd Noh Karsiti Malaysia
Dubravko Miljković United States
Stéphane Blouin Canada
Xiaohui Qin China
Junhe Wan China
Ying‐Chih Lai Taiwan
Jiande Wu China
Dongik Lee South Korea View profile →
Citations per field, relative to Sharifuddin Mondal
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Citations per year, relative to Sharifuddin Mondal
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Countries citing papers authored by Sharifuddin Mondal

Since Specialization
Citations

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

Fields of papers citing papers by Sharifuddin Mondal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharifuddin Mondal

This figure shows the co-authorship network connecting the top 25 collaborators of Sharifuddin Mondal. A scholar is included among the top collaborators of Sharifuddin Mondal 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 Sharifuddin Mondal. Sharifuddin Mondal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 0
4 1
5 2
6 2
7 3
8 0
9 2
10 1
11 8
12 3
13 1
14 1
15 3
16 5
17 1
18 20
19 17
20
Unknown Input High Gain Observer for Fault Detection and Isolation of Uncertain Systems
6

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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