Sridhar Seshagiri

41 papers receiving 1.2k citations

Hit Papers

Output feedback control of nonlinear systems using RBF ne...20002026200820172000100200300400

Peers

Sridhar Seshagiri
Comparison fields: 5 of 70
  • Control and Systems Engineering 997
  • Electrical and Electronic Engineering 360
  • Aerospace Engineering 184
  • Artificial Intelligence 133
  • Mechanical Engineering 102
Replace Francisco Gordillo with:
Francisco Gordillo Spain
Shyam Krishna Nagar India
J. De León-Morales Mexico
Mohamed Harmouche France
Shixi Hou China
Daniel Coutinho Brazil
K.J. Åström Sweden
Lahoucine Idkhajine France
Salim Labiod Algeria
Celaleddin Yeroğlu Türkiye
Sridhar Seshagiri relative to Francisco Gordillo Spain Francisco Gordillo's profile →
Citations per field
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Francisco Gordillo · 1×
Citations per year

Countries citing papers authored by Sridhar Seshagiri

Since Specialization
Citations

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

Fields of papers citing papers by Sridhar Seshagiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sridhar Seshagiri

This figure shows the co-authorship network connecting the top 25 collaborators of Sridhar Seshagiri. A scholar is included among the top collaborators of Sridhar Seshagiri 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 Sridhar Seshagiri. Sridhar Seshagiri 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
#WorkIndexed citations
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3 4
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5 1
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EE 601 Linear System Theory and Design
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7 8
8 13
9 21
10 20
11 11
12 35
13 19
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An Improved Square-Root Nyquist Shaping Filter
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15 1
16 114
17 48
18 9
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Output feedback control of nonlinear systems using RBF neural networksbreakdown →
441
20 9

About Sridhar Seshagiri

Sridhar Seshagiri is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology and Renewable Energy, Sustainability and the Environment, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (16 papers), Advanced Control Systems Optimization (14 papers) and Iterative Learning Control Systems (11 papers). The work is most often cited by research in Control and Systems Engineering (997 citations), Aerospace Engineering (184 citations) and Energy Engineering and Power Technology (22 citations). Sridhar Seshagiri has collaborated with scholars based in United States, Spain and India. Frequent co-authors include Hassan K. Khalil, Azad Ghaffari, Miroslav Krstić, Mahajan Sagar Bhaskar, Frede Blaabjerg, Sanjeevikumar Padmanaban, Amin Hajizadeh, Kamala Kanta Mahapatra, Umesh Chandra Pati and Rohan Kulkarni. Their work appears in journals such as Automatica, IEEE Transactions on Control Systems Technology and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

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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