K. Parthasarathy

9.5k citations
8 papers · 6.9k indexed · 3 hit papers · h-index 7
Topics
Neural Networks and Applications (5 papers)Control Systems and Identification (2 papers)Sensor Technology and Measurement Systems (1 paper)
Journals
IEEE Transactions on Neural NetworksIEEE Transactions on Systems Man and CyberneticsApplied Optics
Partner nations
United States

In The Last Decade

K. Parthasarathy

7 papers receiving 6.4k citations

Hit Papers

Identification and control of dynamical systems using neu...199020262002201419901991199010002.0k3.0k4.0k5.0k

Peers

K. Parthasarathy
Comparison fields: 5 of 133
  • Control and Systems Engineering 5.0k
  • Artificial Intelligence 4.2k
  • Electrical and Electronic Engineering 819
  • Statistical and Nonlinear Physics 465
  • Mechanical Engineering 449
Replace Håkan Hjalmarsson with:
Håkan Hjalmarsson Sweden
Stanisław H. Żak United States
L.-X. Wang United States
Ling Xu China
Torsten Söderström Sweden
P. Saratchandran Singapore
M. Gevers Belgium
K. Khorasani Canada
Quanmin Zhu United Kingdom
Jonas Sjöberg Sweden
K. Parthasarathy relative to Håkan Hjalmarsson Sweden Håkan Hjalmarsson's profile →
Citations per field
00.5×3.6×
Håkan Hjalmarsson · 1×
Citations per year

Countries citing papers authored by K. Parthasarathy

Since Specialization
Citations

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

Fields of papers citing papers by K. Parthasarathy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Parthasarathy

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1
A neural network approach to photometric stereo inversion of real-world reflectance maps for extracting 3-D shapes of objects
0
2 26
3
Gradient methods for the optimization of dynamical systems containing neural networksbreakdown →
469
4 45
5
Identification and control of dynamical systems using neural networksbreakdown →
5854
6 19
7
IDENTIFICATION AND CONTROL OF DYNAMIC SYSTEMS USING NEURAL NETWORKSbreakdown →
450
8 32

About K. Parthasarathy

K. Parthasarathy is a scholar working on Computer Graphics and Computer-Aided Design, Artificial Intelligence and Signal Processing, having authored 8 papers that have together received 6.9k indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Control Systems and Identification (2 papers) and Sensor Technology and Measurement Systems (1 paper). The work is most often cited by research in Control and Systems Engineering (5.0k citations), Artificial Intelligence (4.2k citations) and Statistical and Nonlinear Physics (465 citations). K. Parthasarathy has collaborated with scholars based in United States. Frequent co-authors include Kumpati S. Narendra, Arthur F. Gmitro and Gene Gindi. Their work appears in journals such as IEEE Transactions on Neural Networks, IEEE Transactions on Systems Man and Cybernetics and Applied Optics.

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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