Ganapati Panda

1.1k total citations
46 papers, 834 citations indexed

About

Ganapati Panda is a scholar working on Signal Processing, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Ganapati Panda has authored 46 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Signal Processing, 26 papers in Computational Mechanics and 13 papers in Biomedical Engineering. Recurrent topics in Ganapati Panda's work include Advanced Adaptive Filtering Techniques (26 papers), Blind Source Separation Techniques (19 papers) and Speech and Audio Processing (17 papers). Ganapati Panda is often cited by papers focused on Advanced Adaptive Filtering Techniques (26 papers), Blind Source Separation Techniques (19 papers) and Speech and Audio Processing (17 papers). Ganapati Panda collaborates with scholars based in India, United Kingdom and Spain. Ganapati Panda's co-authors include Pyari Mohan Pradhan, Nithin V. George, Babita Majhi, Nirmal Kumar Rout, Debi Prasad Das, Niladri B. Puhan, no-firstname Vasundhara, Satyasai Jagannath Nanda, Debiprasad Priyabrata Acharya and Babita Majhi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Mechanical Systems and Signal Processing.

In The Last Decade

Ganapati Panda

44 papers receiving 811 citations

Peers

Ganapati Panda
Comparison fields: 5 of 55
  • Computational Mechanics 417
  • Signal Processing 322
  • Artificial Intelligence 219
  • Electrical and Electronic Engineering 217
  • Control and Systems Engineering 191
Replace Suman Kumar Saha with:
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Sakti Prasad Ghoshal India
Xiangping Zeng China
Eberhard Hänsler Germany
Aryan Saadat Mehr Canada
Hung‐Ching Lu Taiwan
Kehu Yang China
Junxia Ma China
Yunfang Zhu China
Subhankar Sen India
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Citations per field, relative to Ganapati Panda
Ganapati Panda · 1×
Citations per year, relative to Ganapati Panda
Ganapati Panda · 1×

Countries citing papers authored by Ganapati Panda

Since Specialization
Citations

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

Fields of papers citing papers by Ganapati Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganapati Panda

This figure shows the co-authorship network connecting the top 25 collaborators of Ganapati Panda. A scholar is included among the top collaborators of Ganapati Panda 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 Ganapati Panda. Ganapati Panda 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 0
2 24
3 8
4 3
5 1
6 4
7 25
8
Development and Performance Evaluation of Three Novel Prediction Models for Mutual Fund NAV Prediction
6
9 4
10 3
11 4
12 1
13
A reduced complexity adaptive legendre neural network for nonlinear active noise control
14
14 16
15 3
16 45
17 2
18 6
19 5
20 7

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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