Ganapati Panda

153 papers and 3.4k indexed citations i.

About

Ganapati Panda is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ganapati Panda has authored 153 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Signal Processing, 49 papers in Artificial Intelligence and 33 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ganapati Panda’s work include Advanced Adaptive Filtering Techniques (28 papers), Blind Source Separation Techniques (25 papers) and Speech and Audio Processing (23 papers). Ganapati Panda is often cited by papers focused on Advanced Adaptive Filtering Techniques (28 papers), Blind Source Separation Techniques (25 papers) and Speech and Audio Processing (23 papers). Ganapati Panda collaborates with scholars based in India, United Kingdom and Canada. Ganapati Panda's co-authors include Satyasai Jagannath Nanda, Jagdish C. Patra, Nithin V. George, Debi Prasad Das, Babita Majhi, Ritanjali Majhi, Rajarshi Pal, Pyari Mohan Pradhan, Β.N. Chatterji and P.K. Dash and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Ganapati Panda i

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.

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).

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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