Ganapati Panda

6.9k total citations · 2 hit papers
230 papers, 4.8k citations indexed

About

Ganapati Panda is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ganapati Panda has authored 230 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Artificial Intelligence, 70 papers in Signal Processing and 50 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ganapati Panda's work include Neural Networks and Applications (37 papers), Blind Source Separation Techniques (36 papers) and Advanced Adaptive Filtering Techniques (36 papers). Ganapati Panda is often cited by papers focused on Neural Networks and Applications (37 papers), Blind Source Separation Techniques (36 papers) and Advanced Adaptive Filtering Techniques (36 papers). Ganapati Panda collaborates with scholars based in India, United Kingdom and Lebanon. Ganapati Panda's co-authors include Satyasai Jagannath Nanda, Jagdish C. Patra, Babita Majhi, Nithin V. George, Debi Prasad Das, Ritanjali Majhi, Rajarshi Pal, Pyari Mohan Pradhan, P.K. Dash and Niladri B. Puhan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Ganapati Panda

217 papers receiving 4.6k citations

Hit Papers

A survey on nature inspired metaheuristic algorithms for ... 2014 2026 2018 2022 2014 2016 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A survey on nature inspired metaheuristic algorithms for partitional clustering
    2014 412 citations Ganapati Panda et al. profile →
  2. Sentiment analysis of Twitter data for predicting stock market movements
    2016 290 citations Ganapati Panda, Babita Majhi et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ganapati Panda India 32 1.7k 974 936 879 730 230 4.8k
Wing W. Y. Ng China 39 2.7k 1.6× 871 0.9× 476 0.5× 518 0.6× 483 0.7× 411 6.2k
J. Zico Kolter United States 32 2.4k 1.4× 1.2k 1.2× 864 0.9× 985 1.1× 180 0.2× 108 5.4k
Tommy W. S. Chow Hong Kong 49 2.8k 1.6× 917 0.9× 2.3k 2.5× 574 0.7× 463 0.6× 275 7.5k
Nurhan Karaboğa Türkiye 19 1.5k 0.9× 592 0.6× 511 0.5× 435 0.5× 565 0.8× 56 3.2k
Bo Yang China 35 2.3k 1.4× 899 0.9× 510 0.5× 660 0.8× 130 0.2× 281 5.2k
Constantine Caramanis United States 30 615 0.4× 2.0k 2.1× 719 0.8× 377 0.4× 678 0.9× 120 5.2k
Anatoli Juditsky France 23 2.4k 1.4× 328 0.3× 1.7k 1.8× 201 0.2× 1.2k 1.6× 68 5.1k
Cesare Alippi Italy 43 2.9k 1.7× 1.9k 1.9× 995 1.1× 488 0.6× 123 0.2× 231 6.5k
Vladimir Stojanović Serbia 61 1.8k 1.1× 758 0.8× 3.2k 3.4× 317 0.4× 321 0.4× 87 6.9k
Caro Lucas Iran 34 2.4k 1.4× 1.2k 1.3× 1.4k 1.5× 351 0.4× 113 0.2× 181 6.2k

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
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Panda, Ganapati, et al.. (2025). Handwritten Amharic Character Recognition Through Transfer Learning: Integrating CNN Models and Machine Learning Classifiers. IEEE Access. 13. 52134–52148. 3 indexed citations
4.
Panda, Ganapati, et al.. (2024). A ResNet-101 deep learning framework induced transfer learning strategy for moving object detection. Image and Vision Computing. 146. 105021–105021. 10 indexed citations
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Pal, Madhumita, Smita Parija, & Ganapati Panda. (2024). An effective ensemble approach for classification of chest X-ray images having symptoms of COVID: A precautionary measure for the COVID-19 subvariants. SHILAP Revista de lepidopterología. 8. 100547–100547.
7.
Panda, Ganapati, et al.. (2024). An Improved VGG-19 Network Induced Enhanced Feature Pooling for Precise Moving Object Detection in Complex Video Scenes. IEEE Access. 12. 45847–45864. 24 indexed citations
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Swayamsiddha, Swati, et al.. (2023). Dynamic Spectrum Allocation in Cognitive Radar: A Brief Overview. 1–4. 1 indexed citations
10.
Mahanti, G. K., Ganapati Panda, Adyasha Rath, et al.. (2023). Comparative performance analysis of binary variants of FOX optimization algorithm with half-quadratic ensemble ranking method for thyroid cancer detection. Scientific Reports. 13(1). 19598–19598. 8 indexed citations
11.
Gupta, Manik, et al.. (2023). Data programming enabled weak supervised labeling for ECG time series. Biomedical Signal Processing and Control. 87. 105540–105540. 5 indexed citations
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Ghosh, Samit Kumar, R. N. Ponnalagu, Rajesh Kumar Tripathy, Ganapati Panda, & Ram Bilas Pachori. (2022). Automated Heart Sound Activity Detection From PCG Signal Using Time–Frequency-Domain Deep Neural Network. IEEE Transactions on Instrumentation and Measurement. 71. 1–10. 26 indexed citations
14.
Panda, Ganapati, et al.. (2021). Detection of COVID-19 from speech signal using bio-inspired based cepstral features. Pattern Recognition. 117. 107999–107999. 54 indexed citations
15.
Puhan, Niladri B., et al.. (2018). Automated retinal nerve fiber layer defect detection using fundus imaging in glaucoma. Computerized Medical Imaging and Graphics. 66. 56–65. 11 indexed citations
16.
Sahu, Sitanshu Sekhar & Ganapati Panda. (2010). Efficient Localization of Hot Spots in Proteins Using a Novel S-Transform Based Filtering Approach. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(5). 1235–1246. 23 indexed citations
17.
Panda, Ganapati, et al.. (2009). An efficient multi-objective pulse radar compression technique using RBF and NSGA-II. 1291–1296. 8 indexed citations
18.
Samantaray, Subhransu Ranjan, P.K. Dash, & Ganapati Panda. (2007). A combined S‐transform and fuzzy expert system for phase selection in digital relaying. European Transactions on Electrical Power. 18(5). 448–460. 4 indexed citations
19.
Samantaray, Subhransu Ranjan, Pramod K. Dash, & Ganapati Panda. (2006). Transmission Line Fault Detection Using Time-Frequency Analysis. 162–166. 12 indexed citations
20.
Patra, Jagdish C., Rajarshi Pal, Β.N. Chatterji, & Ganapati Panda. (1999). Identification of nonlinear dynamic systems using functional link artificial neural networks. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 29(2). 254–262. 281 indexed citations

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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