Ashok Kumar Patel

804 total citations
22 papers, 605 citations indexed

About

Ashok Kumar Patel is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ashok Kumar Patel has authored 22 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistical and Nonlinear Physics, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Ashok Kumar Patel's work include stochastic dynamics and bifurcation (11 papers), Mineral Processing and Grinding (8 papers) and Neural dynamics and brain function (7 papers). Ashok Kumar Patel is often cited by papers focused on stochastic dynamics and bifurcation (11 papers), Mineral Processing and Grinding (8 papers) and Neural dynamics and brain function (7 papers). Ashok Kumar Patel collaborates with scholars based in United States, India and Australia. Ashok Kumar Patel's co-authors include Bart Kosko, Snehamoy Chatterjee, Amit Kumar Gorai, Simit Raval, Akash Kumar Bhoi, Santosh Kumar Satapathy, Paolo Barsocchi and Rudra Kalyan Nayak and has published in prestigious journals such as IEEE Transactions on Signal Processing, Neural Networks and IEEE Signal Processing Letters.

In The Last Decade

Ashok Kumar Patel

21 papers receiving 591 citations

Peers

Ashok Kumar Patel

SNP

CNC

SPU

Colin C. Olson United States

Qianli Liao United States

Dongying Han China

Eric Hartman United States

Anita Faul United Kingdom

Patrick Gallinari France

Zhong Liu China

L.F. Yeung Hong Kong

Walter J. Karplus United States

Colin C. Olson United States

Ashok Kumar Patel

67 ×0.3

SNP

94 ×0.6

41 ×0.3

34 ×0.3

CNC

51 ×0.6

SPU

Citations per year, relative to Ashok Kumar Patel Ashok Kumar Patel (= 1×) peers Colin C. Olson

Countries citing papers authored by Ashok Kumar Patel

Since Specialization

Citations

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

Fields of papers citing papers by Ashok Kumar Patel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashok Kumar Patel. 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 Ashok Kumar Patel. The network helps show where Ashok Kumar Patel may publish in the future.

Co-authorship network of co-authors of Ashok Kumar Patel

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

All Works

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20 of 20 papers shown

Nayak, Rudra Kalyan, et al.. (2024). Alzheimer’s Disease Detection via Multiscale Feature Modelling Using Improved Spatial Attention Guided Depth Separable CNN. International Journal of Computational Intelligence Systems. 17(1). 4 indexed citations

Gorai, Amit Kumar, et al.. (2020). Design and development of a machine vision system using artificial neural network-based algorithm for automated coal characterization. International Journal of Coal Science & Technology. 8(4). 737–755. 19 indexed citations

Patel, Ashok Kumar, Snehamoy Chatterjee, & Amit Kumar Gorai. (2019). Effect on the Performance of a Support Vector Machine Based Machine Vision System with Dry and Wet Ore Sample Images in Classification and Grade Prediction. Pattern Recognition and Image Analysis. 29(2). 309–324. 13 indexed citations

Patel, Ashok Kumar, Snehamoy Chatterjee, & Amit Kumar Gorai. (2018). Development of an expert system for iron ore classification. Arabian Journal of Geosciences. 11(15). 11 indexed citations

Patel, Ashok Kumar, Snehamoy Chatterjee, & Amit Kumar Gorai. (2018). Development of a machine vision system using the support vector machine regression (SVR) algorithm for the online prediction of iron ore grades. Earth Science Informatics. 12(2). 197–210. 48 indexed citations

Patel, Ashok Kumar, Snehamoy Chatterjee, & Amit Kumar Gorai. (2017). Development of online machine vision system using support vector regression (SVR) algorithm for grade prediction of iron ores. 149–152. 9 indexed citations

Patel, Ashok Kumar, Snehamoy Chatterjee, & Amit Kumar Gorai. (2017). Development of machine vision-based ore classification model using support vector machine (SVM) algorithm. Arabian Journal of Geosciences. 10(5). 56 indexed citations

Patel, Ashok Kumar, et al.. (2017). Elliptic Curve Cryptography for Securing Encoded Media Storage on Cloud. International Journal of Computer Applications. 177(4). 29–31. 1 indexed citations

Gorai, Amit Kumar, et al.. (2017). Reliability analysis of the main conveyor system in underground coal mine to determine the maintenance schedules. International Journal of Mining and Mineral Engineering. 8(3). 207–207. 3 indexed citations

10.

Patel, Ashok Kumar & Snehamoy Chatterjee. (2014). Computer vision-based limestone rock-type classification using probabilistic neural network. Geoscience Frontiers. 7(1). 53–60. 84 indexed citations

11.

Patel, Ashok Kumar & Bart Kosko. (2010). Optimal Mean-Square Noise Benefits in Quantizer-Array Linear Estimation. IEEE Signal Processing Letters. 17(12). 1005–1009. 35 indexed citations

12.

Patel, Ashok Kumar & Bart Kosko. (2010). Noise Benefits in Quantizer-Array Correlation Detection and Watermark Decoding. IEEE Transactions on Signal Processing. 59(2). 488–505. 56 indexed citations

13.

Patel, Ashok Kumar & Bart Kosko. (2009). Error-probability noise benefits in threshold neural signal detection. Neural Networks. 22(5-6). 697–706. 20 indexed citations

14.

Patel, Ashok Kumar & Bart Kosko. (2009). Quantizer noise benefits in nonlinear signal detection with alpha-stable channel noise. 83. 3269–3272. 2 indexed citations

15.

Patel, Ashok Kumar & Bart Kosko. (2009). Optimal Noise Benefits in Neyman–Pearson and Inequality-Constrained Statistical Signal Detection. IEEE Transactions on Signal Processing. 57(5). 1655–1669. 92 indexed citations

16.

Patel, Ashok Kumar & Bart Kosko. (2008). Optimal noise benefits in Neyman-Pearson signal detection. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 3889–3892. 6 indexed citations

17.

Patel, Ashok Kumar & Bart Kosko. (2008). Stochastic Resonance in Continuous and Spiking Neuron Models With Levy Noise. IEEE Transactions on Neural Networks. 19(12). 1993–2008. 97 indexed citations

18.

Patel, Ashok Kumar & Bart Kosko. (2006). Mutual-Information Noise Benefits in Brownian Models of Continuous and Spiking Neurons. The 2006 IEEE International Joint Conference on Neural Network Proceedings. i iii. 1368–1375. 3 indexed citations

19.

Patel, Ashok Kumar & Bart Kosko. (2006). Noise benefits in spiking retinal and sensory neuron models. Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.. 2. 410–415.

20.

Patel, Ashok Kumar & Bart Kosko. (2005). Stochastic resonance in noisy spiking retinal and sensory neuron models. Neural Networks. 18(5-6). 467–478. 39 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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