Ashok Ghatol

1.3k citations
73 papers · 884 indexed · h-index 16
Topics
ECG Monitoring and Analysis (14 papers)Neural Networks and Applications (13 papers)EEG and Brain-Computer Interfaces (10 papers)
Partner nations
IndiaIreland

In The Last Decade

Ashok Ghatol

67 papers receiving 771 citations

Peers

Ashok Ghatol
Comparison fields: 5 of 104
  • Artificial Intelligence 331
  • Cardiology and Cardiovascular Medicine 247
  • Health Information Management 222
  • Cognitive Neuroscience 145
  • Computer Vision and Pattern Recognition 138
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Citations per field
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Citations per year

Countries citing papers authored by Ashok Ghatol

Since Specialization
Citations

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

Fields of papers citing papers by Ashok Ghatol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashok Ghatol

This figure shows the co-authorship network connecting the top 25 collaborators of Ashok Ghatol. A scholar is included among the top collaborators of Ashok Ghatol 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 Ghatol. Ashok Ghatol 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
#WorkIndexed citations
1 3
2 1
3
SPIHT: Highly Efficient Technique for Image Transmission and Coding
0
4 4
5
Heart Disease Diagnosis using Support Vector Machine
55
6
Generalized Feedforward Neural Network based cardiac arrhythmia classification from ECG signal data
20
7 1
8 6
9 4
10
Analysis of discrete wavelet based image compression technique: A review
2
11 8
12
A reduced complexity MIMO system with antenna selection for high data rate wireless communications
3
13 16
14 3
15
Survey of interharmonics in Indian power system network
8
16
Power quality survey of 33KV indian industrial supply system: Results and remedial actions
13
17
Iris recognition: an emerging biometric technology
54
18
Breast cancer malignancy identification using self-organizing map
5
19
Image compression using wavelet packet tree based on threshold entropy
4
20 0

About Ashok Ghatol

Ashok Ghatol is a scholar working on Health Information Management, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 73 papers that have together received 884 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (14 papers), Neural Networks and Applications (13 papers) and EEG and Brain-Computer Interfaces (10 papers). The work is most often cited by research in Health Information Management (222 citations), Cardiology and Cardiovascular Medicine (247 citations) and Artificial Intelligence (331 citations). Ashok Ghatol has collaborated with scholars based in India and Ireland. Frequent co-authors include Swati Shilaskar, Sanjay L. Nalbalwar, Shivajirao M. Jadhav, Sudhir Sawarkar, Rajesh Ghongade, V. M. Thakare, Priti P. Rege, G. K. Kharate, Sanjay V. Dudul and P.R. Deshmukh. Their work appears in journals such as Expert Systems with Applications, Information Sciences and Soft Computing.

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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