N. Arunkumar
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces 29
- Urban Studies top 0.5%
- Neurology top 2%
- Brain Tumor Detection and Classification 8
- Signal Processing top 1%
- Blind Source Separation Techniques 6
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- ECG Monitoring and Analysis 8
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- Fractal and DNA sequence analysis 6
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- Neuroscience and Neural Engineering 6
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- Drug Solubulity and Delivery Systems 5
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- Advanced DC-DC Converters 5
- Co-authors
- Gustavo Ramírez-GonzálezEnas AbdulhayMazin Abed MohammedU. Rajendra AcharyaMohd Khanapi Abd GhaniShu Lih OhVictor Hugo C. de AlbuquerqueYuki Hagiwara
- Journals
- Future Generation Computer Systems (13 papers)IEEE Access (11 papers)International Journal of Heavy Vehicle Systems (4 papers)
- Partner nations
- IndiaUnited StatesJordan
In The Last Decade
N. Arunkumar
103 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Cognitive Neuroscience 1.2k
- Urban Studies 339
- Neurology 469
- Signal Processing 493
- Computer Vision and Pattern Recognition 933
Countries citing papers authored by N. Arunkumar
This map shows the geographic impact of N. Arunkumar'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 N. Arunkumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Arunkumar more than expected).
Fields of papers citing papers by N. Arunkumar
This network shows the impact of papers produced by N. Arunkumar. 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 N. Arunkumar. The network helps show where N. Arunkumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside N. Arunkumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 55 | |
| 4 | 2022 | 13 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 19 | |
| 8 | 2019 | 1 | |
| 9 | 2019 | 1 | |
| 10 | 2018 | 38 | |
| 11 | Optimal deep learning model for classification of lung cancer on CT imagesbreakdown → | 2018 | 341 |
| 12 | 2018 | 64 | |
| 13 | 2016 | 32 | |
| 14 | 2015 | 31 | |
| 15 | Studies on methionine secreting micro-organisms from sago industrial wastes and standardization of growth parameters for maximum methionine secretion. | 2014 | 1 |
| 16 | Automatic detection of epileptic seizures using Independent Component Analysis Algorithm | 2012 | 15 |
| 17 | Sample entropy based ayurvedic pulse diagnosis for diabetics | 2012 | 16 |
| 18 | 2010 | 7 | |
| 19 | Preparation and in vitro characterization of Valsartan solid dispersions using skimmed milk powder as carrier. | 2009 | 20 |
| 20 | 2009 | 49 |
About N. Arunkumar
N. Arunkumar is a scholar working on Cognitive Neuroscience, Neurology, Signal Processing, Pharmaceutical Science and Cardiology and Cardiovascular Medicine, having authored 109 papers that have together received 5.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (29 papers), ECG Monitoring and Analysis (8 papers), Brain Tumor Detection and Classification (8 papers), Blind Source Separation Techniques (6 papers), Fractal and DNA sequence analysis (6 papers), Neuroscience and Neural Engineering (6 papers), Drug Solubulity and Delivery Systems (5 papers) and Advanced DC-DC Converters (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Urban Studies (339 citations), Neurology (469 citations), Signal Processing (493 citations) and Computer Vision and Pattern Recognition (933 citations). N. Arunkumar has collaborated with scholars based in India, United States and Jordan. Frequent co-authors include Gustavo Ramírez-González, Enas Abdulhay, Mazin Abed Mohammed, U. Rajendra Acharya, Mohd Khanapi Abd Ghani, Shu Lih Oh, Victor Hugo C. de Albuquerque, Yuki Hagiwara, Ammar Awad Mutlag and Othman Mohd. Their work appears in journals such as Future Generation Computer Systems, IEEE Access, International Journal of Heavy Vehicle Systems, Cognitive Systems Research and Computers & Electrical Engineering.
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.