G. Jothi
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
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- Digital Imaging for Blood Diseases
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
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- Sentiment Analysis and Opinion Mining 2
- Advanced Text Analysis Techniques 2
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- Digital Imaging for Blood Diseases 2
- Co-authors
- Ahmad Taher Azar (6 shared papers)J. Akilandeswari (2 shared papers)Nashwa Ahmad Kamal (3 shared papers)Shrooq Alsenan (2 shared papers)Aboul Ella Hassanien (1 shared paper)Basit Qureshi (1 shared paper)Khaled M. Fouad (2 shared papers)Zafar Iqbal Khan (1 shared paper)
- Journals
- Electronics (3 papers)Applied Soft Computing (1 paper)International Journal on Semantic Web and Information Systems (1 paper)International Journal of Sociotechnology and Knowledge Development (2 papers)Journal of Computational and Theoretical Nanoscience (1 paper)
- Partner nations
- Saudi ArabiaEgyptIndia
In The Last Decade
G. Jothi
11 papers receiving 271 citations
Peers
Comparison fields: 5 of 65
- Neurology 62
- Computer Vision and Pattern Recognition 116
- Artificial Intelligence 140
- Health Informatics 5
- Health Information Management 13
Countries citing papers authored by G. Jothi
This map shows the geographic impact of G. Jothi'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 G. Jothi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Jothi more than expected).
Fields of papers citing papers by G. Jothi
This network shows the impact of papers produced by G. Jothi. 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 G. Jothi. The network helps show where G. Jothi may publish in the future.
Co-authors
The 19 scholars most cited alongside G. Jothi, 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 | 2016 | 127 | |
| 2 | 2020 | 59 | |
| 3 | 2022 | 32 | |
| 4 | 2018 | 22 | |
| 5 | 2023 | 20 | |
| 6 | 2020 | 15 | |
| 7 | 2021 | 7 | |
| 8 | 2020 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 2 | |
| 11 | 2015 | 1 | |
| 12 | 2024 | 0 |
About G. Jothi
G. Jothi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 12 papers that have together received 291 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (3 papers), Digital Imaging for Blood Diseases (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Advanced Text Analysis Techniques (2 papers), Machine Learning in Bioinformatics (2 papers), COVID-19 diagnosis using AI (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Neurology (62 citations), Computer Vision and Pattern Recognition (116 citations), Artificial Intelligence (140 citations), Health Informatics (5 citations) and Health Information Management (13 citations). G. Jothi has collaborated with scholars based in Saudi Arabia, Egypt and India. Frequent co-authors include Ahmad Taher Azar, J. Akilandeswari, Nashwa Ahmad Kamal, Shrooq Alsenan, Aboul Ella Hassanien, Basit Qureshi, Khaled M. Fouad, Zafar Iqbal Khan, H. Hannah Inbarani and Suliman Mohamed Fati. Their work appears in journals such as Electronics, Applied Soft Computing, International Journal on Semantic Web and Information Systems, International Journal of Sociotechnology and Knowledge Development and Journal of Computational and Theoretical Nanoscience.
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.