Jimmy Singla
- Health Informatics top 5%
-
- Artificial Intelligence in Healthcare 18
- Information Systems top 5%
- Cloud Computing and Resource Management 6
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques 5
- Natural Language Processing Techniques 5
- Signal Processing top 10%
-
- Digital Imaging for Blood Diseases 6
- Image and Signal Denoising Methods 6
-
- IoT and Edge/Fog Computing 6
-
- COVID-19 diagnosis using AI 5
- Co-authors
- Nikita NikitaDeepak PrasharN. Z. JhanjhiSudan JhaGyanendra Prasad JoshiSahil VermaShaker El–SappaghMd. Saiful Islam
- Journals
- Computers, materials & continua/Computers, materials & continua (Print) (7 papers)IEEE Access (3 papers)Journal of Intelligent & Fuzzy Systems (3 papers)
- Partner nations
- IndiaSaudi ArabiaSouth Korea
In The Last Decade
Jimmy Singla
60 papers receiving 741 citations
Peers
Comparison fields: 5 of 121
- Health Informatics 37
- Health Information Management 107
- Information Systems 227
- Artificial Intelligence 274
- Signal Processing 58
Countries citing papers authored by Jimmy Singla
This map shows the geographic impact of Jimmy Singla'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 Jimmy Singla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jimmy Singla more than expected).
Fields of papers citing papers by Jimmy Singla
This network shows the impact of papers produced by Jimmy Singla. 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 Jimmy Singla. The network helps show where Jimmy Singla may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jimmy Singla, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 26 | |
| 4 | 2022 | 11 | |
| 5 | 2022 | 26 | |
| 6 | 2022 | 1 | |
| 7 | A Multi-layered Fuzzy Inference System for the Diagnosis of Hepatitis B | 2021 | 0 |
| 8 | 2021 | 3 | |
| 9 | 2021 | 7 | |
| 10 | 2020 | 15 | |
| 11 | 2020 | 45 | |
| 12 | 2020 | 7 | |
| 13 | 2020 | 7 | |
| 14 | 2020 | 125 | |
| 15 | 2020 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2019 | 3 | |
| 18 | BIG DATA: FRAMEWORKS AND CHALLENGES | 2018 | 1 |
| 19 | 2017 | 0 | |
| 20 | A systematic way of Affine Transformation using Image Registration | 2004 | 2 |
About Jimmy Singla
Jimmy Singla is a scholar working on Health Information Management, Artificial Intelligence and Health Informatics, having authored 63 papers that have together received 809 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (18 papers), Digital Imaging for Blood Diseases (6 papers), IoT and Edge/Fog Computing (6 papers), Cloud Computing and Resource Management (6 papers), Image and Signal Denoising Methods (6 papers), Imbalanced Data Classification Techniques (5 papers), Natural Language Processing Techniques (5 papers) and COVID-19 diagnosis using AI (5 papers). The work is most often cited by research in Health Informatics (37 citations), Health Information Management (107 citations) and Information Systems (227 citations). Jimmy Singla has collaborated with scholars based in India, Saudi Arabia and South Korea. Frequent co-authors include Nikita Nikita, Deepak Prashar, N. Z. Jhanjhi, Sudan Jha, Gyanendra Prasad Joshi, Sahil Verma, Shaker El–Sappagh, Md. Saiful Islam, S. M. Riazul Islam and Lewis Nkenyereye. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), IEEE Access, Journal of Intelligent & Fuzzy Systems, Electronics and Indian Journal of Science and Technology.
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.