Arpit Kumar Sharma
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
-
- Advanced Neural Network Applications
- Digital Imaging for Blood Diseases
Papers in
-
- Brain Tumor Detection and Classification 7
-
- Advanced Neural Network Applications 3
- Digital Imaging for Blood Diseases 2
- Co-authors
- Abhishek KumarAshutosh Kumar DubeyVicente García‐DíazArvind DhakaAmita NandalFayadh AleneziKemal PolatAdi Alhudhaif
- Journals
- Biomedical Signal Processing and Control (3 papers)Scientific Reports (1 paper)International Journal of Biological Macromolecules (1 paper)Fuel (1 paper)International Journal of Hydrogen Energy (1 paper)
- Partner nations
- IndiaTürkiyeSaudi Arabia
In The Last Decade
Arpit Kumar Sharma
19 papers receiving 371 citations
Peers
Comparison fields: 5 of 87
- Neurology 105
- Computer Vision and Pattern Recognition 95
- Management Science and Operations Research 50
- Artificial Intelligence 97
- Building and Construction 32
Countries citing papers authored by Arpit Kumar Sharma
This map shows the geographic impact of Arpit Kumar Sharma'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 Arpit Kumar Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arpit Kumar Sharma more than expected).
Fields of papers citing papers by Arpit Kumar Sharma
This network shows the impact of papers produced by Arpit Kumar Sharma. 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 Arpit Kumar Sharma. The network helps show where Arpit Kumar Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Arpit Kumar Sharma, 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 | 2025 | 6 | |
| 3 | 2025 | 6 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 67 | |
| 12 | 2023 | 43 | |
| 13 | 2023 | 0 | |
| 14 | 2022 | 0 | |
| 15 | 2022 | 1 | |
| 16 | 2022 | 3 | |
| 17 | 2021 | 21 | |
| 18 | 2020 | 12 | |
| 19 | CRACKED CRICKET PITCH ANALYSIS (CCPA) USING IMAGE PROCESSING AND MACHINE LEARNING | 2019 | 11 |
| 20 | Requirements Quality Assessment for Outsourcing | 2009 | 2 |
About Arpit Kumar Sharma
Arpit Kumar Sharma is a scholar working on Neurology, Computer Vision and Pattern Recognition, Energy Engineering and Power Technology, Building and Construction and Instrumentation, having authored 29 papers that have together received 386 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (7 papers), COVID-19 diagnosis using AI (4 papers), AI in cancer detection (3 papers), Anaerobic Digestion and Biogas Production (3 papers), Advanced Neural Network Applications (3 papers), Biofuel production and bioconversion (3 papers), Digital Imaging for Blood Diseases (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Neurology (105 citations), Computer Vision and Pattern Recognition (95 citations), Management Science and Operations Research (50 citations), Artificial Intelligence (97 citations) and Building and Construction (32 citations). Arpit Kumar Sharma has collaborated with scholars based in India, Türkiye and Saudi Arabia. Frequent co-authors include Abhishek Kumar, Ashutosh Kumar Dubey, Vicente García‐Díaz, Arvind Dhaka, Amita Nandal, Fayadh Alenezi, Kemal Polat, Adi Alhudhaif, Liang Zhou and Sachin Raut. Their work appears in journals such as Biomedical Signal Processing and Control, Scientific Reports, International Journal of Biological Macromolecules, Fuel and International Journal of Hydrogen Energy.
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.