Arpit Kumar Sharma
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
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- Advanced Neural Network Applications
Papers in
-
- Advanced Neural Network Applications 3
- Digital Imaging for Blood Diseases 2
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- Brain Tumor Detection and Classification 7
- Co-authors
- Abhishek Kumar (3 shared papers)Ashutosh Kumar Dubey (1 shared paper)Vicente García‐Díaz (1 shared paper)Arvind Dhaka (9 shared papers)Amita Nandal (7 shared papers)Kemal Polat (3 shared papers)Adi Alhudhaif (3 shared papers)Fayadh Alenezi (2 shared papers)
- Journals
- Biomedical Signal Processing and Control (3 papers)Scientific Reports (2 papers)Wireless Communications and Mobile Computing (1 paper)International Journal of Hydrogen Energy (1 paper)Archives of Microbiology (1 paper)
- Partner nations
- IndiaTürkiyeSaudi Arabia
In The Last Decade
Arpit Kumar Sharma
21 papers receiving 418 citations
Arpit Kumar Sharma's Hit Papers
Peers
Comparison fields: 5 of 91
- Neurology 116
- Computer Vision and Pattern Recognition 95
- Management Science and Operations Research 52
- Artificial Intelligence 98
- Building and Construction 34
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
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Study and analysis of SARIMA and LSTM in forecasting time series data Hit paper breakdown → | 2021 | 200 |
| 2 | 2023 | 76 | |
| 3 | 2023 | 47 | |
| 4 | 2021 | 23 | |
| 5 | 2020 | 14 | |
| 6 | CRACKED CRICKET PITCH ANALYSIS (CCPA) USING IMAGE PROCESSING AND MACHINE LEARNING | 2019 | 11 |
| 7 | 2021 | 10 | |
| 8 | 2025 | 9 | |
| 9 | 2025 | 7 | |
| 10 | 2025 | 6 | |
| 11 | 2025 | 4 | |
| 12 | 2017 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2022 | 2 | |
| 16 | Requirements Quality Assessment for Outsourcing | 2009 | 2 |
| 17 | 2025 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 1 |
About Arpit Kumar Sharma
Arpit Kumar Sharma is a scholar working on Computer Vision and Pattern Recognition, Neurology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 31 papers that have together received 428 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (7 papers), COVID-19 diagnosis using AI (4 papers), Anaerobic Digestion and Biogas Production (3 papers), Advanced Neural Network Applications (3 papers), AI in cancer detection (3 papers), Biofuel production and bioconversion (3 papers), Digital Imaging for Blood Diseases (2 papers) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Neurology (116 citations), Computer Vision and Pattern Recognition (95 citations), Management Science and Operations Research (52 citations), Artificial Intelligence (98 citations) and Building and Construction (34 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, Kemal Polat, Adi Alhudhaif, Fayadh Alenezi, Liang Zhou and Sachin Raut. Their work appears in journals such as Biomedical Signal Processing and Control, Scientific Reports, Wireless Communications and Mobile Computing, International Journal of Hydrogen Energy and Archives of Microbiology.
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.