Nitish Pathak
Impact in
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- Artificial Intelligence in Healthcare
Papers in
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- Service-Oriented Architecture and Web Services 4
- Web Applications and Data Management 3
- Cloud Computing and Resource Management 3
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- IoT and Edge/Fog Computing 3
- Co-authors
- Shabana Urooj (6 shared papers)Neelam Sharma (3 shared papers)Neelam Sharma (9 shared papers)Amit Choudhary (1 shared paper)Savita Ahlawat (1 shared paper)A. Lay-Ekuakille (1 shared paper)Girish Sharma (6 shared papers)Lalitha Krishnasamy (1 shared paper)
- Journals
- Computers, materials & continua/Computers, materials & continua (Print) (3 papers)IEEE Access (2 papers)Computer Modeling in Engineering & Sciences (1 paper)Wireless Communications and Mobile Computing (1 paper)Intelligent Automation & Soft Computing (3 papers)
- Partner nations
- IndiaSaudi ArabiaSouth Korea
In The Last Decade
Nitish Pathak
27 papers receiving 166 citations
Peers
Comparison fields: 5 of 67
- Health Informatics 4
- Health Information Management 12
- Radiology, Nuclear Medicine and Imaging 59
- Ophthalmology 22
- Computer Vision and Pattern Recognition 35
Countries citing papers authored by Nitish Pathak
This map shows the geographic impact of Nitish Pathak'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 Nitish Pathak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitish Pathak more than expected).
Fields of papers citing papers by Nitish Pathak
This network shows the impact of papers produced by Nitish Pathak. 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 Nitish Pathak. The network helps show where Nitish Pathak may publish in the future.
Co-authors
The 25 scholars most cited alongside Nitish Pathak, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 41 | |
| 2 | 2022 | 27 | |
| 3 | 2021 | 15 | |
| 4 | 2024 | 13 | |
| 5 | 2021 | 8 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 7 | |
| 8 | 2023 | 6 | |
| 9 | Trends and Augmentations of Cloud Computing | 2019 | 5 |
| 10 | 2023 | 5 | |
| 11 | 2022 | 5 | |
| 12 | 2017 | 5 | |
| 13 | 2015 | 4 | |
| 14 | 2014 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2019 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2015 | 2 |
About Nitish Pathak
Nitish Pathak is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 181 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (5 papers), Service-Oriented Architecture and Web Services (4 papers), Web Applications and Data Management (3 papers), IoT and Edge/Fog Computing (3 papers), Cloud Computing and Resource Management (3 papers), Advanced Malware Detection Techniques (3 papers), Advanced Neural Network Applications (2 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Health Informatics (4 citations), Health Information Management (12 citations), Radiology, Nuclear Medicine and Imaging (59 citations), Ophthalmology (22 citations) and Computer Vision and Pattern Recognition (35 citations). Nitish Pathak has collaborated with scholars based in India, Saudi Arabia and South Korea. Frequent co-authors include Shabana Urooj, Neelam Sharma, Neelam Sharma, Amit Choudhary, Savita Ahlawat, A. Lay-Ekuakille, Girish Sharma, Lalitha Krishnasamy, S. Suchitra and Shams Tabrez Siddiqui. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), IEEE Access, Computer Modeling in Engineering & Sciences, Wireless Communications and Mobile Computing and Intelligent Automation & Soft Computing.
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.