Nitish Pathak
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Information Systems
- Ophthalmology
- Co-authors
- Shabana UroojNeelam SharmaAmit ChoudharySavita AhlawatA. Lay-EkuakilleGirish SharmaLalitha KrishnasamyS. Suchitra
- Topics
- COVID-19 diagnosis using AI (5 papers)Service-Oriented Architecture and Web Services (4 papers)Web Applications and Data Management (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessWireless Communications and Mobile Computing
- Partner nations
- IndiaSaudi ArabiaItaly
In The Last Decade
Nitish Pathak
27 papers receiving 166 citations
Peers
Comparison fields: 5 of 67
- Radiology, Nuclear Medicine and Imaging 59
- Artificial Intelligence 48
- Computer Vision and Pattern Recognition 35
- Information Systems 27
- Ophthalmology 22
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-authorship network of co-authors of Nitish Pathak
This figure shows the co-authorship network connecting the top 25 collaborators of Nitish Pathak. A scholar is included among the top collaborators of Nitish Pathak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nitish Pathak. Nitish Pathak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 41 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 15 | |
| 15 | Trends and Augmentations of Cloud Computing | 5 |
| 16 | 3 | |
| 17 | UML 2.0 BASED ROUND TRIP ENGINEERING FRAMEWORK FOR THE DEVELOPMENT OF SPF BASED SECURE APPLICATION | 1 |
| 18 | 1 | |
| 19 | Designing of SPF based secure web application using forward engineering | 1 |
| 20 | 2 |
About Nitish Pathak
Nitish Pathak is a scholar working on Health Informatics, Information Systems and Computer Networks and Communications, 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) and Web Applications and Data Management (3 papers). The work is most often cited by research in Health Informatics (4 citations), Health Information Management (12 citations) and Radiology, Nuclear Medicine and Imaging (59 citations). Nitish Pathak has collaborated with scholars based in India, Saudi Arabia and Italy. 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 SHILAP Revista de lepidopterología, IEEE Access and Wireless Communications and Mobile 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.