Naresh Kumar
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Plant Science
- Co-authors
- Nripendra Narayan DasDilbag SinghVijay KumarManjit KaurDeepali GuptaKamali GuptaShailendra TiwariManish Gupta
- Topics
- Web Data Mining and Analysis (11 papers)Forensic and Genetic Research (9 papers)COVID-19 diagnosis using AI (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- IndiaCanadaSaudi Arabia
In The Last Decade
Naresh Kumar
43 papers receiving 753 citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Radiology, Nuclear Medicine and Imaging 337
- Artificial Intelligence 336
- Computer Vision and Pattern Recognition 150
- Information Systems 85
- Plant Science 73
Countries citing papers authored by Naresh Kumar
This map shows the geographic impact of Naresh Kumar'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 Naresh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naresh Kumar more than expected).
Fields of papers citing papers by Naresh Kumar
This network shows the impact of papers produced by Naresh Kumar. 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 Naresh Kumar. The network helps show where Naresh Kumar may publish in the future.
Co-authorship network of co-authors of Naresh Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Naresh Kumar. A scholar is included among the top collaborators of Naresh Kumar 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 Naresh Kumar. Naresh Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | 30 | |
| 5 | 7 | |
| 6 | 60 | |
| 7 | 15 | |
| 8 | 99 | |
| 9 | 31 | |
| 10 | 1 | |
| 11 | Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-raysbreakdown → | 252 |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | Review on improving performance of Web Crawler and Search System Architecture | 2 |
| 16 | Effect of Inhibitors on the Blood taken from Earthy Surfaces and D.N.A. Profiling in Forensic Cases | 1 |
| 17 | A Meta Search Engine Approach for Organizing Web Search Results using Ranking and Clustering | 5 |
| 18 | 10 | |
| 19 | 4 | |
| 20 | A REVIEW ON DNA MICROARRAY TECHNOLOGY | 8 |
About Naresh Kumar
Naresh Kumar is a scholar working on Health Informatics, Information Systems and Genetics, having authored 46 papers that have together received 786 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (11 papers), Forensic and Genetic Research (9 papers) and COVID-19 diagnosis using AI (5 papers). The work is most often cited by research in Health Informatics (66 citations), Radiology, Nuclear Medicine and Imaging (337 citations) and Artificial Intelligence (336 citations). Naresh Kumar has collaborated with scholars based in India, Canada and Saudi Arabia. Frequent co-authors include Nripendra Narayan Das, Dilbag Singh, Vijay Kumar, Manjit Kaur, Deepali Gupta, Kamali Gupta, Shailendra Tiwari, Manish Gupta, Manjit Kaur and Manoj Gupta. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.