Anand Kumar
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
-
- Advanced Database Systems and Queries 4
- Advanced Data Storage Technologies 4
- IoT and Edge/Fog Computing 3
-
- Mobile and Web Applications 2
- Co-authors
- Chinmay Chakraborty (1 shared paper)Amit Banerjee (1 shared paper)Yi-Cheng Tu (8 shared papers)Di Yu (2 shared papers)Hao Li (1 shared paper)N. Anusha (1 shared paper)Xingquan Zhu (3 shared papers)Sagar Pandit (3 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (2 papers)Journal Of Big Data (1 paper)Atmospheric Pollution Research (1 paper)Applied Optics (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- IndiaUnited StatesUnited Arab Emirates
In The Last Decade
Anand Kumar
29 papers receiving 276 citations
Peers
Comparison fields: 5 of 73
- Health Informatics 8
- Health Information Management 20
- Computer Networks and Communications 86
- Hardware and Architecture 25
- Information Systems 79
Countries citing papers authored by Anand Kumar
This map shows the geographic impact of Anand 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 Anand Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anand Kumar more than expected).
Fields of papers citing papers by Anand Kumar
This network shows the impact of papers produced by Anand 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 Anand Kumar. The network helps show where Anand Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Anand Kumar, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 103 | |
| 2 | 2014 | 32 | |
| 3 | 2020 | 22 | |
| 4 | 2016 | 16 | |
| 5 | 2023 | 14 | |
| 6 | 2014 | 14 | |
| 7 | 2017 | 13 | |
| 8 | 2019 | 13 | |
| 9 | 2013 | 10 | |
| 10 | 2013 | 10 | |
| 11 | 2014 | 7 | |
| 12 | 2023 | 5 | |
| 13 | 2014 | 4 | |
| 14 | 2018 | 4 | |
| 15 | 2017 | 4 | |
| 16 | 2012 | 4 | |
| 17 | 2014 | 4 | |
| 18 | 2015 | 4 | |
| 19 | Implementation Issues and Analysis of Cryptographic Algorithms based on different Security Parameters | 2015 | 3 |
| 20 | 2010 | 2 |
About Anand Kumar
Anand Kumar is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 33 papers that have together received 302 indexed citations. Recurring topics across this work include Data Management and Algorithms (4 papers), Advanced Database Systems and Queries (4 papers), Advanced Data Storage Technologies (4 papers), IoT and Edge/Fog Computing (3 papers), Algorithms and Data Compression (3 papers), Advanced Steganography and Watermarking Techniques (2 papers), Scientific Computing and Data Management (2 papers) and Mobile and Web Applications (2 papers). The work is most often cited by research in Health Informatics (8 citations), Health Information Management (20 citations), Computer Networks and Communications (86 citations), Hardware and Architecture (25 citations) and Information Systems (79 citations). Anand Kumar has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Chinmay Chakraborty, Amit Banerjee, Yi-Cheng Tu, Di Yu, Hao Li, N. Anusha, Xingquan Zhu, Sagar Pandit, Bivas Mitra and Dev S. Pathak. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Journal Of Big Data, Atmospheric Pollution Research, Applied Optics and Lecture notes in computer science.
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.