Anisha Kumari
- Molecular Biology
- Food Science
- Artificial Intelligence
- Computer Networks and Communications
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Ranjan Kumar BeheraBibhudatta SahooDiwas PradhanGaurav Kr DeshwalSaurabh KadyanKshira Sagar SahooAnand NayyarAshish Kr. Luhach
- Topics
- Cloud Computing and Resource Management (9 papers)IoT and Edge/Fog Computing (6 papers)Distributed and Parallel Computing Systems (4 papers)
- Partner nations
- IndiaSwitzerlandIraq
In The Last Decade
Anisha Kumari
18 papers receiving 204 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 65
- Food Science 60
- Artificial Intelligence 51
- Computer Networks and Communications 45
- Statistical and Nonlinear Physics 41
Countries citing papers authored by Anisha Kumari
This map shows the geographic impact of Anisha Kumari'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 Anisha Kumari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anisha Kumari more than expected).
Fields of papers citing papers by Anisha Kumari
This network shows the impact of papers produced by Anisha Kumari. 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 Anisha Kumari. The network helps show where Anisha Kumari may publish in the future.
Co-authorship network of co-authors of Anisha Kumari
This figure shows the co-authorship network connecting the top 25 collaborators of Anisha Kumari. A scholar is included among the top collaborators of Anisha Kumari 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 Anisha Kumari. Anisha Kumari 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 35 | |
| 11 | 0 | |
| 12 | 12 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 18 | |
| 17 | 7 | |
| 18 | BACTERIOLOGICAL PROFILE OF NEONATAL SEPSIS AND ANTIBIOGRAM PATTERN OF THE ISOLATES IN NATIONAL MEDICAL COLLEGE AND TEACHING HOSPITAL, BIRGUNJ. | 1 |
| 19 | 11 | |
| 20 | Biological standardization of some polyherbal formulations for antacid activity | 1 |
About Anisha Kumari
Anisha Kumari is a scholar working on Information Systems, Computer Networks and Communications and Radiological and Ultrasound Technology, having authored 29 papers that have together received 213 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (9 papers), IoT and Edge/Fog Computing (6 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (41 citations), Food Science (60 citations) and Computer Networks and Communications (45 citations). Anisha Kumari has collaborated with scholars based in India, Switzerland and Iraq. Frequent co-authors include Ranjan Kumar Behera, Bibhudatta Sahoo, Diwas Pradhan, Gaurav Kr Deshwal, Saurabh Kadyan, Kshira Sagar Sahoo, Anand Nayyar, Ashish Kr. Luhach, Sunita Grover and Archita Gupta. Their work appears in journals such as Scientific Reports, Journal of Cell Science and IEEE Access.
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.