Deepika Saxena
- Information Systems top 1%
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Building and Construction top 10%
- Co-authors
- Ashutosh Kumar SinghIshu GuptaJitendra KumarRishabh GuptaChung‐Nan LeeRajkumar BuyyaXiaoqing WenVrinda Gupta
- Topics
- Cloud Computing and Resource Management (32 papers)IoT and Edge/Fog Computing (17 papers)Blockchain Technology Applications and Security (13 papers)
In The Last Decade
Deepika Saxena
74 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 79
- Information Systems 700
- Computer Networks and Communications 549
- Artificial Intelligence 324
- Electrical and Electronic Engineering 102
- Building and Construction 89
Countries citing papers authored by Deepika Saxena
This map shows the geographic impact of Deepika Saxena'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 Deepika Saxena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepika Saxena more than expected).
Fields of papers citing papers by Deepika Saxena
This network shows the impact of papers produced by Deepika Saxena. 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 Deepika Saxena. The network helps show where Deepika Saxena may publish in the future.
Co-authorship network of co-authors of Deepika Saxena
This figure shows the co-authorship network connecting the top 25 collaborators of Deepika Saxena. A scholar is included among the top collaborators of Deepika Saxena 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 Deepika Saxena. Deepika Saxena 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 25 | |
| 15 | 0 | |
| 16 | 67 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | In vitro antagonistic assessment of T. Harzianum PBT 23 against plant pathogenic fungi | 3 |
| 20 | The in vitro Effect of Some Commonly Used Fungicides, Insecticides and Herbicides for Their Compatibility with Trichoderma harzianum PBT23 | 12 |
About Deepika Saxena
Deepika Saxena is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence, having authored 83 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (32 papers), IoT and Edge/Fog Computing (17 papers) and Blockchain Technology Applications and Security (13 papers). The work is most often cited by research in Information Systems (700 citations), Computer Networks and Communications (549 citations) and Artificial Intelligence (324 citations). Deepika Saxena has collaborated with scholars based in India, Japan and Taiwan. Frequent co-authors include Ashutosh Kumar Singh, Ishu Gupta, Jitendra Kumar, Rishabh Gupta, Chung‐Nan Lee, Rajkumar Buyya, Xiaoqing Wen, Vrinda Gupta, Anand Mohan and Stefan Schmid. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports 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.