Deepika Saxena
- Information Systems top 1%
- Cloud Computing and Resource Management 32
- Blockchain Technology Applications and Security 13
- Cloud Data Security Solutions 9
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- IoT and Edge/Fog Computing 17
- Caching and Content Delivery 6
- Network Security and Intrusion Detection 5
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data 8
- Signal Processing top 10%
- Building and Construction top 10%
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- Energy Load and Power Forecasting 5
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
- Signal Processing 72
- 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
The 25 scholars most cited alongside Deepika Saxena, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 3 | |
| 8 | 2024 | 8 | |
| 9 | 2024 | 10 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 13 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 4 | |
| 14 | 2023 | 25 | |
| 15 | 2023 | 0 | |
| 16 | 2021 | 67 | |
| 17 | 2021 | 4 | |
| 18 | 2019 | 1 | |
| 19 | In vitro antagonistic assessment of T. Harzianum PBT 23 against plant pathogenic fungi | 2017 | 3 |
| 20 | The in vitro Effect of Some Commonly Used Fungicides, Insecticides and Herbicides for Their Compatibility with Trichoderma harzianum PBT23 | 2014 | 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), Blockchain Technology Applications and Security (13 papers), Cloud Data Security Solutions (9 papers), Privacy-Preserving Technologies in Data (8 papers), Caching and Content Delivery (6 papers), Energy Load and Power Forecasting (5 papers) and Network Security and Intrusion Detection (5 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.