Ishaani Priyadarshini
- Signal Processing top 5%
-
- IoT and Edge/Fog Computing 7
- Network Security and Intrusion Detection 6
- Artificial Intelligence top 2%
- Internet Traffic Analysis and Secure E-voting 5
- Sentiment Analysis and Opinion Mining 3
- Information Systems top 2%
- Blockchain Technology Applications and Security 5
- Software top 10%
-
- COVID-19 Pandemic Impacts 4
-
- Misinformation and Its Impacts 4
-
- Multi-Criteria Decision Making 3
- Co-authors
- Raghvendra KumarLê Hoàng SơnChase CottonVikram PuriRohit SharmaHoàng Việt LongHoang Viet LongSudan Jha
- Partner nations
- United StatesIndiaVietnam
In The Last Decade
Ishaani Priyadarshini
57 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 142
- Signal Processing 201
- Computer Networks and Communications 399
- Artificial Intelligence 513
- Information Systems 281
- Software 41
Countries citing papers authored by Ishaani Priyadarshini
This map shows the geographic impact of Ishaani Priyadarshini'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 Ishaani Priyadarshini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ishaani Priyadarshini more than expected).
Fields of papers citing papers by Ishaani Priyadarshini
This network shows the impact of papers produced by Ishaani Priyadarshini. 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 Ishaani Priyadarshini. The network helps show where Ishaani Priyadarshini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ishaani Priyadarshini, 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 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 11 | |
| 4 | 2024 | 23 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 15 | |
| 16 | 2022 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 8 | |
| 19 | 2021 | 21 | |
| 20 | 2020 | 40 |
About Ishaani Priyadarshini
Ishaani Priyadarshini is a scholar working on Computer Networks and Communications, Information Systems and Software, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Network Security and Intrusion Detection (6 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Blockchain Technology Applications and Security (5 papers), COVID-19 Pandemic Impacts (4 papers), Misinformation and Its Impacts (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Multi-Criteria Decision Making (3 papers). The work is most often cited by research in Signal Processing (201 citations), Computer Networks and Communications (399 citations) and Artificial Intelligence (513 citations). Ishaani Priyadarshini has collaborated with scholars based in United States, India and Vietnam. Frequent co-authors include Raghvendra Kumar, Lê Hoàng Sơn, Chase Cotton, Vikram Puri, Rohit Sharma, Hoàng Việt Long, Hoang Viet Long, Sudan Jha, Tong Anh Tuan and Mohamed Abdel‐Basset. Their work appears in journals such as IEEE Access, Applied Soft Computing and IEEE Sensors Journal.
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.