Lipsa Das
Impact in
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- Cell Adhesion Molecules Research
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- Brain Tumor Detection and Classification
Papers in
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- IoT and Edge/Fog Computing 5
- Network Security and Intrusion Detection 5
- Energy Efficient Wireless Sensor Networks 3
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- Spam and Phishing Detection 4
- Blockchain Technology Applications and Security 3
- Co-authors
- Smita Sharma (5 shared papers)Suman Avdhesh Yadav (5 shared papers)Raymond B. Nagle (3 shared papers)Jaime M.C. Gard (3 shared papers)Anne E. Cress (3 shared papers)Manorama Patri (2 shared papers)Joann B. Sweasy (2 shared papers)Isis C. Sroka (2 shared papers)
- Journals
- Journal of Cellular Biochemistry (3 papers)DNA repair (2 papers)PLoS ONE (2 papers)Toxicology Reports (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Lipsa Das
42 papers receiving 415 citations
Peers
Comparison fields: 5 of 111
- Immunology and Allergy 23
- Neurology 31
- Software 14
- Information Systems 66
- Signal Processing 29
Countries citing papers authored by Lipsa Das
This map shows the geographic impact of Lipsa Das'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 Lipsa Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lipsa Das more than expected).
Fields of papers citing papers by Lipsa Das
This network shows the impact of papers produced by Lipsa Das. 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 Lipsa Das. The network helps show where Lipsa Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Lipsa Das, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 51 | |
| 2 | 2021 | 35 | |
| 3 | 2020 | 33 | |
| 4 | 2019 | 30 | |
| 5 | 2022 | 25 | |
| 6 | 2022 | 23 | |
| 7 | 2020 | 20 | |
| 8 | 2016 | 19 | |
| 9 | 2016 | 17 | |
| 10 | 2018 | 17 | |
| 11 | 2014 | 14 | |
| 12 | 2023 | 13 | |
| 13 | 2019 | 13 | |
| 14 | 2023 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2024 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2023 | 8 | |
| 20 | 2023 | 6 |
About Lipsa Das
Lipsa Das is a scholar working on Computer Networks and Communications, Information Systems, Immunology and Allergy, Immunology and Electrical and Electronic Engineering, having authored 51 papers that have together received 428 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), Network Security and Intrusion Detection (5 papers), Spam and Phishing Detection (4 papers), Cell Adhesion Molecules Research (4 papers), Blockchain Technology Applications and Security (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), DNA Repair Mechanisms (2 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Immunology and Allergy (23 citations), Neurology (31 citations), Software (14 citations), Information Systems (66 citations) and Signal Processing (29 citations). Lipsa Das has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Smita Sharma, Suman Avdhesh Yadav, Raymond B. Nagle, Jaime M.C. Gard, Anne E. Cress, Manorama Patri, Joann B. Sweasy, Isis C. Sroka, Laxmi Ahuja and Ajay Rana. Their work appears in journals such as Journal of Cellular Biochemistry, DNA repair, PLoS ONE, Toxicology Reports and American Journal Of Pathology.
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.