Mallika De
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
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- Digital Imaging for Blood Diseases
Papers in
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- Interconnection Networks and Systems 6
- Advanced Database Systems and Queries 3
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- Advanced Memory and Neural Computing 3
- Advancements in Semiconductor Devices and Circuit Design 2
- Co-authors
- Bhabani P. Sinha (6 shared papers)Himadri Sekhar Dutta (3 shared papers)Debashis De (4 shared papers)Kunal Das (4 shared papers)Swagatam Das (1 shared paper)N. K. Goel (1 shared paper)Debraj Das (1 shared paper)Rajdeep Chowdhury (5 shared papers)
In The Last Decade
Mallika De
32 papers receiving 234 citations
Peers
Comparison fields: 5 of 56
- Hardware and Architecture 29
- Computer Vision and Pattern Recognition 62
- Ophthalmology 25
- Computational Theory and Mathematics 43
- Computer Networks and Communications 52
Countries citing papers authored by Mallika De
This map shows the geographic impact of Mallika De'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 Mallika De with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mallika De more than expected).
Fields of papers citing papers by Mallika De
This network shows the impact of papers produced by Mallika De. 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 Mallika De. The network helps show where Mallika De may publish in the future.
Co-authors
The 19 scholars most cited alongside Mallika De, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 34 | |
| 2 | 2012 | 31 | |
| 3 | 1999 | 26 | |
| 4 | 2013 | 22 | |
| 5 | 2000 | 17 | |
| 6 | 1993 | 16 | |
| 7 | 2012 | 14 | |
| 8 | 1997 | 14 | |
| 9 | 2012 | 8 | |
| 10 | 2012 | 8 | |
| 11 | 2012 | 6 | |
| 12 | 2016 | 6 | |
| 13 | 1994 | 5 | |
| 14 | 2013 | 5 | |
| 15 | 2012 | 5 | |
| 16 | 2015 | 4 | |
| 17 | 2013 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2018 | 3 |
About Mallika De
Mallika De is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 259 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (6 papers), Interconnection Networks and Systems (6 papers), Quantum-Dot Cellular Automata (4 papers), Data Mining Algorithms and Applications (4 papers), Advanced Database Systems and Queries (3 papers), Advanced Memory and Neural Computing (3 papers), Data Management and Algorithms (2 papers) and Advancements in Semiconductor Devices and Circuit Design (2 papers). The work is most often cited by research in Hardware and Architecture (29 citations), Computer Vision and Pattern Recognition (62 citations), Ophthalmology (25 citations), Computational Theory and Mathematics (43 citations) and Computer Networks and Communications (52 citations). Mallika De has collaborated with scholars based in India, Australia and Bhutan. Frequent co-authors include Bhabani P. Sinha, Himadri Sekhar Dutta, Debashis De, Kunal Das, Swagatam Das, N. K. Goel, Debraj Das, Rajdeep Chowdhury, Krishna Gopal Dhal and Ruhul Sarker. Their work appears in journals such as IEEE Transactions on Computers, Stochastic Environmental Research and Risk Assessment, Parallel Processing Letters, Micro & Nano Letters and International Journal of Data Analysis Techniques and Strategies.
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.