T. Mala
Impact in
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- Emotion and Mood Recognition
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
Papers in
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- Cryptography and Data Security 4
- Advanced Text Analysis Techniques 4
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- Cloud Computing and Resource Management 6
- Cloud Data Security Solutions 6
- Blockchain Technology Applications and Security 5
- Co-authors
- Rajkumar Rajavel (6 shared papers)Geetha Vijayaraghavan (1 shared paper)T. V. Geetha (6 shared papers)V. Balasubramanian (3 shared papers)M. Pavithra (1 shared paper)S. Abirami (1 shared paper)Annamalai Rajendran (1 shared paper)R. Anitha (1 shared paper)
- Journals
- Artificial Intelligence in Medicine (1 paper)International Journal of Cooperative Information Systems (1 paper)Information Fusion (1 paper)Engineering Applications of Artificial Intelligence (1 paper)Cluster Computing (1 paper)
- Partner nations
- India
In The Last Decade
T. Mala
27 papers receiving 280 citations
T. Mala's Hit Papers
Peers
Comparison fields: 5 of 63
- Experimental and Cognitive Psychology 64
- Computer Vision and Pattern Recognition 88
- Information Systems 86
- Artificial Intelligence 104
- Computer Networks and Communications 56
Countries citing papers authored by T. Mala
This map shows the geographic impact of T. Mala'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 T. Mala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Mala more than expected).
Fields of papers citing papers by T. Mala
This network shows the impact of papers produced by T. Mala. 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 T. Mala. The network helps show where T. Mala may publish in the future.
Co-authors
The 10 scholars most cited alongside T. Mala, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions Hit paper breakdown → | 2023 | 97 |
| 2 | 2019 | 46 | |
| 3 | 2007 | 26 | |
| 4 | 2011 | 22 | |
| 5 | 2017 | 15 | |
| 6 | 2014 | 14 | |
| 7 | 2015 | 9 | |
| 8 | 2018 | 9 | |
| 9 | 2015 | 8 | |
| 10 | 2009 | 6 | |
| 11 | 2012 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2012 | 4 | |
| 15 | 2006 | 4 | |
| 16 | 2018 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2013 | 2 | |
| 19 | 2007 | 2 | |
| 20 | 2012 | 2 |
About T. Mala
T. Mala is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 35 papers that have together received 297 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (6 papers), Cloud Data Security Solutions (6 papers), Blockchain Technology Applications and Security (5 papers), IoT and Edge/Fog Computing (5 papers), Cryptography and Data Security (4 papers), Caching and Content Delivery (4 papers), Advanced Text Analysis Techniques (4 papers) and Data Visualization and Analytics (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (64 citations), Computer Vision and Pattern Recognition (88 citations), Information Systems (86 citations), Artificial Intelligence (104 citations) and Computer Networks and Communications (56 citations). T. Mala has collaborated with scholars based in India. Frequent co-authors include Rajkumar Rajavel, Geetha Vijayaraghavan, T. V. Geetha, V. Balasubramanian, M. Pavithra, S. Abirami, Annamalai Rajendran, R. Anitha, Priyanka Dhingra and P. Raja Lakshmi. Their work appears in journals such as Artificial Intelligence in Medicine, International Journal of Cooperative Information Systems, Information Fusion, Engineering Applications of Artificial Intelligence and Cluster Computing.
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.