Mala Dutta
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
- Topic Modeling
- Sentiment Analysis and Opinion Mining
Papers in
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- Sentiment Analysis and Opinion Mining 4
- Advanced Text Analysis Techniques 2
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- Recommender Systems and Techniques 5
- Data Mining Algorithms and Applications 3
- Co-authors
- Deepjyoti Roy (5 shared papers)Utpal Barman (1 shared paper)Debabrata Datta (1 shared paper)Nisha Sharma (1 shared paper)Malay Kishore Dutta (1 shared paper)
- Journals
- Journal Of Big Data (1 paper)Social Network Analysis and Mining (1 paper)International Journal of Computers and Applications (1 paper)Journal of Information & Knowledge Management (1 paper)Yüzüncü Yıl Üniversitesi Tarım Bilimleri Dergisi (2 papers)
- Partner nations
- India
In The Last Decade
Mala Dutta
16 papers receiving 291 citations
Mala Dutta's Hit Papers
Peers
Comparison fields: 5 of 73
- Information Systems 144
- Artificial Intelligence 104
- Computer Science Applications 15
- Marketing 24
- Computer Vision and Pattern Recognition 44
Countries citing papers authored by Mala Dutta
This map shows the geographic impact of Mala Dutta'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 Mala Dutta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mala Dutta more than expected).
Fields of papers citing papers by Mala Dutta
This network shows the impact of papers produced by Mala Dutta. 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 Mala Dutta. The network helps show where Mala Dutta may publish in the future.
Co-authors
The 5 scholars most cited alongside Mala Dutta, 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 | A systematic review and research perspective on recommender systems Hit paper breakdown → | 2022 | 246 |
| 2 | 2023 | 12 | |
| 3 | 2022 | 8 | |
| 4 | 2022 | 7 | |
| 5 | 2024 | 7 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 5 | |
| 8 | 2020 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 3 | |
| 12 | MINING CLOSED FREQUENT INTERVALS FROM INTERVAL DATA | 2012 | 3 |
| 13 | 2012 | 3 | |
| 14 | 2018 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2022 | 0 | |
| 18 | 2015 | 0 |
About Mala Dutta
Mala Dutta is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 18 papers that have together received 317 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (5 papers), Sentiment Analysis and Opinion Mining (4 papers), Data Mining Algorithms and Applications (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Time Series Analysis and Forecasting (3 papers), Artificial Intelligence in Healthcare (2 papers), Advanced Text Analysis Techniques (2 papers) and Rough Sets and Fuzzy Logic (2 papers). The work is most often cited by research in Information Systems (144 citations), Artificial Intelligence (104 citations), Computer Science Applications (15 citations), Marketing (24 citations) and Computer Vision and Pattern Recognition (44 citations). Mala Dutta has collaborated with scholars based in India. Frequent co-authors include Deepjyoti Roy, Utpal Barman, Debabrata Datta, Nisha Sharma and Malay Kishore Dutta. Their work appears in journals such as Journal Of Big Data, Social Network Analysis and Mining, International Journal of Computers and Applications, Journal of Information & Knowledge Management and Yüzüncü Yıl Üniversitesi Tarım Bilimleri Dergisi.
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.