Mala Dutta

655 total citations · 1 hit paper
18 papers, 280 citations indexed

About

Mala Dutta is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Mala Dutta has authored 18 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in Mala Dutta's work include Recommender Systems and Techniques (5 papers), Sentiment Analysis and Opinion Mining (4 papers) and Time Series Analysis and Forecasting (3 papers). Mala Dutta is often cited by papers focused on Recommender Systems and Techniques (5 papers), Sentiment Analysis and Opinion Mining (4 papers) and Time Series Analysis and Forecasting (3 papers). Mala Dutta collaborates with scholars based in India. Mala Dutta's co-authors include Deepjyoti Roy, Nisha Sharma, Utpal Barman, Debabrata Datta and Malay Kishore Dutta and has published in prestigious journals such as Journal Of Big Data, Social Network Analysis and Mining and International Journal of Computers and Applications.

In The Last Decade

Mala Dutta

16 papers receiving 262 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A systematic review and research perspective on recommender systems

2022 221 citations Deepjyoti Roy, Mala Dutta Journal Of Big Data profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mala Dutta India	5	135	98	44	43	34	18	280
Deepjyoti Roy India	4	124 0.9×	97 1.0×	41 0.9×	27 0.6×	34 1.0×	12	256
Mahsa Ebrahimian Canada	5	148 1.1×	114 1.2×	26 0.6×	40 0.9×	33 1.0×	7	248
Sunita Barve India	7	174 1.3×	128 1.3×	67 1.5×	60 1.4×	29 0.9×	36	313
Bogdan Walek Czechia	6	181 1.3×	118 1.2×	53 1.2×	28 0.7×	37 1.1×	33	267
Wael Etaiwi Jordan	11	137 1.0×	237 2.4×	28 0.6×	37 0.9×	28 0.8×	32	383
Nasseh Tabrizi United States	9	111 0.8×	98 1.0×	41 0.9×	62 1.4×	29 0.9×	37	250
Ali Yürekli Türkiye	3	232 1.7×	178 1.8×	85 1.9×	41 1.0×	34 1.0×	6	346
Hansu Gu United States	14	237 1.8×	201 2.1×	67 1.5×	43 1.0×	23 0.7×	51	360
Zhaoman Zhong China	9	81 0.6×	132 1.3×	48 1.1×	18 0.4×	38 1.1×	27	271
Furkh Zeshan Pakistan	10	126 0.9×	73 0.7×	37 0.8×	92 2.1×	30 0.9×	29	279

Countries citing papers authored by Mala Dutta

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mala Dutta

This figure shows the co-authorship network connecting the top 25 collaborators of Mala Dutta. A scholar is included among the top collaborators of Mala Dutta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mala Dutta. Mala Dutta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

1.

Sharma, Nisha & Mala Dutta. (2024). Designing a Dynamic Weighted Stacking Recommendation System. International Research Journal of Multidisciplinary Scope. 5(4). 755–767. 1 indexed citations

2.

Dutta, Mala, et al.. (2024). Privacy-preserving association rule mining: a survey of techniques for sensitive rule identification and enhanced data protection. International Journal of Computers and Applications. 46(4). 252–265. 1 indexed citations

3.

Barman, Utpal, et al.. (2024). Innovative Approaches to Rice (Oryza sativa) Crop Health: A Comprehensive Analysis of Deep Transfer Learning for Early Disease Detection. Yüzüncü Yıl Üniversitesi Tarım Bilimleri Dergisi. 34(2). 314–322. 4 indexed citations

4.

Dutta, Mala, et al.. (2023). Yield Prediction and Recommendation of Crops in the Northeastern Region Using Machine Learning Regression Models. Yüzüncü Yıl Üniversitesi Tarım Bilimleri Dergisi. 33(4). 700–708. 3 indexed citations

5.

Roy, Deepjyoti & Mala Dutta. (2023). An Intelligent Group Recommender System using Henry Gas Solubility Optimization Algorithm-based Adaptive Deep Belief Network. 1–6. 3 indexed citations

6.

Roy, Deepjyoti & Mala Dutta. (2023). A survey on personalized health recommender systems for diverse healthcare applications. 1–9. 2 indexed citations

7.

Dutta, Mala, et al.. (2023). An Energy-Efficient Protocol based on Recursive Geographic Forwarding Mechanisms for Improving Routing Performance in WSN. IETE Journal of Research. 70(3). 2212–2224. 9 indexed citations

8.

Dutta, Mala, et al.. (2022). Recommender system designed using an ensemble approach to semi-supervised learning. 113. 1–5.

9.

Roy, Deepjyoti & Mala Dutta. (2022). A systematic review and research perspective on recommender systems. Journal Of Big Data. 9(1). 221 indexed citations breakdown →

10.

Roy, Deepjyoti & Mala Dutta. (2022). Optimal hierarchical attention network-based sentiment analysis for movie recommendation. Social Network Analysis and Mining. 12(1). 7 indexed citations

11.

Dutta, Mala, et al.. (2022). Location based Routing Protocols and its Performances in Wireless Sensor Networks: An Investigation. 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC). 583–590. 5 indexed citations

12.

Roy, Deepjyoti & Mala Dutta. (2022). An Improved Cat Swarm Search-Based Deep Ensemble Learning Model for Group Recommender Systems. Journal of Information & Knowledge Management. 21(3). 8 indexed citations

13.

Dutta, Mala, et al.. (2021). Various Energy-Saving Approaches in Wireless Sensor Networks: An Overview. 499–504. 4 indexed citations

14.

Dutta, Mala, et al.. (2020). Movie Recommendation Systems. 59–62. 4 indexed citations

15.

Datta, Debabrata, et al.. (2018). Improvisation in Efficiency of Apriori Algorithm for Mining Frequent Itemsets. International Journal of Computer Sciences and Engineering. 6(8). 424–428. 2 indexed citations

16.

Dutta, Mala, et al.. (2015). Mining closed intervals in an interval database: An incremental method. 1. 1–5.

17.

Dutta, Mala, et al.. (2012). MINING CLOSED FREQUENT INTERVALS FROM INTERVAL DATA. 3 indexed citations

18.

Dutta, Mala. (2012). Detection of Calendar-Based Periodicities of Interval-Based Temporal Patterns. Zenodo (CERN European Organization for Nuclear Research). 2(1). 17–31. 3 indexed citations

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.

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