Malaya Dutta Borah

1.2k total citations
49 papers, 599 citations indexed

About

Malaya Dutta Borah is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Malaya Dutta Borah has authored 49 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 18 papers in Information Systems and 8 papers in Computer Networks and Communications. Recurrent topics in Malaya Dutta Borah's work include Blockchain Technology Applications and Security (12 papers), Topic Modeling (9 papers) and Natural Language Processing Techniques (9 papers). Malaya Dutta Borah is often cited by papers focused on Blockchain Technology Applications and Security (12 papers), Topic Modeling (9 papers) and Natural Language Processing Techniques (9 papers). Malaya Dutta Borah collaborates with scholars based in India, Romania and Spain. Malaya Dutta Borah's co-authors include Rajni Jindal, Pratima Sharma, Deepali Jain, Anupam Biswas, Ganesh Chandra Deka, Suyel Namasudra, Sivaji Bandyopadhyay, Ripon Patgiri, Daya Gupta and Valentina Emilia Bălaş and has published in prestigious journals such as Expert Systems with Applications, ACM Computing Surveys and Applied Soft Computing.

In The Last Decade

Malaya Dutta Borah

44 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malaya Dutta Borah India 13 324 239 175 69 66 49 599
Basel Katt Norway 11 334 1.0× 149 0.6× 211 1.2× 22 0.3× 19 0.3× 65 580
Zaigham Mahmood United Kingdom 12 214 0.7× 99 0.4× 159 0.9× 19 0.3× 20 0.3× 42 407
Greg Goth United States 11 184 0.6× 98 0.4× 195 1.1× 28 0.4× 17 0.3× 120 466
Robin Gandhi United States 11 353 1.1× 167 0.7× 106 0.6× 14 0.2× 26 0.4× 51 474
Mohammad Kazem Akbari Iran 11 277 0.9× 185 0.8× 251 1.4× 11 0.2× 11 0.2× 48 594
Colin Tankard United States 6 282 0.9× 172 0.7× 283 1.6× 9 0.1× 24 0.4× 23 560
Jim Steel Australia 12 277 0.9× 282 1.2× 103 0.6× 19 0.3× 7 0.1× 29 538
Rodrigo Bonifácio Brazil 15 551 1.7× 211 0.9× 211 1.2× 73 1.1× 7 0.1× 69 658
Joaquín Nicolás Spain 15 482 1.5× 217 0.9× 62 0.4× 69 1.0× 4 0.1× 41 647
Jaap-Henk Hoepman Netherlands 12 213 0.7× 234 1.0× 118 0.7× 38 0.6× 17 0.3× 55 527

Countries citing papers authored by Malaya Dutta Borah

Since Specialization
Citations

This map shows the geographic impact of Malaya Dutta Borah'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 Malaya Dutta Borah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malaya Dutta Borah more than expected).

Fields of papers citing papers by Malaya Dutta Borah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malaya Dutta Borah. 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 Malaya Dutta Borah. The network helps show where Malaya Dutta Borah may publish in the future.

Co-authorship network of co-authors of Malaya Dutta Borah

This figure shows the co-authorship network connecting the top 25 collaborators of Malaya Dutta Borah. A scholar is included among the top collaborators of Malaya Dutta Borah 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 Malaya Dutta Borah. Malaya Dutta Borah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Borah, Malaya Dutta, et al.. (2025). GAN-based approach for data imputation and handling class imbalance using one class ensemble. Applied Soft Computing. 182. 113540–113540.
2.
Borah, Malaya Dutta, et al.. (2025). A Hybrid Learning Model for Tomato Plant Disease Detection using Deep Reinforcement Learning with Transfer Learning. Procedia Computer Science. 252. 341–354. 2 indexed citations
3.
Borah, Malaya Dutta, et al.. (2025). Effective near-duplicate image detection using perceptual hashing and deep learning. Information Processing & Management. 62(4). 104086–104086. 3 indexed citations
4.
5.
Borah, Malaya Dutta, et al.. (2024). CTGAN-based oversampling and cost-sensitive deep neural network to predict smart money activity in stock market. International Journal of Information Technology. 17(3). 1489–1499. 3 indexed citations
6.
Borah, Malaya Dutta, et al.. (2024). Computational methods for studying relationship between nutritional status and respiratory viral diseases: a systematic review. Artificial Intelligence Review. 57(1). 1 indexed citations
7.
Borah, Malaya Dutta, et al.. (2024). A computational model to analyze the impact of birth weight-nutritional status pair on disease development and disease recovery. Health Information Science and Systems. 12(1). 10–10. 2 indexed citations
8.
Borah, Malaya Dutta, et al.. (2024). A hybridization of multiple imputation and one-class bagging ensemble approach for missing value and class imbalance problem. Evolving Systems. 15(6). 2021–2066. 1 indexed citations
9.
Borah, Malaya Dutta, et al.. (2024). A neural network integrated mathematical model to analyze the impact of nutritional status on cognitive development of child. Computers in Biology and Medicine. 185. 109490–109490.
10.
Borah, Malaya Dutta, et al.. (2023). A performance analysis of different ensemble and hybrid techniques in credit card fraudulent transactions. IET conference proceedings.. 2023(5). 544–551. 2 indexed citations
11.
12.
Jain, Deepali, Malaya Dutta Borah, & Anupam Biswas. (2023). Summarization of Lengthy Legal Documents via Abstractive Dataset Building: An Extract-then-Assign Approach. Expert Systems with Applications. 237. 121571–121571. 6 indexed citations
13.
Borah, Malaya Dutta, et al.. (2023). A Factor Based Multiple Imputation Approach to Handle Class Imbalance. Procedia Computer Science. 218. 103–112. 3 indexed citations
14.
Borah, Malaya Dutta, et al.. (2022). A Hybrid Resampling Approach to Handle Class Imbalance Problem and Missing Data. 1–6. 2 indexed citations
15.
Sharma, Pratima, Rajni Jindal, & Malaya Dutta Borah. (2022). A Comparative Analysis of Consensus Algorithms for Decentralized Storage Systems. IT Professional. 24(6). 59–65. 1 indexed citations
16.
Borah, Malaya Dutta, Pushpa Singh, & Ganesh Chandra Deka. (2022). AI and Blockchain Technology in 6G Wireless Network. 1 indexed citations
17.
Sharma, Pratima, Malaya Dutta Borah, & Suyel Namasudra. (2021). Improving security of medical big data by using Blockchain technology. Computers & Electrical Engineering. 96. 107529–107529. 57 indexed citations
18.
Sharma, Pratima, Rajni Jindal, & Malaya Dutta Borah. (2020). Blockchain Technology for Cloud Storage. ACM Computing Surveys. 53(4). 1–32. 82 indexed citations
19.
Borah, Malaya Dutta, et al.. (2020). Birth weight prediction of new born baby with application of machine learning techniques on features of mother. Journal of Statistics and Management Systems. 23(6). 1079–1091. 12 indexed citations
20.
Borah, Malaya Dutta & Rajni Jindal. (2018). A STUDY ON INCREMENTAL MINING OF FREQUENT PATTERNS. Journal of Fundamental and Applied Sciences. 10(2). 97–112. 1 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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