Anjanava Biswas

1.1k total citations · 1 hit paper
7 papers, 857 citations indexed

About

Anjanava Biswas is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anjanava Biswas has authored 7 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anjanava Biswas's work include Topic Modeling (3 papers), Machine Learning in Healthcare (2 papers) and Biomedical Text Mining and Ontologies (1 paper). Anjanava Biswas is often cited by papers focused on Topic Modeling (3 papers), Machine Learning in Healthcare (2 papers) and Biomedical Text Mining and Ontologies (1 paper). Anjanava Biswas collaborates with scholars based in United States, South Korea and Saudi Arabia. Anjanava Biswas's co-authors include Wrick Talukdar, Ahmad Almogren, Ateeq Ur Rehman, Rizwan Ali Naqvi and Rachid El Alami and has published in prestigious journals such as IEEE Access, World Journal of Advanced Engineering Technology and Sciences and International Research Journal of Modernization in Engineering Technology and Science.

In The Last Decade

Anjanava Biswas

6 papers receiving 38 citations

Hit Papers

Intelligent Clinical Documentation: Harnessing Generative... 2024 2026 2025 2024 250 500 750

Peers

Anjanava Biswas
Wrick Talukdar United States
Anjanava Biswas
Citations per year, relative to Anjanava Biswas Anjanava Biswas (= 1×) peers Wrick Talukdar

Countries citing papers authored by Anjanava Biswas

Since Specialization
Citations

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

Fields of papers citing papers by Anjanava Biswas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anjanava Biswas. 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 Anjanava Biswas. The network helps show where Anjanava Biswas may publish in the future.

Co-authorship network of co-authors of Anjanava Biswas

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

All Works

7 of 7 papers shown
1.
Almogren, Ahmad, et al.. (2024). Copy-Move Forgery Detection Technique Using Graph Convolutional Networks Feature Extraction. IEEE Access. 12. 121675–121687. 11 indexed citations
2.
Alami, Rachid El, et al.. (2024). Blockchain Enabled Federated Learning for Detection of Malicious Internet of Things Nodes. IEEE Access. 12. 188174–188185. 2 indexed citations
3.
Biswas, Anjanava & Wrick Talukdar. (2024). FinEmbedDiff: A Cost-Effective Approach of Classifying Financial Documents with Vector Sampling using Multi-modal Embedding Models. International Research Journal of Modernization in Engineering Technology and Science.
4.
Talukdar, Wrick & Anjanava Biswas. (2024). Synergizing Unsupervised and Supervised Learning: A Hybrid Approach for Accurate Natural Language Task Modeling. International Journal of Innovative Science and Research Technology (IJISRT). 1499–1508. 11 indexed citations
5.
Biswas, Anjanava & Wrick Talukdar. (2024). Enhancing Clinical Documentation with Synthetic Data: Leveraging Generative Models for Improved Accuracy. International Journal of Innovative Science and Research Technology (IJISRT). 1553–1566. 2 indexed citations
6.
Biswas, Anjanava & Wrick Talukdar. (2024). Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation. International Journal of Innovative Science and Research Technology (IJISRT). 994–1008. 829 indexed citations breakdown →
7.
Talukdar, Wrick & Anjanava Biswas. (2023). Improving Large Language Model (LLM) fidelity through context-aware grounding: A systematic approach to reliability and veracity. World Journal of Advanced Engineering Technology and Sciences. 10(2). 283–296. 2 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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