Rajib Kumar Halder

525 total citations · 1 hit paper
10 papers, 186 citations indexed

About

Rajib Kumar Halder is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Rajib Kumar Halder has authored 10 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Health Information Management. Recurrent topics in Rajib Kumar Halder's work include Artificial Intelligence in Healthcare (3 papers), Machine Learning in Bioinformatics (3 papers) and Machine Learning in Healthcare (2 papers). Rajib Kumar Halder is often cited by papers focused on Artificial Intelligence in Healthcare (3 papers), Machine Learning in Bioinformatics (3 papers) and Machine Learning in Healthcare (2 papers). Rajib Kumar Halder collaborates with scholars based in Bangladesh and Australia. Rajib Kumar Halder's co-authors include Mohammed Nasir Uddin, Sunil Aryal, Md. Ashraf Uddin, Ansam Khraisat, Sabbir Ahmed, Ammar Alazab, Margarida Lima and Md. Aminul Islam and has published in prestigious journals such as SHILAP Revista de lepidopterología, Genes and Journal Of Big Data.

In The Last Decade

Rajib Kumar Halder

6 papers receiving 178 citations

Hit Papers

Enhancing K-nearest neighbor algorithm: a comprehensive r... 2024 2026 2025 2024 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajib Kumar Halder Bangladesh 5 71 50 21 18 13 10 186
P. V. S. Srinivas India 4 66 0.9× 102 2.0× 18 0.9× 24 1.3× 28 2.2× 13 257
Shailendra Kumar Shrivastava India 5 111 1.6× 92 1.8× 21 1.0× 42 2.3× 25 1.9× 14 268
Vivek Sharma India 2 83 1.2× 92 1.8× 7 0.3× 14 0.8× 24 1.8× 9 226
Engy El-Shafeiy Egypt 8 79 1.1× 30 0.6× 12 0.6× 40 2.2× 27 2.1× 15 217
Sashikanta Prusty India 6 80 1.1× 20 0.4× 15 0.7× 12 0.7× 37 2.8× 22 213
Abdullah M. Albarrak Saudi Arabia 7 71 1.0× 50 1.0× 11 0.5× 30 1.7× 20 1.5× 22 194
Lucas Amorim Brazil 4 62 0.9× 14 0.3× 57 2.7× 17 0.9× 29 2.2× 8 236
K. Srinivas India 7 87 1.2× 107 2.1× 59 2.8× 28 1.6× 16 1.2× 23 246
Vinod J. Kadam India 6 127 1.8× 55 1.1× 14 0.7× 8 0.4× 55 4.2× 13 215
David A. Mong United States 5 89 1.3× 12 0.2× 19 0.9× 10 0.6× 58 4.5× 11 232

Countries citing papers authored by Rajib Kumar Halder

Since Specialization
Citations

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

Fields of papers citing papers by Rajib Kumar Halder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rajib Kumar Halder. 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 Rajib Kumar Halder. The network helps show where Rajib Kumar Halder may publish in the future.

Co-authorship network of co-authors of Rajib Kumar Halder

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

All Works

10 of 10 papers shown
1.
Halder, Rajib Kumar, Mohammed Nasir Uddin, & Md. Ashraf Uddin. (2025). A novel region based neighbors searching classification algorithm for big data. SHILAP Revista de lepidopterología. 6. 516–536.
3.
Halder, Rajib Kumar, et al.. (2025). An integrated machine learning based adaptive error minimization framework for Alzheimer's stage identification. Intelligence-Based Medicine. 11. 100243–100243.
4.
Halder, Rajib Kumar, Mohammed Nasir Uddin, Md. Ashraf Uddin, Sunil Aryal, & Ansam Khraisat. (2024). Enhancing K-nearest neighbor algorithm: a comprehensive review and performance analysis of modifications. Journal Of Big Data. 11(1). 104 indexed citations breakdown →
5.
Halder, Rajib Kumar, et al.. (2024). ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web application. Journal of Pathology Informatics. 15. 100371–100371. 24 indexed citations
6.
Halder, Rajib Kumar, Mohammed Nasir Uddin, Md. Ashraf Uddin, et al.. (2023). A Grid Search-Based Multilayer Dynamic Ensemble System to Identify DNA N4—Methylcytosine Using Deep Learning Approach. Genes. 14(3). 582–582. 4 indexed citations
7.
Halder, Rajib Kumar, et al.. (2023). Particle Swarm Optimization-Assisted Multilayer Ensemble Model to predict DNA 4mC sites. Informatics in Medicine Unlocked. 42. 101374–101374. 3 indexed citations
9.
Uddin, Mohammed Nasir, et al.. (2021). Analysis of Optimized Machine Learning and Deep Learning Techniques for Spam Detection. 1–7. 17 indexed citations
10.
Uddin, Mohammed Nasir & Rajib Kumar Halder. (2021). An ensemble method based multilayer dynamic system to predict cardiovascular disease using machine learning approach. Informatics in Medicine Unlocked. 24. 100584–100584. 34 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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