Mohammed Nasir Uddin

1.1k total citations · 1 hit paper
60 papers, 507 citations indexed

About

Mohammed Nasir Uddin is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammed Nasir Uddin has authored 60 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 17 papers in Information Systems and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohammed Nasir Uddin's work include Internet Traffic Analysis and Secure E-voting (12 papers), Blockchain Technology Applications and Security (9 papers) and Network Security and Intrusion Detection (7 papers). Mohammed Nasir Uddin is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (12 papers), Blockchain Technology Applications and Security (9 papers) and Network Security and Intrusion Detection (7 papers). Mohammed Nasir Uddin collaborates with scholars based in Bangladesh, Australia and United States. Mohammed Nasir Uddin's co-authors include Rajib Kumar Halder, Linta Islam, Md. Ashraf Uddin, Sunil Aryal, Ansam Khraisat, Niaz Chowdhury, Md. Alamin Talukder, Uzzal Kumar Acharjee, Sabbir Ahmed and Hideaki Iizuka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Virology and IEEE Access.

In The Last Decade

Mohammed Nasir Uddin

54 papers receiving 483 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
Mohammed Nasir Uddin Bangladesh 12 228 156 107 60 54 60 507
Adel Sulaiman Saudi Arabia 16 243 1.1× 134 0.9× 117 1.1× 108 1.8× 89 1.6× 59 750
Abdul Quadir India 13 136 0.6× 111 0.7× 116 1.1× 65 1.1× 62 1.1× 58 570
Enrique Puertas Spain 12 359 1.6× 327 2.1× 152 1.4× 64 1.1× 89 1.6× 52 794
Nouh Sabri Elmitwally United Kingdom 12 162 0.7× 95 0.6× 71 0.7× 36 0.6× 51 0.9× 32 430
Dipanjali Kundu Bangladesh 15 242 1.1× 195 1.3× 255 2.4× 48 0.8× 43 0.8× 25 707
Jimmy Singla India 14 274 1.2× 227 1.5× 103 1.0× 84 1.4× 107 2.0× 63 809
G. Manikandan India 12 164 0.7× 80 0.5× 32 0.3× 85 1.4× 48 0.9× 90 452
Deepti Saraswat India 10 178 0.8× 123 0.8× 107 1.0× 52 0.9× 32 0.6× 16 524
Bader Alouffi Saudi Arabia 14 253 1.1× 303 1.9× 257 2.4× 58 1.0× 34 0.6× 30 779
Chandu Thota Cyprus 3 76 0.3× 148 0.9× 196 1.8× 56 0.9× 58 1.1× 6 396

Countries citing papers authored by Mohammed Nasir Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Nasir Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammed Nasir Uddin. 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 Mohammed Nasir Uddin. The network helps show where Mohammed Nasir Uddin may publish in the future.

Co-authorship network of co-authors of Mohammed Nasir Uddin

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Nasir Uddin. A scholar is included among the top collaborators of Mohammed Nasir Uddin 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 Mohammed Nasir Uddin. Mohammed Nasir Uddin 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.
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.
Ali, M, Saiful Islam, Mohammed Nasir Uddin, & Md. Ashraf Uddin. (2024). A conceptual IoT framework based on Anova-F feature selection for chronic kidney disease detection using deep learning approach. Intelligence-Based Medicine. 10. 100170–100170. 1 indexed citations
5.
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 →
6.
Talukder, Md. Alamin, et al.. (2024). Securing transactions: a hybrid dependable ensemble machine learning model using IHT-LR and grid search. Cybersecurity. 7(1). 15 indexed citations
7.
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
8.
Ramasamy, Gobbi, et al.. (2023). Energy demand forecasting of remote areas using linear regression and inverse matrix analysis. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 14(1). 129–129. 6 indexed citations
9.
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
10.
Alazab, Ammar, Mohammed Nasir Uddin, Md. Ashraf Uddin, et al.. (2023). Smart Contract-Based Access Control Framework for Internet of Things Devices. Computers. 12(11). 240–240. 7 indexed citations
11.
Acharjee, Uzzal Kumar, et al.. (2022). Sequence-to-Sequence Learning-Based Conversion of Pseudo-Code to Source Code Using Neural Translation Approach. IEEE Access. 10. 26730–26742. 3 indexed citations
12.
Islam, Linta, et al.. (2022). PhishRescue: A Stacked Ensemble Model to Identify Phishing Website Using Lexical Features. 342–347. 2 indexed citations
13.
Uddin, Mohammed Nasir, et al.. (2021). Analysis of Optimized Machine Learning and Deep Learning Techniques for Spam Detection. 1–7. 17 indexed citations
14.
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
15.
Whaiduzzaman, Md, Mohammed Nasir Uddin, Md. Jahidul Islam, et al.. (2021). BDPS: An Efficient Spark-Based Big Data Processing Scheme for Cloud Fog-IoT Orchestration. Information. 12(12). 517–517. 13 indexed citations
16.
Uddin, Mohammed Nasir, et al.. (2018). Self-Organizing Feature Map and K-Means Algorithm with Automatically Splitting and Merging Clusters based Image Segmentation. International Journal of Image Graphics and Signal Processing. 10(10). 63–71. 1 indexed citations
17.
18.
Uddin, Mohammed Nasir, et al.. (2014). Sheehan’s Syndrome: A Case Report. American Journal of Medical Case Reports. 2(3). 50–51.
19.
Uddin, Mohammed Nasir, et al.. (2014). Hoffmann's Syndrome a Presenting Manifestation of Hypothyroidism. American Journal of Medical Case Reports. 2(4). 75–77. 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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