Nanziba Basnin

418 total citations
3 papers, 68 citations indexed

About

Nanziba Basnin is a scholar working on Family Practice, Health Informatics and Artificial Intelligence. According to data from OpenAlex, Nanziba Basnin has authored 3 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Family Practice, 1 paper in Health Informatics and 1 paper in Artificial Intelligence. Recurrent topics in Nanziba Basnin's work include Medical Imaging and Analysis (1 paper), Clinical Reasoning and Diagnostic Skills (1 paper) and Privacy-Preserving Technologies in Data (1 paper). Nanziba Basnin is often cited by papers focused on Medical Imaging and Analysis (1 paper), Clinical Reasoning and Diagnostic Skills (1 paper) and Privacy-Preserving Technologies in Data (1 paper). Nanziba Basnin collaborates with scholars based in Bangladesh, United Kingdom and Sweden. Nanziba Basnin's co-authors include Tanjim Mahmud, Karl Andersson, Anik Barua, Koushick Barua, Dilshad Islam, Mohammad Shahadat Hossain, Nahed Sharmen, Mohammad Shahadat Hossain, Sazzad Hossain and Raihan Ul Islam and has published in prestigious journals such as Diagnostics.

In The Last Decade

Nanziba Basnin

3 papers receiving 68 citations

Peers

Nanziba Basnin

AI

PS

HIM

SP

RNMI

Shashvi Mishra India

Kutubuddin Sayyad Liyakat Kazi India

R. Indrakumari India

Suhaila Abuowaida Jordan

Nawaf Alshdaifat Jordan

Chicheng Zhang United States

Alexander Kalinovsky Belarus

Huazuo Gao

Wilka Carvalho United States

Wangding Zeng China

Shashvi Mishra India

Nanziba Basnin

22 ×1.0

AI

11 ×0.8

PS

22 ×2.4

HIM

3 ×0.4

SP

2 ×0.3

RNMI

Citations per year, relative to Nanziba Basnin Nanziba Basnin (= 1×) peers Shashvi Mishra

Countries citing papers authored by Nanziba Basnin

Since Specialization

Citations

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

Fields of papers citing papers by Nanziba Basnin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nanziba Basnin

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

All Works

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3 of 3 papers shown

1.

Basnin, Nanziba, Tanjim Mahmud, Raihan Ul Islam, & Karl Andersson. (2025). An Evolutionary Federated Learning Approach to Diagnose Alzheimer’s Disease Under Uncertainty. Diagnostics. 15(1). 80–80. 10 indexed citations

2.

Barua, Koushick, Tanjim Mahmud, Anik Barua, et al.. (2023). Explainable AI-Based Humerus Fracture Detection and Classification from X-Ray Images. 1–6. 32 indexed citations

3.

Mahmud, Tanjim, Koushick Barua, Anik Barua, et al.. (2023). Explainable AI for Tomato Leaf Disease Detection: Insights into Model Interpretability. 1–6. 26 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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