Jesmin Nahar

848 total citations · 1 hit paper
15 papers, 589 citations indexed

About

Jesmin Nahar is a scholar working on Health Information Management, Molecular Biology and Information Systems. According to data from OpenAlex, Jesmin Nahar has authored 15 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health Information Management, 6 papers in Molecular Biology and 6 papers in Information Systems. Recurrent topics in Jesmin Nahar's work include Artificial Intelligence in Healthcare (8 papers), Data Mining Algorithms and Applications (5 papers) and Imbalanced Data Classification Techniques (4 papers). Jesmin Nahar is often cited by papers focused on Artificial Intelligence in Healthcare (8 papers), Data Mining Algorithms and Applications (5 papers) and Imbalanced Data Classification Techniques (4 papers). Jesmin Nahar collaborates with scholars based in Australia and Fiji. Jesmin Nahar's co-authors include Yi‐Ping Phoebe Chen, Kevin S. Tickle, Tasadduq Imam, A. B. M. Shawkat Ali and Shawkat Ali and has published in prestigious journals such as Expert Systems with Applications, Journal of Medical Systems and DNA and Cell Biology.

In The Last Decade

Jesmin Nahar

15 papers receiving 551 citations

Hit Papers

Association rule mining to detect factors which contribut... 2012 2026 2016 2021 2012 50 100 150 200 250

Peers

Jesmin Nahar
Seral Şahan Türkiye
Bruno Stiglic Slovenia
Cindy Marling United States
Daby Sow United States
Jesmin Nahar
Citations per year, relative to Jesmin Nahar Jesmin Nahar (= 1×) peers Sunita Soni

Countries citing papers authored by Jesmin Nahar

Since Specialization
Citations

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

Fields of papers citing papers by Jesmin Nahar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesmin Nahar

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

All Works

15 of 15 papers shown
1.
Ali, A. B. M. Shawkat, et al.. (2018). Electronic Health Record: A Cost Effective Model for Developing Economies. 3. 214–220. 1 indexed citations
2.
Nahar, Jesmin, et al.. (2018). Practicality of Data Mining for Proficient Network Security Management. 3. 149–155. 1 indexed citations
4.
Nahar, Jesmin, A. B. M. Shawkat Ali, Tasadduq Imam, Kevin S. Tickle, & Yi‐Ping Phoebe Chen. (2016). Brain Cancer Diagnosis-Association Rule Based Computational Intelligence Approach. Acquire (CQUniversity). 89–95. 4 indexed citations
5.
Nahar, Jesmin, et al.. (2015). Medical knowledge based data mining for cardiac stress test diagnostics. Acquire (CQUniversity). 5. 1–7. 2 indexed citations
6.
Nahar, Jesmin, et al.. (2013). Issues of Data Governance Associated with Data Mining in Medical Research: Experiences from an Empirical Study. Studies in health technology and informatics. 193. 332–61. 3 indexed citations
7.
Nahar, Jesmin, Tasadduq Imam, Kevin S. Tickle, A. B. M. Shawkat Ali, & Yi‐Ping Phoebe Chen. (2012). Computational intelligence for microarray data and biomedical image analysis for the early diagnosis of breast cancer. Expert Systems with Applications. 39(16). 12371–12377. 39 indexed citations
8.
Nahar, Jesmin, Tasadduq Imam, Kevin S. Tickle, & Yi‐Ping Phoebe Chen. (2012). Computational intelligence for heart disease diagnosis: A medical knowledge driven approach. Expert Systems with Applications. 40(1). 96–104. 187 indexed citations
9.
Nahar, Jesmin, Tasadduq Imam, Kevin S. Tickle, & Yi‐Ping Phoebe Chen. (2012). Association rule mining to detect factors which contribute to heart disease in males and females. Expert Systems with Applications. 40(4). 1086–1093. 256 indexed citations breakdown →
10.
Nahar, Jesmin, Kevin S. Tickle, A. B. M. Shawkat Ali, & Yi‐Ping Phoebe Chen. (2009). Significant Cancer Prevention Factor Extraction: An Association Rule Discovery Approach. Journal of Medical Systems. 35(3). 353–367. 36 indexed citations
11.
Nahar, Jesmin, Kevin S. Tickle, A. B. M. Shawkat Ali, & Yi‐Ping Phoebe Chen. (2009). Early Breast Cancer Identification: Which Way to Go? Microarray or Image Based Computer Aided Diagnosis!. 456–461. 3 indexed citations
12.
Nahar, Jesmin & Kevin S. Tickle. (2008). Significant cancer risk factor extraction: An association rule discovery approach. 42. 108–114. 5 indexed citations
13.
Nahar, Jesmin, Shawkat Ali, & Yi‐Ping Phoebe Chen. (2007). Microarray Data Classification Using Automatic SVM Kernel Selection. DNA and Cell Biology. 26(10). 707–712. 20 indexed citations
14.
Nahar, Jesmin, Yi‐Ping Phoebe Chen, & A. B. M. Shawkat Ali. (2007). Microarray Classification and Rule Based Cancer Identification. 10. 43–46. 1 indexed citations
15.
Nahar, Jesmin, Yi‐Ping Phoebe Chen, & Shawkat Ali. (2007). KERNEL-BASED NAIVE BAYES CLASSIFIER FOR BREAST CANCER PREDICTION. Journal of Biological Systems. 15(1). 17–25. 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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