Nahed Sharmen

471 total citations
9 papers, 191 citations indexed

About

Nahed Sharmen is a scholar working on Health Information Management, Health Informatics and Artificial Intelligence. According to data from OpenAlex, Nahed Sharmen has authored 9 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Health Information Management, 4 papers in Health Informatics and 3 papers in Artificial Intelligence. Recurrent topics in Nahed Sharmen's work include Artificial Intelligence in Healthcare (5 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Machine Learning in Healthcare (3 papers). Nahed Sharmen is often cited by papers focused on Artificial Intelligence in Healthcare (5 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Machine Learning in Healthcare (3 papers). Nahed Sharmen collaborates with scholars based in Bangladesh, Sweden and Japan. Nahed Sharmen's co-authors include Tanjim Mahmud, Karl Andersson, Koushick Barua, Anik Barua, Sultana Umme Habiba, Mohammad Shahadat Hossain, Nanziba Basnin, Sazzad Hossain, Dilshad Islam and Mohammad Shahadat Hossain and has published in prestigious journals such as Diagnostics and Procedia Computer Science.

In The Last Decade

Nahed Sharmen

9 papers receiving 187 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nahed Sharmen Bangladesh	7	69	35	20	19	18	9	191
Koushick Barua Bangladesh	6	57 0.8×	20 0.6×	28 1.4×	20 1.1×	18 1.0×	7	181
Jiaji Wang China	7	41 0.6×	12 0.3×	7 0.3×	24 1.3×	16 0.9×	12	202
Sujatha Canavoy Narahari India	8	55 0.8×	21 0.6×	22 1.1×	6 0.3×	7 0.4×	27	192
Radha Raman Chandan India	8	71 1.0×	14 0.4×	6 0.3×	25 1.3×	4 0.2×	34	186
S. M. Nuruzzaman Nobel Bangladesh	12	98 1.4×	11 0.3×	58 2.9×	21 1.1×	6 0.3×	27	256
Md Humaion Kabir Mehedi Bangladesh	8	88 1.3×	5 0.1×	38 1.9×	18 0.9×	6 0.3×	50	239
S M Masfequier Rahman Swapno Bangladesh	11	81 1.2×	9 0.3×	37 1.9×	20 1.1×	3 0.2×	21	214
Ravi Kumar Sachdeva India	9	58 0.8×	76 2.2×	44 2.2×	14 0.7×	3 0.2×	24	236
Jabeen Nazeer Saudi Arabia	8	42 0.6×	15 0.4×	7 0.3×	31 1.6×	4 0.2×	33	167
B. Uma Maheswari India	7	43 0.6×	9 0.3×	5 0.3×	19 1.0×	4 0.2×	36	146

Countries citing papers authored by Nahed Sharmen

Since Specialization

Citations

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

Fields of papers citing papers by Nahed Sharmen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nahed Sharmen

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Mahmud, Tanjim, et al.. (2024). Hybrid Deep Transfer Learning Framework for Humerus Fracture Detection and Classification from X-ray Images. 1–6. 9 indexed citations

2.

Mahmud, Tanjim, Koushick Barua, Sultana Umme Habiba, et al.. (2024). An Explainable AI Paradigm for Alzheimer’s Diagnosis Using Deep Transfer Learning. Diagnostics. 14(3). 345–345. 52 indexed citations

3.

Mahmud, Tanjim, Borhan Uddin, Avishek Majumder, et al.. (2024). Utilizing Machine Learning for Early Detection of Chronic Kidney Disease. 1–6. 1 indexed citations

4.

Priya, Sarv, et al.. (2024). An Explainable AI Approach to Predicting Psychoactive Drug Consumption in Bangladesh. 1–7. 6 indexed citations

5.

Mahmud, Tanjim, et al.. (2024). Heartbeat Sound Analysis: Integrating Deep Learning Models for Classification. 1–6. 5 indexed citations

6.

Mahmud, Tanjim, et al.. (2024). Integrating BERT Embeddings with SVM for Prostate Cancer Prediction. 1–6. 30 indexed citations

7.

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

8.

Mahmud, Tanjim, et al.. (2023). An Improved Framework for Reliable Cardiovascular Disease Prediction Using Hybrid Ensemble Learning. 1–6. 47 indexed citations

9.

Mahmud, Tanjim, et al.. (2021). An Optimal Learning Model for Training Expert System to Detect Uterine Cancer. Procedia Computer Science. 184. 356–363. 9 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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