Muhammad Solihuddin Muhtar

483 total citations
9 papers, 98 citations indexed

About

Muhammad Solihuddin Muhtar is a scholar working on Health Information Management, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Muhammad Solihuddin Muhtar has authored 9 papers receiving a total of 98 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health Information Management, 2 papers in Epidemiology and 2 papers in Artificial Intelligence. Recurrent topics in Muhammad Solihuddin Muhtar's work include Artificial Intelligence in Healthcare (3 papers), Traditional Chinese Medicine Studies (2 papers) and Dengue and Mosquito Control Research (1 paper). Muhammad Solihuddin Muhtar is often cited by papers focused on Artificial Intelligence in Healthcare (3 papers), Traditional Chinese Medicine Studies (2 papers) and Dengue and Mosquito Control Research (1 paper). Muhammad Solihuddin Muhtar collaborates with scholars based in Taiwan, Indonesia and Thailand. Muhammad Solihuddin Muhtar's co-authors include Yu‐Chuan Li, Hsuan‐Chia Yang, Phung‐Anh Nguyen, Bagas Suryo Bintoro, Aldilas Achmad Nursetyo, Shabbir Syed-Abdul, Md. Mohaimenul Islam, Tahmina Nasrin Poly, Yen‐Chun Fan and Hsiao‐Yean Chiu and has published in prestigious journals such as Journal of Medical Internet Research, Frontiers in Nutrition and Journal of Stroke and Cerebrovascular Diseases.

In The Last Decade

Muhammad Solihuddin Muhtar

9 papers receiving 93 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Solihuddin Muhtar Taiwan 5 29 18 16 15 14 9 98
Mahmud Omar Israel 9 51 1.8× 14 0.8× 78 4.9× 22 1.5× 7 0.5× 41 208
Sarah Younus Canada 6 12 0.4× 9 0.5× 36 2.3× 2 0.1× 16 1.1× 16 118
Moustafa Laymouna Canada 4 34 1.2× 7 0.4× 40 2.5× 35 2.5× 6 93
Shaun Loong Singapore 8 6 0.2× 4 0.2× 10 0.6× 5 0.3× 11 0.8× 10 129
Ranveer Vasdev United States 6 21 0.7× 3 0.2× 47 2.9× 3 0.2× 11 0.8× 22 120
Tharshini Jeyakumar Canada 5 12 0.4× 17 0.9× 38 2.4× 1 0.1× 15 1.1× 14 88
Ekaterina Potapova Germany 10 4 0.1× 8 0.4× 2 0.1× 8 0.5× 9 0.6× 22 275
Nicholas Heller United States 6 36 1.2× 2 0.1× 41 2.6× 2 0.1× 11 0.8× 24 141
Suhana Bedi United States 4 68 2.3× 13 0.7× 91 5.7× 10 0.7× 7 176
Md. Al Mamun Bangladesh 7 58 2.0× 7 0.4× 2 0.1× 9 0.6× 17 200

Countries citing papers authored by Muhammad Solihuddin Muhtar

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Solihuddin Muhtar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Solihuddin Muhtar. 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 Muhammad Solihuddin Muhtar. The network helps show where Muhammad Solihuddin Muhtar may publish in the future.

Co-authorship network of co-authors of Muhammad Solihuddin Muhtar

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

All Works

9 of 9 papers shown
1.
Ningrum, Dina Nur Anggraini, et al.. (2024). Artificial Intelligence Approach for Severe Dengue Early Warning System. Studies in health technology and informatics. 310. 881–885. 1 indexed citations
2.
Hasan, Faizul, et al.. (2024). Web-based artificial intelligence to predict cognitive impairment following stroke: A multicenter study. Journal of Stroke and Cerebrovascular Diseases. 33(8). 107826–107826. 1 indexed citations
3.
Huang, Chih‐Wei, et al.. (2024). Facial Mimicry and Doctor-Patient Satisfaction: The Feasibility of Artificial Empathy in a Clinical Video Data. Studies in health technology and informatics. 310. 1116–1120. 1 indexed citations
4.
Mardiana, Mardiana, et al.. (2023). Literature review: nutrition supplementation for muscle fatigue in athletes. Jurnal Keolahragaan. 11(1). 10–23. 4 indexed citations
5.
Yang, Hsuan‐Chia, et al.. (2023). Machine Learning Approaches for Predicting Psoriatic Arthritis Risk Using Electronic Medical Records: Population-Based Study. Journal of Medical Internet Research. 25. e39972–e39972. 16 indexed citations
6.
Hasan, Faizul, Muhammad Solihuddin Muhtar, Dean Wu, et al.. (2023). Post-Stroke Insomnia Increased the Risk of Cognitive Impairments: A Hospital-Based Retrospective Cohort Study. Behavioral Sleep Medicine. 21(6). 802–810. 6 indexed citations
7.
Yang, Hsuan‐Chia, Bagas Suryo Bintoro, Aldilas Achmad Nursetyo, et al.. (2022). SlimMe, a Chatbot With Artificial Empathy for Personal Weight Management: System Design and Finding. Frontiers in Nutrition. 9. 870775–870775. 36 indexed citations
8.
Ningrum, Dina Nur Anggraini, Woon‐Man Kung, I‐Shiang Tzeng, et al.. (2021). A Deep Learning Model to Predict Knee Osteoarthritis Based on Nonimage Longitudinal Medical Record. Journal of Multidisciplinary Healthcare. Volume 14. 2477–2485. 12 indexed citations
9.
Poly, Tahmina Nasrin, Md. Mohaimenul Islam, Muhammad Solihuddin Muhtar, et al.. (2020). Machine Learning Approach to Reduce Alert Fatigue Using a Disease Medication–Related Clinical Decision Support System: Model Development and Validation. JMIR Medical Informatics. 8(11). e19489–e19489. 21 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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