Hamid GholamHosseini

3.3k total citations · 1 hit paper
104 papers, 2.2k citations indexed

About

Hamid GholamHosseini is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Hamid GholamHosseini has authored 104 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Biomedical Engineering, 20 papers in Cardiology and Cardiovascular Medicine and 18 papers in Artificial Intelligence. Recurrent topics in Hamid GholamHosseini's work include Non-Invasive Vital Sign Monitoring (21 papers), Healthcare Technology and Patient Monitoring (14 papers) and AI in cancer detection (13 papers). Hamid GholamHosseini is often cited by papers focused on Non-Invasive Vital Sign Monitoring (21 papers), Healthcare Technology and Patient Monitoring (14 papers) and AI in cancer detection (13 papers). Hamid GholamHosseini collaborates with scholars based in New Zealand, Sweden and China. Hamid GholamHosseini's co-authors include Mirza Mansoor Baig, María Lindén, Roopak Sinha, Farhaan Mirza, Shereen Afifi, Martin Connolly, Martin J. Connolly, Dehan Luo, Andrew Lowe and H. Nazeran and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

In The Last Decade

Hamid GholamHosseini

94 papers receiving 2.1k citations

Hit Papers

Smart Health Monitoring Systems: An Overview of Design an... 2013 2026 2017 2021 2013 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamid GholamHosseini New Zealand 22 799 380 355 343 262 104 2.2k
María Lindén Sweden 20 583 0.7× 238 0.6× 250 0.7× 206 0.6× 127 0.5× 104 1.6k
Manolis Tsiknakis Greece 30 617 0.8× 467 1.2× 654 1.8× 683 2.0× 268 1.0× 240 4.0k
Ioanna Chouvarda Greece 27 412 0.5× 665 1.8× 223 0.6× 639 1.9× 194 0.7× 210 3.7k
Javier Andreu-Pérez United Kingdom 18 458 0.6× 199 0.5× 359 1.0× 885 2.6× 167 0.6× 77 2.9k
Jessilyn Dunn United States 26 815 1.0× 676 1.8× 133 0.4× 143 0.4× 70 0.3× 73 3.1k
Feipei Lai Taiwan 30 215 0.3× 231 0.6× 305 0.9× 774 2.3× 720 2.7× 293 3.5k
Miad Faezipour United States 28 624 0.8× 393 1.0× 300 0.8× 775 2.3× 639 2.4× 145 3.0k
Alexandros Pantelopoulos United States 11 1.2k 1.5× 592 1.6× 500 1.4× 142 0.4× 505 1.9× 23 2.4k
J. García Spain 22 415 0.5× 597 1.6× 230 0.6× 168 0.5× 193 0.7× 99 1.3k
Santosh Kumar United States 25 330 0.4× 357 0.9× 350 1.0× 288 0.8× 149 0.6× 69 3.2k

Countries citing papers authored by Hamid GholamHosseini

Since Specialization
Citations

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

Fields of papers citing papers by Hamid GholamHosseini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamid GholamHosseini

This figure shows the co-authorship network connecting the top 25 collaborators of Hamid GholamHosseini. A scholar is included among the top collaborators of Hamid GholamHosseini 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 Hamid GholamHosseini. Hamid GholamHosseini 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.
GholamHosseini, Hamid, et al.. (2025). Advanced Deep Learning Models for Melanoma Diagnosis in Computer-Aided Skin Cancer Detection. Sensors. 25(3). 594–594. 5 indexed citations
4.
Garcia, Gonzalo, et al.. (2024). Automated Food Weight and Content Estimation Using Computer Vision and AI Algorithms. Sensors. 24(23). 7660–7660. 1 indexed citations
5.
Baig, Mirza Mansoor, et al.. (2024). Generative AI in Improving Personalized Patient Care Plans: Opportunities and Barriers Towards Its Wider Adoption. Applied Sciences. 14(23). 10899–10899. 12 indexed citations
6.
Ortiz-Catalan, Max, et al.. (2021). Real-Time and Offline Evaluation of Myoelectric Pattern Recognition for the Decoding of Hand Movements. Sensors. 21(16). 5677–5677. 14 indexed citations
7.
Baig, Mirza Mansoor, Hamid GholamHosseini, Shereen Afifi, & Farhaan Mirza. (2019). Current Challenges and Barriers to the Wider Adoption of Wearable Sensor Applications and Internet-of-Things in Health and Well-being. Journal of the Association for Information Systems. 20. 4 indexed citations
8.
Lowe, Andrew, et al.. (2019). Blood Pressure Estimation from Electrocardiogram and Photoplethysmography Signals Using Continuous Wavelet Transform and Convolutional Neural Network.. Journal of the Association for Information Systems. 28. 3 indexed citations
9.
Afifi, Shereen, Hamid GholamHosseini, Roopak Sinha, & María Lindén. (2019). A Novel Medical Device for Early Detection of Melanoma. Studies in health technology and informatics. 261. 122–127. 6 indexed citations
10.
GholamHosseini, Hamid, et al.. (2018). Unsupervised Optic Cup and Optic Disk Segmentation for Glaucoma Detection by ICICA. 24. 209–214. 2 indexed citations
11.
Baig, Mirza Mansoor, Farhaan Mirza, Hamid GholamHosseini, Jairo Gutiérrez, & Ehsan Ullah. (2018). Clinical Decision Support for Early Detection of Prediabetes and Type 2 Diabetes Mellitus Using Wearable Technology. PubMed. 2018. 4456–4459. 9 indexed citations
12.
GholamHosseini, Hamid, et al.. (2018). Cuffless Blood Pressure Estimation Using Pulse Transit Time and Photoplethysmogram Intensity Ratio. Studies in health technology and informatics. 249. 77–83. 4 indexed citations
13.
GholamHosseini, Hamid, et al.. (2016). Lesion border detection using deep learning. 1416–1421. 27 indexed citations
14.
Baig, Mirza Mansoor, Hamid GholamHosseini, & Martin Connolly. (2016). Falls risk assessment for hospitalised older adults: a combination of motion data and vital signs. Aging Clinical and Experimental Research. 28(6). 1159–1168. 8 indexed citations
15.
Fallah, Ali, et al.. (2015). A novel approach for removing ECG interferences from surface EMG signals using a combined ANFIS and wavelet. Journal of Electromyography and Kinesiology. 26. 52–59. 36 indexed citations
16.
Baig, Mirza Mansoor, Hamid GholamHosseini, Martin J. Connolly, & María Lindén. (2015). Advanced decision support system for older adults.. PubMed. 211. 235–40. 3 indexed citations
17.
Baig, Mirza Mansoor & Hamid GholamHosseini. (2013). Smart Health Monitoring Systems: An Overview of Design and Modeling. Journal of Medical Systems. 37(2). 9898–9898. 265 indexed citations breakdown →
18.
Baig, Mirza Mansoor, Hamid GholamHosseini, & Michael J. Harrison. (2013). Fuzzy logic based anaesthesia monitoring systems for the detection of absolute hypovolaemia. Computers in Biology and Medicine. 43(6). 683–692. 10 indexed citations
19.
Baig, Mirza Mansoor, Hamid GholamHosseini, & Michael J. Harrison. (2012). Fuzzy logic based smart Anaesthesia monitoring system in the operation theatre. WSEAS Transactions on Circuits and Systems archive. 11(1). 21–32. 13 indexed citations
20.
Islam, Md. Saiful, Abbas Z. Kouzani, Xiujuan J. Dai, Wojtek P. Michalski, & Hamid GholamHosseini. (2012). Design and Analysis of a Multilayer Localized Surface Plasmon Resonance Graphene Biosensor. Journal of Biomedical Nanotechnology. 8(3). 380–393. 16 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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