Mohammad Iqbal Omar

691 total citations
42 papers, 499 citations indexed

About

Mohammad Iqbal Omar is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mohammad Iqbal Omar has authored 42 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biomedical Engineering, 12 papers in Cognitive Neuroscience and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mohammad Iqbal Omar's work include Advanced Chemical Sensor Technologies (16 papers), EEG and Brain-Computer Interfaces (12 papers) and ECG Monitoring and Analysis (6 papers). Mohammad Iqbal Omar is often cited by papers focused on Advanced Chemical Sensor Technologies (16 papers), EEG and Brain-Computer Interfaces (12 papers) and ECG Monitoring and Analysis (6 papers). Mohammad Iqbal Omar collaborates with scholars based in Malaysia, United Kingdom and Kuwait. Mohammad Iqbal Omar's co-authors include M. Murugappan, Rajamanickam Yuvaraj, Khairiyah Mohamad, Kenneth Sundaraj, Ramaswamy Palaniappan, Ammar Zakaria, Ali Yeon Md Shakaff, Norlinah Mohamed Ibrahim, Latifah Munirah Kamarudin and Abdul Hamid Adom and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and BMC Cancer.

In The Last Decade

Mohammad Iqbal Omar

40 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Iqbal Omar Malaysia 12 206 186 72 68 52 42 499
Jyoti Yadav India 14 304 1.5× 138 0.7× 149 2.1× 86 1.3× 34 0.7× 44 832
Keisuke Shima Japan 17 274 1.3× 220 1.2× 32 0.4× 7 0.1× 22 0.4× 113 897
Hung-Yi Hsieh Taiwan 9 256 1.2× 130 0.7× 215 3.0× 62 0.9× 10 0.2× 23 477
S. Anand India 10 236 1.1× 101 0.5× 76 1.1× 36 0.5× 6 0.1× 39 572
Hamdi Melih Saraoğlu Türkiye 9 136 0.7× 119 0.6× 71 1.0× 30 0.4× 51 1.0× 29 309
M. B. Malarvili Malaysia 14 345 1.7× 187 1.0× 90 1.3× 11 0.2× 48 0.9× 74 815
Shun‐Chi Wu Taiwan 15 63 0.3× 169 0.9× 42 0.6× 70 1.0× 59 1.1× 54 636
Javad Birjandtalab United States 10 138 0.7× 356 1.9× 30 0.4× 65 1.0× 142 2.7× 23 579
Padmavati Khandnor India 10 48 0.2× 204 1.1× 29 0.4× 57 0.8× 67 1.3× 28 444

Countries citing papers authored by Mohammad Iqbal Omar

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Iqbal Omar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Iqbal Omar. 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 Mohammad Iqbal Omar. The network helps show where Mohammad Iqbal Omar may publish in the future.

Co-authorship network of co-authors of Mohammad Iqbal Omar

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Iqbal Omar. A scholar is included among the top collaborators of Mohammad Iqbal Omar 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 Mohammad Iqbal Omar. Mohammad Iqbal Omar 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.
Daud, Ruslizam, et al.. (2018). The Effect of Magnetic Induction Spectroscopy Signal for Cylindrical Screw with Different Length. International Journal of Engineering & Technology. 7(4.26). 15–19.
2.
Zakaria, Ammar, Yumi Zuhanis Has-Yun Hashim, Latifah Munirah Kamarudin, et al.. (2018). A study on volatile organic compounds emitted by in-vitro lung cancer cultured cells using gas sensor array and SPME-GCMS. BMC Cancer. 18(1). 362–362. 61 indexed citations
3.
Mashor, ‪Mohd Yusoff, et al.. (2018). Automated Electrocardiogram Signals Based Risk Marker for Early Sudden Cardiac Death Prediction. Journal of Medical Imaging and Health Informatics. 8(9). 1769–1775. 2 indexed citations
4.
Hariharan, M., et al.. (2017). Hybrid PSOGSA Algorithm and Nonlinear Features for Prediction Body Mass Index (BMI) from Speech Signals. Journal of Medical Imaging and Health Informatics. 7(2). 305–315. 1 indexed citations
5.
Zakaria, Ammar, et al.. (2016). A Study on VOCs Released by Lung Cancer Cell Line Using GCMS-SPME. Procedia Chemistry. 20. 1–7. 7 indexed citations
6.
Hariharan, M., et al.. (2015). Classification of muscle fatigue condition using multi-sensors. 200–205. 7 indexed citations
7.
Hariharan, M., et al.. (2015). Estimation of BMI status via speech signals using short-term cepstral features. 363. 195–199. 2 indexed citations
8.
Zakaria, Ammar, Mohammad Iqbal Omar, Ali Yeon Md Shakaff, et al.. (2015). In-vitro diagnosis of single and poly microbial species targeted for diabetic foot infection using e-nose technology. BMC Bioinformatics. 16(1). 158–158. 33 indexed citations
9.
Hariharan, M., et al.. (2015). Assessment muscle fatigue using statistical study and classification: A review. 55. 206–211. 4 indexed citations
10.
Balakrishnan, S. R., et al.. (2015). A Point-of-Care Immunosensor for Human Chorionic Gonadotropin in Clinical Urine Samples Using a Cuneated Polysilicon Nanogap Lab-on-Chip. PLoS ONE. 10(9). e0137891–e0137891. 45 indexed citations
11.
Abdullah, Azian Azamimi, Mohammad Iqbal Omar, Ammar Zakaria, et al.. (2014). Comparison of various pattern recognition techniques based on e-nose for identifying bacterial species in diabetic wound infections. WIT transactions on information and communication technologies. 1. 43–60. 5 indexed citations
12.
Hariharan, M., et al.. (2014). Assessment of knee joint abnormality using Acoustic Emission sensors. 378–383. 6 indexed citations
13.
Abdullah, Azian Azamimi, Mohammad Iqbal Omar, Ammar Zakaria, et al.. (2014). Multivariate Prediction Model for Early Detection and Classification of Bacterial Species in Diabetic Foot Ulcers. 32–39. 2 indexed citations
14.
Yuvaraj, Rajamanickam, M. Murugappan, Norlinah Mohamed Ibrahim, et al.. (2014). Emotion classification in Parkinson's disease by higher-order spectra and power spectrum features using EEG signals: A comparative study. Journal of Integrative Neuroscience. 13(1). 89–120. 33 indexed citations
15.
Yuvaraj, Rajamanickam, M. Murugappan, Norlinah Mohamed Ibrahim, et al.. (2014). Optimal set of EEG features for emotional state classification and trajectory visualization in Parkinson's disease. International Journal of Psychophysiology. 94(3). 482–495. 51 indexed citations
16.
17.
Omar, Mohammad Iqbal, Ammar Zakaria, Azian Azamimi Abdullah, et al.. (2013). Diagnosis of bacteria for diabetic foot infection using electronic nose technology. 11. 114–118. 4 indexed citations
18.
Yuvaraj, Rajamanickam, M. Murugappan, Mohammad Iqbal Omar, et al.. (2013). Emotion processing in Parkinson's disease: an EEG spectral power study. International Journal of Neuroscience. 124(7). 491–502. 11 indexed citations
19.
Salim, M. S., et al.. (2013). Optimization of Power Consumption for Centrifugation Process Based on Attenuation Measurements. Journal of Physics Conference Series. 423. 12061–12061. 1 indexed citations
20.
Murugappan, M., et al.. (2012). Early prediction of Cardiovascular Diseases using ECG signal: Review. 48–53. 14 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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