Khalid B. Mirza

772 total citations
62 papers, 493 citations indexed

About

Khalid B. Mirza is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Khalid B. Mirza has authored 62 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 12 papers in Cellular and Molecular Neuroscience and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Khalid B. Mirza's work include Neuroscience and Neural Engineering (10 papers), Robot Manipulation and Learning (7 papers) and Vagus Nerve Stimulation Research (6 papers). Khalid B. Mirza is often cited by papers focused on Neuroscience and Neural Engineering (10 papers), Robot Manipulation and Learning (7 papers) and Vagus Nerve Stimulation Research (6 papers). Khalid B. Mirza collaborates with scholars based in India, United Kingdom and United States. Khalid B. Mirza's co-authors include David E. Orin, Konstantin Nikolić, C. Toumazou, Abdelaziz Y. Elzouki, Hai‐Feng Ji, Yen Wei, Indraneil Mukherjee, Stanley C. Ahalt, Prasoon Kumar and Amir Eftekhar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Macromolecules.

In The Last Decade

Khalid B. Mirza

58 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khalid B. Mirza India 13 155 123 53 52 51 62 493
Cheng Peng China 12 125 0.8× 16 0.1× 13 0.2× 94 1.8× 15 0.3× 47 456
Mossab Y. Saeed United States 14 357 2.3× 27 0.2× 32 0.6× 223 4.3× 21 0.4× 39 857
Qi Luo China 12 92 0.6× 12 0.1× 67 1.3× 56 1.1× 20 0.4× 44 410
Rahul N. Doshi United States 24 248 1.6× 38 0.3× 71 1.3× 98 1.9× 2 0.0× 99 3.0k
Yan-Jun Chen China 15 204 1.3× 7 0.1× 20 0.4× 77 1.5× 12 0.2× 64 695
Jun Tamura Japan 17 37 0.2× 119 1.0× 16 0.3× 37 0.7× 18 0.4× 106 842
Xiaoling Wu China 15 48 0.3× 11 0.1× 37 0.7× 270 5.2× 33 0.6× 38 937
Keiko Ishida United States 12 252 1.6× 9 0.1× 52 1.0× 56 1.1× 6 0.1× 36 625
Zurab Machaidze United States 10 428 2.8× 36 0.3× 22 0.4× 32 0.6× 5 0.1× 22 675
Joseph D. Kuebler United States 7 280 1.8× 23 0.2× 24 0.5× 138 2.7× 2 0.0× 13 637

Countries citing papers authored by Khalid B. Mirza

Since Specialization
Citations

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

Fields of papers citing papers by Khalid B. Mirza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khalid B. Mirza. 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 Khalid B. Mirza. The network helps show where Khalid B. Mirza may publish in the future.

Co-authorship network of co-authors of Khalid B. Mirza

This figure shows the co-authorship network connecting the top 25 collaborators of Khalid B. Mirza. A scholar is included among the top collaborators of Khalid B. Mirza 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 Khalid B. Mirza. Khalid B. Mirza 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.
Mirza, Khalid B., et al.. (2025). Deep learning on edge and cloud for intelligent monitoring and decision making in artificial pancreas. Expert Systems with Applications. 295. 128833–128833.
2.
Mirza, Khalid B., et al.. (2024). EpiNET: AN OPTIMIZED, RESOURCE EFFICIENT DEEP GRU-LSTM NETWORK FOR EPILEPTIC SEIZURE PREDICTION. Biomedical Engineering Applications Basis and Communications. 36(4). 4 indexed citations
3.
Mirza, Khalid B., et al.. (2024). Continuous Glucose, Insulin and Lifestyle Data Augmentation in Artificial Pancreas Using Adaptive Generative and Discriminative Models. IEEE Journal of Biomedical and Health Informatics. 28(8). 4963–4974. 4 indexed citations
4.
Mirza, Khalid B., et al.. (2023). Analysis of differences in EEG Signal features between Visual Imagery and Perception. 1–6. 1 indexed citations
5.
Mirza, Khalid B., et al.. (2023). InsNET: Accurate Basal and Bolus Insulin Dose Prediction for Closed Loop Diabetes Management. PubMed. 2023. 1–4. 2 indexed citations
6.
Mirza, Khalid B., et al.. (2022). Multimodal Simultaneous Amperometry and Electrochemical Impedance Spectroscopy Measurement for Biosensing Applications. 2022 IEEE 19th India Council International Conference (INDICON). 1–5. 1 indexed citations
7.
Mirza, Khalid B., et al.. (2022). LS-GRUNet: Glucose Forecasting Using Deep Learning for Closed-loop Diabetes Management. 2022 IEEE 7th International conference for Convergence in Technology (I2CT). 1–6. 5 indexed citations
8.
Mirza, Khalid B., et al.. (2019). Closed-Loop Implantable Therapeutic Neuromodulation Systems Based on Neurochemical Monitoring. Frontiers in Neuroscience. 13. 808–808. 45 indexed citations
9.
Cork, Simon C., Amir Eftekhar, Khalid B. Mirza, et al.. (2017). Extracellular pH monitoring for use in closed-loop vagus nerve stimulation. Journal of Neural Engineering. 15(1). 16001–16001. 23 indexed citations
10.
Mirza, Khalid B., et al.. (2013). The Prevalence And Severity of Periodontal Disease in Different Stages of Pregnancy and in Women Taking Oral (Contraceptive Pills) in Sulaimani City, Kurdistan Region, Iraq. SHILAP Revista de lepidopterología. 4(1). 61–73. 2 indexed citations
11.
Mukherjee, Indraneil, et al.. (2013). Novel Diacetylinic Aryloxysilane Polymers: A New Thermally Cross-Linkable High Temperature Polymer System. Macromolecules. 46(11). 4370–4377. 13 indexed citations
12.
Mirza, Khalid B., et al.. (2010). Effects of Oral Contraceptives Intake On the Gingiva. Iraqi postgraduate Medical Journal. 9(3). 335–341. 2 indexed citations
13.
Bradley, Jean‐Claude, et al.. (2008). Optimization of the Ugi Reaction Using Parallel Synthesis and Automated Liquid Handling. Journal of Visualized Experiments. 3 indexed citations
14.
Mirza, Khalid B., et al.. (2005). Experience with levamisole in frequently relapsing, steroid-dependent nephrotic syndrome. Pediatric Nephrology. 21(2). 201–205. 32 indexed citations
15.
Ahalt, Stanley C., et al.. (2002). Neural network control of force distribution for power grasp. 746–751. 7 indexed citations
16.
Mirza, Khalid B. & Abdelaziz Y. Elzouki. (1997). Peritonitis in continuous ambulatory peritoneal dialysis in children living in Saudi Arabia. Pediatric Nephrology. 11(3). 325–327. 12 indexed citations
17.
Elzouki, Abdelaziz Y., et al.. (1996). Brucella endocarditis associated with glomerulonephritis and renal vasculitis. Pediatric Nephrology. 10(6). 748–751. 17 indexed citations
18.
Elzouki, Abdelaziz Y., et al.. (1996). Thin-section computed tomography scans detect medullary cysts in patients believed to have juvenile nephronophthisis. American Journal of Kidney Diseases. 27(2). 216–219. 5 indexed citations
19.
Elzouki, Abdelaziz Y. & Khalid B. Mirza. (1994). Clinical quiz. Pediatric Nephrology. 8(4). 525–526. 1 indexed citations
20.
Mirza, Khalid B.. (1992). Force distribution formulation and analysis for multiple-contact power grasp /. OhioLink ETD Center (Ohio Library and Information Network). 1 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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