Adam Khalifa

733 total citations
34 papers, 486 citations indexed

About

Adam Khalifa is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Adam Khalifa has authored 34 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 18 papers in Cellular and Molecular Neuroscience and 12 papers in Biomedical Engineering. Recurrent topics in Adam Khalifa's work include Neuroscience and Neural Engineering (18 papers), Wireless Power Transfer Systems (16 papers) and Energy Harvesting in Wireless Networks (15 papers). Adam Khalifa is often cited by papers focused on Neuroscience and Neural Engineering (18 papers), Wireless Power Transfer Systems (16 papers) and Energy Harvesting in Wireless Networks (15 papers). Adam Khalifa collaborates with scholars based in United States, Australia and India. Adam Khalifa's co-authors include Ralph Etienne‐Cummings, Sydney S. Cash, Milutin Stanaćević, Yasha Karimi, Nian X. Sun, Nitish V. Thakor, Qihong Wang, Aatmesh Shrivastava, Ankit Mittal and Mohsen Zaeimbashi and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Adam Khalifa

29 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adam Khalifa United States	11	298	232	169	59	57	34	486
Fatima Alrashdan United States	9	193 0.6×	202 0.9×	149 0.9×	36 0.6×	36 0.6×	15	372
Amanda Singer United States	10	337 1.1×	365 1.6×	328 1.9×	100 1.7×	52 0.9×	12	666
Joshua Chen United States	10	247 0.8×	308 1.3×	225 1.3×	54 0.9×	47 0.8×	18	567
Zhanghao Yu United States	11	414 1.4×	268 1.2×	238 1.4×	77 1.3×	35 0.6×	21	670
Gaëlle Lissorgues France	13	332 1.1×	234 1.0×	252 1.5×	65 1.1×	36 0.6×	73	669
Hongming Lyu China	12	329 1.1×	253 1.1×	313 1.9×	107 1.8×	14 0.2×	35	603
Mohammad Meraj Ghanbari United States	9	343 1.2×	410 1.8×	298 1.8×	86 1.5×	17 0.3×	16	636
Seungwon Yoo South Korea	8	244 0.8×	370 1.6×	131 0.8×	42 0.7×	22 0.4×	12	520
Soochang Lee South Korea	12	369 1.2×	100 0.4×	110 0.7×	94 1.6×	131 2.3×	31	580
Hargsoon Yoon United States	10	164 0.6×	130 0.6×	112 0.7×	64 1.1×	13 0.2×	54	334

Countries citing papers authored by Adam Khalifa

Since Specialization

Citations

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

Fields of papers citing papers by Adam Khalifa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Khalifa

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

All Works

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20 of 20 papers shown

Virmani, Deepali, et al.. (2025). A low-latency neural inference framework for real-time handwriting recognition from EEG signals on an edge device. Scientific Reports. 15(1). 41040–41040.

Chatterjee, Baibhab, et al.. (2024). Body-Coupled Communication and Energy Harvesting Smart Textile System for Next-Generation Wearables. 1–4. 2 indexed citations

Farina, E. M., et al.. (2024). Efficient Galvanic Body-Coupled Powering for Wireless Implanted Neurostimulators. 1–5. 2 indexed citations

Mahmud, Sultan, et al.. (2024). Harnessing metamaterials for efficient wireless power transfer for implantable medical devices. SHILAP Revista de lepidopterología. 10(1). 7–7. 10 indexed citations

Wu, Han, et al.. (2024). Adaptive Impedance Matching with Fault Ride Through in Wireless Power Transfer for Implanted Medical Devices. PubMed. 2024. 1–4.

Khalifa, Adam, et al.. (2023). Machine-Learning Methods for Speech and Handwriting Detection Using Neural Signals: A Review. Sensors. 23(12). 5575–5575. 4 indexed citations

Khalifa, Adam, et al.. (2023). Fabrication and Assembly Techniques for Sub-mm Battery-Free Epicortical Implants. Micromachines. 14(2). 476–476. 4 indexed citations

Khalifa, Adam, Mohsen Zaeimbashi, Alexander D. Tang, et al.. (2023). Magnetic temporal interference for noninvasive and focal brain stimulation. Journal of Neural Engineering. 20(1). 16002–16002. 12 indexed citations

Khalifa, Adam, Ankit Mittal, Ralph Etienne‐Cummings, et al.. (2022). Analysis and Design Methodology of RF Energy Harvesting Rectifier Circuit for Ultra-Low Power Applications. SHILAP Revista de lepidopterología. 3. 82–96. 20 indexed citations

10.

Khalifa, Adam, et al.. (2021). A simple method for implanting free-floating microdevices into the nervous tissue. Journal of Neural Engineering. 18(4). 45004–45004. 6 indexed citations

11.

Khalifa, Adam, Sunwoo Lee, Alyosha Molnar, & Sydney S. Cash. (2021). Injectable wireless microdevices: challenges and opportunities. SHILAP Revista de lepidopterología. 7(1). 19–19. 19 indexed citations

12.

Khalifa, Adam, Mehdi Nasrollahpour, Neville Sun, et al.. (2021). Magnetoelectric Versus Inductive Power Delivery for Sub-mm Receivers. 1–4. 5 indexed citations

13.

Khalifa, Adam, et al.. (2021). Tracking the Migration of Injectable Microdevices in the Rodent Brain Using a 9.4T Magnetic Resonance Imaging Scanner. Frontiers in Neuroscience. 15. 738589–738589.

14.

Nasrollahpour, Mehdi, Mohsen Zaeimbashi, Adam Khalifa, et al.. (2021). Simulation and Experimental Evaluation of Energy Harvesting Circuits with Magnetoelectric Antennas. 63–66. 3 indexed citations

15.

Khalifa, Adam, Mohsen Zaeimbashi, Tony Zhou, et al.. (2021). The development of microfabricated solenoids with magnetic cores for micromagnetic neural stimulation. Microsystems & Nanoengineering. 7(1). 91–91. 17 indexed citations

16.

Khalifa, Adam, et al.. (2020). A Miniature Wireless Silicon-on-Insulator Image Sensor for Brain Fluorescence Imaging. PubMed. 105. 3403–3406. 4 indexed citations

17.

Khalifa, Adam, Yuxin Liu, Zhenan Bao, & Ralph Etienne‐Cummings. (2020). A Compact Free-Floating Device for Passive Charge-Balanced Neural Stimulation using PEDOT/CNT microelectrodes. 3375–3378. 2 indexed citations

18.

Khalifa, Adam, Yuxin Liu, Yasha Karimi, et al.. (2019). The Microbead: A 0.009 mm³ Implantable Wireless Neural Stimulator. IEEE Transactions on Biomedical Circuits and Systems. 13(5). 971–985. 84 indexed citations

19.

Khalifa, Adam, Yasha Karimi, Milutin Stanaćević, & Ralph Etienne‐Cummings. (2017). Novel integration and packaging concepts of highly miniaturized inductively powered neural implants. PubMed. 2017. 234–237. 7 indexed citations

20.

Karimi, Yasha, et al.. (2017). Coil array design for maximizing wireless power transfer to sub-mm sized implantable devices. 1–4. 8 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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