Mohamed Ibrahim

913 total citations
50 papers, 663 citations indexed

About

Mohamed Ibrahim is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Mohamed Ibrahim has authored 50 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 38 papers in Biomedical Engineering and 11 papers in Mechanical Engineering. Recurrent topics in Mohamed Ibrahim's work include Electrowetting and Microfluidic Technologies (38 papers), Innovative Microfluidic and Catalytic Techniques Innovation (23 papers) and Microfluidic and Capillary Electrophoresis Applications (22 papers). Mohamed Ibrahim is often cited by papers focused on Electrowetting and Microfluidic Technologies (38 papers), Innovative Microfluidic and Catalytic Techniques Innovation (23 papers) and Microfluidic and Capillary Electrophoresis Applications (22 papers). Mohamed Ibrahim collaborates with scholars based in United States, Germany and India. Mohamed Ibrahim's co-authors include Krishnendu Chakrabarty, Ramesh Karri, Jack Tang, Sk Subidh Ali, Ozgur Sinanoglu, Bahar Farahani, Farshad Firouzi, Ulf Schlichtmann, Jeyavijayan Rajendran and Sukanta Bhattacharjee and has published in prestigious journals such as Proceedings of the IEEE, Computer and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Mohamed Ibrahim

47 papers receiving 660 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed Ibrahim United States 15 506 492 157 131 74 50 663
Katherine Shu-Min Li Taiwan 13 303 0.6× 96 0.2× 57 0.4× 132 1.0× 45 0.6× 73 436
Tyson S. Hall United States 12 230 0.5× 134 0.3× 36 0.2× 155 1.2× 41 0.6× 25 446
Hrishikesh Jayakumar United States 14 666 1.3× 98 0.2× 94 0.6× 224 1.7× 247 3.3× 19 783
Christian Sauer Germany 8 298 0.6× 100 0.2× 67 0.4× 73 0.6× 124 1.7× 39 425
Mehdi Saligane United States 15 471 0.9× 116 0.2× 15 0.1× 183 1.4× 57 0.8× 40 590
Sk Subidh Ali United States 13 290 0.6× 126 0.3× 53 0.3× 326 2.5× 10 0.1× 35 478
Tobias Gemmeke Germany 12 338 0.7× 87 0.2× 13 0.1× 88 0.7× 125 1.7× 70 517
Anh Tuan Singapore 13 506 1.0× 73 0.1× 19 0.1× 163 1.2× 70 0.9× 78 652
Tsung-Te Liu Taiwan 12 544 1.1× 147 0.3× 8 0.1× 195 1.5× 70 0.9× 46 649
Robson Luiz Moreno Brazil 12 406 0.8× 321 0.7× 19 0.1× 19 0.1× 35 0.5× 73 533

Countries citing papers authored by Mohamed Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Ibrahim

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Ibrahim. A scholar is included among the top collaborators of Mohamed Ibrahim 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 Mohamed Ibrahim. Mohamed Ibrahim 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.
Wan, Zishen, Mohamed Ibrahim, Jason Jabbour, et al.. (2025). ReCA: Integrated Acceleration for Real-Time and Efficient Cooperative Embodied Autonomous Agents. 982–997. 1 indexed citations
2.
3.
Wan, Zishen, Chaojian Li, Haoran You, et al.. (2024). Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1(1). 53–68. 7 indexed citations
4.
Ibrahim, Mohamed, et al.. (2024). Efficient Design of a Hyperdimensional Processing Unit for Multi-Layer Cognition. 1–6. 3 indexed citations
5.
Ibrahim, Mohamed, Zishen Wan, Haitong Li, et al.. (2024). Special Session: Neuro-Symbolic Architecture Meets Large Language Models: A Memory-Centric Perspective. 11–20. 5 indexed citations
6.
Ibrahim, Mohamed, Zhanwei Zhong, Bhargab B. Bhattacharya, & Krishnendu Chakrabarty. (2021). Efficient Regulation of Synthetic Biocircuits Using Droplet-Aliquot Operations on MEDA Biochips. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(8). 2490–2503. 1 indexed citations
7.
8.
Ibrahim, Mohamed, Bhargab B. Bhattacharya, & Krishnendu Chakrabarty. (2019). BioScan: Parameter-Space Exploration of Synthetic Biocircuits Using MEDA Biochips. 1519–1524. 1 indexed citations
9.
Bhattacharjee, Sukanta, et al.. (2019). Bio-chemical Assay Locking to Thwart Bio-IP Theft. ACM Transactions on Design Automation of Electronic Systems. 25(1). 1–20. 10 indexed citations
10.
Ibrahim, Mohamed, et al.. (2018). Synthesis of Reconfigurable Flow-Based Biochips for Scalable Single-Cell Screening. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 38(12). 2255–2270. 7 indexed citations
11.
Tang, Jack, Mohamed Ibrahim, Krishnendu Chakrabarty, & Ramesh Karri. (2018). Tamper-resistant pin-constrained digital microfluidic biochips. 1–6. 9 indexed citations
12.
Bhattacharjee, Sukanta, Jack Tang, Mohamed Ibrahim, Krishnendu Chakrabarty, & Ramesh Karri. (2018). Locking of biochemical assays for digital microfluidic biochips. 1–6. 25 indexed citations
13.
Tang, Jack, Mohamed Ibrahim, & Krishnendu Chakrabarty. (2018). Randomized Checkpoints: A Practical Defense for Cyber-Physical Microfluidic Systems. IEEE Design and Test. 36(1). 5–13. 13 indexed citations
14.
Ibrahim, Mohamed, et al.. (2018). An Efficient Fault-Tolerant Valve-Based Microfluidic Routing Fabric for Droplet Barcoding in Single-Cell Analysis. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(2). 359–372. 4 indexed citations
15.
Ibrahim, Mohamed, et al.. (2017). Sortex: efficient timing-driven synthesis of reconfigurable flow-based biochips for scalable single-cell screening. International Conference on Computer Aided Design. 623–630. 5 indexed citations
16.
Tang, Jack, Mohamed Ibrahim, Krishnendu Chakrabarty, & Ramesh Karri. (2017). Security Implications of Cyberphysical Flow-Based Microfluidic Biochips. 115–120. 21 indexed citations
17.
Ali, Sk Subidh, Mohamed Ibrahim, Ozgur Sinanoglu, Krishnendu Chakrabarty, & Ramesh Karri. (2016). Microfluidic encryption of on-chip biochemical assays. 152–155. 39 indexed citations
18.
Ibrahim, Mohamed & Krishnendu Chakrabarty. (2016). Digital-Microfluidic Biochips. Computer. 49(6). 8–9. 5 indexed citations
19.
Ibrahim, Mohamed & Krishnendu Chakrabarty. (2015). Error recovery in digital microfluidics for personalized medicine. Design, Automation, and Test in Europe. 247–252. 11 indexed citations
20.
Ibrahim, Mohamed & Krishnendu Chakrabarty. (2015). Efficient Error Recovery in Cyberphysical Digital-Microfluidic Biochips. 1(1). 46–58. 27 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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