Alì Ibrahim

1.6k total citations
57 papers, 508 citations indexed

About

Alì Ibrahim is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Alì Ibrahim has authored 57 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Biomedical Engineering, 26 papers in Cognitive Neuroscience and 23 papers in Electrical and Electronic Engineering. Recurrent topics in Alì Ibrahim's work include Advanced Sensor and Energy Harvesting Materials (25 papers), Tactile and Sensory Interactions (21 papers) and Advanced Memory and Neural Computing (12 papers). Alì Ibrahim is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (25 papers), Tactile and Sensory Interactions (21 papers) and Advanced Memory and Neural Computing (12 papers). Alì Ibrahim collaborates with scholars based in Italy, Lebanon and France. Alì Ibrahim's co-authors include Maurizio Valle, Luigi Pinna, Lucia Seminara, Mostafa Rizk, Paolo Gastaldo, Gabriele Moser, Per Johansson, Charbel Khalil, Michele Magno and Nada Alaaeddine and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.

In The Last Decade

Alì Ibrahim

53 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alì Ibrahim Italy 14 212 197 156 85 63 57 508
Nima Karimian United States 16 250 1.2× 233 1.2× 185 1.2× 107 1.3× 272 4.3× 44 785
Yuxuan Luo China 15 363 1.7× 303 1.5× 90 0.6× 109 1.3× 7 0.1× 70 822
Sang‐Hui Park South Korea 15 305 1.4× 285 1.4× 143 0.9× 58 0.7× 6 0.1× 47 685
Qinjian Li China 10 205 1.0× 22 0.1× 52 0.3× 76 0.9× 20 0.3× 25 483
Steven F. Barrett United States 12 90 0.4× 220 1.1× 25 0.2× 34 0.4× 23 0.4× 123 705
Hung-Wei Lin Taiwan 14 63 0.3× 140 0.7× 46 0.3× 77 0.9× 9 0.1× 57 552
Dorra Sellami Masmoudi Tunisia 11 143 0.7× 154 0.8× 30 0.2× 123 1.4× 5 0.1× 67 400
Michael Opoku Agyeman United Kingdom 13 52 0.2× 265 1.3× 40 0.3× 54 0.6× 132 2.1× 79 576
Pradeep Kumar India 11 142 0.7× 263 1.3× 22 0.1× 29 0.3× 14 0.2× 89 429
Steve C. Chiu United States 10 100 0.5× 46 0.2× 72 0.5× 36 0.4× 12 0.2× 47 324

Countries citing papers authored by Alì Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Alì Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alì Ibrahim

This figure shows the co-authorship network connecting the top 25 collaborators of Alì Ibrahim. A scholar is included among the top collaborators of Alì 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 Alì Ibrahim. Alì 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.
2.
Gianoglio, Christian, et al.. (2024). Multisensory Wearable Glove for Object Recognition Based Embedded Machine Learning. CINECA IRIS Institutial Research Information System (University of Genoa). 1–4.
3.
Gianoglio, Christian, et al.. (2024). Neuromorphic Tactile Sensing System for Textural Features Classification. IEEE Sensors Journal. 24(10). 17193–17207. 4 indexed citations
4.
Marcellis, Andrea De, et al.. (2023). FPGA-Based Tactile Sensory Platform with Optical Fiber Data Link for Feedback Systems in Prosthetics. Electronics. 12(3). 627–627. 4 indexed citations
5.
6.
Ibrahim, Alì, et al.. (2022). Spiking Neural Network Based on Threshold Encoding For Texture Recognition. CINECA IRIS Institutial Research Information System (University of Genoa). 1–4. 2 indexed citations
7.
8.
Ibrahim, Alì, et al.. (2021). Efficient Machine Learning Algorithm for Embedded Tactile Data Processing. IRIS Research product catalog (Sapienza University of Rome). 1–5. 3 indexed citations
9.
Ibrahim, Alì, et al.. (2021). Efficient FPGA Implementation of Approximate Singular Value Decomposition based on Shallow Neural Networks. CINECA IRIS Institutial Research Information System (University of Genoa). 3 indexed citations
10.
Ibrahim, Alì, et al.. (2020). Near Sensors Computation based on Embedded Machine Learning for Electronic Skin. Procedia Manufacturing. 52. 295–300. 2 indexed citations
11.
Ibrahim, Alì, et al.. (2020). Embedded Feedback System for Upper Limb Prosthetics. CINECA IRIS Institutial Research Information System (University of Genoa). 20. 1–4. 2 indexed citations
12.
Ibrahim, Alì, et al.. (2019). DCNN for Tactile Sensory Data Classification based on Transfer Learning. CINECA IRIS Institutial Research Information System (University of Genoa). 237–240. 17 indexed citations
13.
Khalil, Charbel, et al.. (2019). Anti-proliferative effects of mesenchymal stem cells (MSCs) derived from multiple sources on ovarian cancer cell lines: an in-vitro experimental study. Journal of Ovarian Research. 12(1). 70–70. 38 indexed citations
14.
Ibrahim, Alì, Michele Magno, Manuel Eggimann, et al.. (2019). An Energy Efficient System for Touch Modality Classification in Electronic Skin Applications. CINECA IRIS Institutial Research Information System (University of Genoa). 65. 1–4. 11 indexed citations
15.
Ibrahim, Alì & Maurizio Valle. (2018). Real-Time Embedded Machine Learning for Tensorial Tactile Data Processing. IEEE Transactions on Circuits and Systems I Regular Papers. 65(11). 3897–3906. 19 indexed citations
16.
Ibrahim, Alì, et al.. (2017). Real-Time Digital Signal Processing Based on FPGAs for Electronic Skin Implementation †. Sensors. 17(3). 558–558. 17 indexed citations
17.
Ibrahim, Alì, et al.. (2017). Approximate Multipliers Based on Inexact Adders for Energy Efficient Data Processing. CINECA IRIS Institutial Research Information System (University of Genoa). 125–128. 17 indexed citations
18.
Pinna, Luigi, Alì Ibrahim, & Maurizio Valle. (2017). Interface Electronics for Tactile Sensors Based on Piezoelectric Polymers. IEEE Sensors Journal. 17(18). 5937–5947. 21 indexed citations
19.
Camus, Vincent, et al.. (2017). Approximate FPGA Implementation of CORDIC for Tactile Data Processing Using Speculative Adders. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 41–44. 11 indexed citations
20.
Davis, Al, et al.. (2003). Perception Coprocessors for Embedded Systems.. 109–116. 6 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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