Bassem Tossoun

457 total citations
37 papers, 270 citations indexed

About

Bassem Tossoun is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Bassem Tossoun has authored 37 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 23 papers in Artificial Intelligence and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Bassem Tossoun's work include Photonic and Optical Devices (32 papers), Neural Networks and Reservoir Computing (23 papers) and Advanced Memory and Neural Computing (15 papers). Bassem Tossoun is often cited by papers focused on Photonic and Optical Devices (32 papers), Neural Networks and Reservoir Computing (23 papers) and Advanced Memory and Neural Computing (15 papers). Bassem Tossoun collaborates with scholars based in United States, Greece and Germany. Bassem Tossoun's co-authors include Di Liang, Raymond G. Beausoleil, Géza Kurczveil, Stanley Cheung, John Paul Strachan, Andréas Beling, Zhuoran Fang, Antoine Descos, Chong Zhang and Zhihong Huang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Optics Letters.

In The Last Decade

Bassem Tossoun

31 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bassem Tossoun United States	9	263	133	65	16	14	37	270
Stanley Cheung United States	11	350 1.3×	168 1.3×	81 1.2×	15 0.9×	13 0.9×	50	363
Jinlong Xiang China	8	254 1.0×	149 1.1×	81 1.2×	8 0.5×	5 0.4×	17	278
Armin Mehrabian United States	8	306 1.2×	289 2.2×	44 0.7×	23 1.4×	4 0.3×	12	356
Zibo Hu United States	7	223 0.8×	200 1.5×	55 0.8×	44 2.8×	4 0.3×	15	265
Yoojin Ban Belgium	12	422 1.6×	97 0.7×	122 1.9×	10 0.6×	7 0.5×	63	433
Renjing Xu Hong Kong	4	194 0.7×	67 0.5×	100 1.5×	25 1.6×	2 0.1×	9	250
Nicola Peserico United States	10	259 1.0×	160 1.2×	52 0.8×	45 2.8×	4 0.3×	43	285
Prometheus DasMahapatra Spain	6	285 1.1×	178 1.3×	68 1.0×	8 0.5×	4 0.3×	12	299
Guan-Lin Su United States	11	251 1.0×	56 0.4×	91 1.4×	17 1.1×	7 0.5×	36	284
Frank Brückerhoff‐Plückelmann Germany	10	259 1.0×	189 1.4×	44 0.7×	29 1.8×	4 0.3×	24	304

Countries citing papers authored by Bassem Tossoun

Since Specialization

Citations

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

Fields of papers citing papers by Bassem Tossoun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bassem Tossoun

This figure shows the co-authorship network connecting the top 25 collaborators of Bassem Tossoun. A scholar is included among the top collaborators of Bassem Tossoun 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 Bassem Tossoun. Bassem Tossoun 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

Cheung, Stanley, Yuan Yuan, Bassem Tossoun, et al.. (2025). Heterogeneous III-V/Si micro-ring laser array with multi-state non-volatile memory for ternary content-addressable memories. Nature Communications. 16(1). 5020–5020.

Peng, Yiwei, Xinling Yu, Thomas Van Vaerenbergh, et al.. (2025). Photonic KAN: a Kolmogorov-Arnold Network Inspired Efficient Neuromorphic Accelerator. W2A.40–W2A.40.

Xiao, Xian, Stanley Cheung, Bassem Tossoun, et al.. (2024). Optical Neural Networks with Tensor Compression and Photonic Memory. Tu3F.5–Tu3F.5. 1 indexed citations

Tossoun, Bassem, et al.. (2024). A Silicon Photonic Universal Cellular Automaton. 1–2. 1 indexed citations

Cheung, Stanley, Bassem Tossoun, Yuan Yuan, et al.. (2024). Energy efficient photonic memory based on electrically programmable embedded III-V/Si memristors: switches and filters. SHILAP Revista de lepidopterología. 3(1). 8 indexed citations

Tossoun, Bassem, Di Liang, Stanley Cheung, et al.. (2024). High-speed and energy-efficient non-volatile silicon photonic memory based on heterogeneously integrated memresonator. Nature Communications. 15(1). 551–551. 37 indexed citations

Cheung, Stanley, Di Liang, Yuan Yuan, et al.. (2024). Ultra‐Power‐Efficient, Electrically Programmable, Multi‐State Photonic Flash Memory on a Heterogeneous III‐V/Si Platform. Laser & Photonics Review. 18(10). 4 indexed citations

Giamougiannis, George, Christos Pappas, Apostolos Tsakyridis, et al.. (2024). 20 GHz Silicon Integrated Optical Ternary Content Addressable Memory (CAM) Cell. Zenodo (CERN European Organization for Nuclear Research). W1F.4–W1F.4. 1 indexed citations

Fang, Zhuoran, Bassem Tossoun, Antoine Descos, et al.. (2023). Fast and Energy‐Efficient Non‐Volatile III‐V‐on‐Silicon Photonic Phase Shifter Based on Memristors. Advanced Optical Materials. 11(24). 7 indexed citations

10.

Fang, Zhuoran, Rui Chen, Bassem Tossoun, et al.. (2023). Non-volatile materials for programmable photonics. APL Materials. 11(10). 20 indexed citations

11.

Fang, Zhuoran, Bassem Tossoun, Antoine Descos, et al.. (2023). High-speed and energy-efficient non-volatile memristive III-V-on-silicon photonic phase shifter. W3G.3–W3G.3. 1 indexed citations

12.

Tossoun, Bassem. (2023). Silicon photonics for energy-efficient neuromorphic computing. 4–4.

13.

Tossoun, Bassem, Aashu Jha, George Giamougiannis, et al.. (2023). Heterogeneously Integrated III–V on Silicon Photonics for Neuromorphic Computing. 33. 1–2. 1 indexed citations

14.

Cheung, Stanley, Bassem Tossoun, Yuan Yuan, et al.. (2023). Non-Volatile Memristive III-V/Si Photonics. 1–2. 6 indexed citations

15.

Giamougiannis, George, Bassem Tossoun, Raymond G. Beausoleil, & Géza Kurczveil. (2023). Heterogeneous III-V-on-Silicon photonic Non-Linear Activation Function for Scalable Photonic Neural Networks. 1–3. 1 indexed citations

16.

Cheung, Stanley, Bassem Tossoun, Yuan Yuan, et al.. (2022). Heterogeneous III-V/Si Non-Volatile Optical Memory: A Mach-Zehnder Memristor. Conference on Lasers and Electro-Optics. STu5G.6–STu5G.6. 8 indexed citations

17.

Liang, Di, Sudharsanan Srinivasan, Géza Kurczveil, et al.. (2022). An Energy-Efficient and Bandwidth-Scalable DWDM Heterogeneous Silicon Photonics Integration Platform. IEEE Journal of Selected Topics in Quantum Electronics. 28(6). 1–19. 33 indexed citations

18.

Tossoun, Bassem, Di Liang, & Raymond G. Beausoleil. (2022). Heterogeneously Integrated III/V-on-Si Injection Seeding Laser Neuron. 2 indexed citations

19.

Tossoun, Bassem, Xia Sheng, John Paul Strachan, Di Liang, & Raymond G. Beausoleil. (2021). Memristor Photonics. Tu5B.3–Tu5B.3. 8 indexed citations

20.

Tossoun, Bassem, Xia Sheng, John Paul Strachan, Di Liang, & Raymond G. Beausoleil. (2020). Hybrid silicon MOS optoelectronic memristor with non-volatile memory. 1–2. 5 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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