Nathnael Abebe

419 total citations · 1 hit paper
6 papers, 256 citations indexed

About

Nathnael Abebe is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Nathnael Abebe has authored 6 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Electrical and Electronic Engineering and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Nathnael Abebe's work include Photonic and Optical Devices (4 papers), Neural Networks and Reservoir Computing (3 papers) and Physics of Superconductivity and Magnetism (2 papers). Nathnael Abebe is often cited by papers focused on Photonic and Optical Devices (4 papers), Neural Networks and Reservoir Computing (3 papers) and Physics of Superconductivity and Magnetism (2 papers). Nathnael Abebe collaborates with scholars based in United States and Italy. Nathnael Abebe's co-authors include Olav Solgaard, Maziyar Milanizadeh, Andrea Melloni, David A. B. Miller, Francesco Morichetti, Tae‐Won Park, Sunil Pai, Shanhui Fan, Ben Bartlett and Zhanghao Sun and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Nathnael Abebe

5 papers receiving 228 citations

Hit Papers

Experimentally realized in situ backpropagation for deep ... 2023 2026 2024 2025 2023 50 100 150

Peers

Nathnael Abebe
Comparison fields: 5 of 34
  • Electrical and Electronic Engineering 194
  • Artificial Intelligence 181
  • Atomic and Molecular Physics, and Optics 50
  • Condensed Matter Physics 22
  • Instrumentation 16
Replace H. Ollivier with:
H. Ollivier France
Noriyuki Lee Japan
Yujiro Eto Japan
Su-Wei Chang United States
A. Matthew Smith United States
Liang Cui China
Jeffrey A. Grover United States
M. Hijlkema Germany
Lautaro Narváez United States
Mingyong Jing China
H. Ollivier France View profile →
Citations per field, relative to Nathnael Abebe
Nathnael Abebe · 1×
Citations per year, relative to Nathnael Abebe
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Countries citing papers authored by Nathnael Abebe

Since Specialization
Citations

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

Fields of papers citing papers by Nathnael Abebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathnael Abebe

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 0
2
Experimentally realized in situ backpropagation for deep learning in photonic neural networks breakdown →
180
3 17
4 1
5 38
6 20

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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