Fatih G. Sen

60 total papers · 2.0k total citations
35 papers, 1.7k citations indexed

About

Fatih G. Sen is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Fatih G. Sen has authored 35 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Materials Chemistry, 18 papers in Electrical and Electronic Engineering and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Fatih G. Sen's work include Chalcogenide Semiconductor Thin Films (10 papers), Machine Learning in Materials Science (10 papers) and Quantum Dots Synthesis And Properties (9 papers). Fatih G. Sen is often cited by papers focused on Chalcogenide Semiconductor Thin Films (10 papers), Machine Learning in Materials Science (10 papers) and Quantum Dots Synthesis And Properties (9 papers). Fatih G. Sen collaborates with scholars based in United States, Canada and China. Fatih G. Sen's co-authors include Maria K. Y. Chan, Jianguo Wen, Wenjiang Ding, Di‐Jia Liu, Jeffery P. Greeley, Lina Chong, Joseph Kubal, Jianxin Zou, Heather M. Barkholtz and A.T. Alpas and has published in prestigious journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Fatih G. Sen

32 papers receiving 1.6k citations

Hit Papers

Ultralow-loading platinum... 2018 2026 2020 2023 2018 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fatih G. Sen 980 913 849 153 146 35 1.7k
Maxime J.‐F. Guinel 550 0.6× 359 0.4× 1.0k 1.2× 146 1.0× 76 0.5× 55 1.6k
Qingming Deng 576 0.6× 577 0.6× 1.5k 1.8× 134 0.9× 168 1.2× 61 2.1k
Aaron M. Holder 700 0.7× 595 0.7× 1.4k 1.7× 133 0.9× 256 1.8× 45 2.2k
Kiran Mathew 707 0.7× 840 0.9× 1.8k 2.1× 75 0.5× 46 0.3× 34 2.2k
Zhengzheng Chen 694 0.7× 1.1k 1.2× 981 1.2× 124 0.8× 71 0.5× 33 1.8k
Xiaocang Han 487 0.5× 574 0.6× 953 1.1× 149 1.0× 38 0.3× 45 1.5k
S. Romani 927 0.9× 690 0.8× 1.0k 1.2× 40 0.3× 123 0.8× 42 1.7k
Donny Winston 729 0.7× 356 0.4× 1.2k 1.5× 238 1.6× 117 0.8× 22 2.1k
Shan Pang 1.1k 1.1× 1.3k 1.4× 1.5k 1.8× 53 0.3× 54 0.4× 37 2.2k
Cody Friesen 706 0.7× 528 0.6× 516 0.6× 124 0.8× 232 1.6× 34 1.3k

Countries citing papers authored by Fatih G. Sen

Since Specialization
Citations

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

Fields of papers citing papers by Fatih G. Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fatih G. Sen. 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 Fatih G. Sen. The network helps show where Fatih G. Sen may publish in the future.

Co-authorship network of co-authors of Fatih G. Sen

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

All Works

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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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