Serkan Ateş

1.6k citations
23 papers · 1.1k indexed · h-index 15

Impact in

Papers in

Serkan Ateş

22 papers receiving 1.1k citations

Peers

Serkan Ateş
Comparison fields: 5 of 26
  • Atomic and Molecular Physics, and Optics 1.0k
  • Acoustics and Ultrasonics 21
  • Artificial Intelligence 502
  • Electrical and Electronic Engineering 607
  • Instrumentation 12
Replace M. Glässl with:
M. Glässl Germany
Zhenshan Yang China
Olivier Gazzano France
Ana Predojević Austria
Martin J Cryan United Kingdom
Niccolò Somaschi France
S. M. Ulrich Germany
J. C. Loredo France
Adrien Dousse France
T. Grange France
Serkan Ateş relative to M. Glässl Germany M. Glässl's profile →
Citations per field
00.5×
M. Glässl · 1×
Citations per year

Countries citing papers authored by Serkan Ateş

Since Specialization
Citations

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

Fields of papers citing papers by Serkan Ateş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Serkan Ateş, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Serkan Ateş Line = papers co-authored together Serkan Ateş links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20256
2 20250
3 20248
4 202237
5 20191
6 201461
7 201425
8 201335
9 20131
10 20135
11 201287
12 201242
13 2011119
14 2011112
15 20117
16 201024
17 2009196
18 2009141
19 200821
20 2007153

About Serkan Ateş

Serkan Ateş is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Artificial Intelligence, Materials Chemistry and Biomedical Engineering, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Photonic and Optical Devices (12 papers), Semiconductor Quantum Structures and Devices (12 papers), Photonic Crystals and Applications (4 papers), Diamond and Carbon-based Materials Research (4 papers), Semiconductor Lasers and Optical Devices (4 papers), Strong Light-Matter Interactions (4 papers), Graphene research and applications (3 papers) and Neural Networks and Reservoir Computing (3 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.0k citations), Acoustics and Ultrasonics (21 citations), Artificial Intelligence (502 citations), Electrical and Electronic Engineering (607 citations) and Instrumentation (12 citations). Serkan Ateş has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Andreas Löffler, A. Forchel, Stephan Reitzenstein, Peter Michler, S. M. Ulrich, Kartik Srinivasan, A. Badolato, Peter Lodahl, Marcelo Davanço and Imad Agha. Their work appears in journals such as Physical Review Letters, Physical Review B, Applied Physics Letters, Optics Express and Scientific Reports.

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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