Ender Ercan

947 citations
34 papers · 831 indexed · h-index 18

Impact in

Papers in

Ender Ercan

33 papers receiving 822 citations

Peers

Ender Ercan
Comparison fields: 5 of 43
  • Polymers and Plastics 355
  • Electrical and Electronic Engineering 731
  • Cellular and Molecular Neuroscience 155
  • Materials Chemistry 257
  • Bioengineering 24
Replace Tim Leydecker with:
Tim Leydecker France
Minhwan Lee South Korea
Seung Ju Kim South Korea
Yun‐Chi Chiang Taiwan
Sha Nie China
Hai Zhong China
Sonali Das United States
Lanyi Xiang China
Younggul Song South Korea
Na‐Jun Li China
Ender Ercan relative to Tim Leydecker France Tim Leydecker's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ender Ercan

Since Specialization
Citations

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

Fields of papers citing papers by Ender Ercan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ender Ercan, 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 Ender Ercan Line = papers co-authored together Ender Ercan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018103
2 201770
3 201970
4 202165
5 201864
6 202259
7 202150
8 202032
9 202129
10 202025
11 202219
12 202219
13 201819
14 202119
15 202119
16 202218
17 202218
18 202017
19 202315
20 202113

About Ender Ercan

Ender Ercan is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Bioengineering and Biomaterials, having authored 34 papers that have together received 831 indexed citations. Recurring topics across this work include Conducting polymers and applications (15 papers), Advanced Memory and Neural Computing (15 papers), Perovskite Materials and Applications (12 papers), Photoreceptor and optogenetics research (9 papers), Organic Electronics and Photovoltaics (8 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Transition Metal Oxide Nanomaterials (3 papers) and Neural Networks and Reservoir Computing (3 papers). The work is most often cited by research in Polymers and Plastics (355 citations), Electrical and Electronic Engineering (731 citations), Cellular and Molecular Neuroscience (155 citations), Materials Chemistry (257 citations) and Bioengineering (24 citations). Ender Ercan has collaborated with scholars based in Taiwan, France and Japan. Frequent co-authors include Wen‐Chang Chen, Chu‐Chen Chueh, Yan‐Cheng Lin, Jung‐Yao Chen, Weichen Yang, Ping‐Chun Tsai, Li‐Che Hsu, Shih‐Huang Tung, Yun‐Chi Chiang and Chien‐Chung Shih. Their work appears in journals such as ACS Applied Materials & Interfaces, Advanced Electronic Materials, Advanced Functional Materials, Small and Advanced Optical Materials.

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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