C. Cagli
Impact in
- Polymers and Plastics top 2%
- Transition Metal Oxide Nanomaterials
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
Papers in
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- Advanced Memory and Neural Computing 69
- Ferroelectric and Negative Capacitance Devices 62
- Semiconductor materials and devices 29
- CCD and CMOS Imaging Sensors 2
-
- Transition Metal Oxide Nanomaterials 19
- Co-authors
- Daniele Ielmini (28 shared papers)F. Nardi (21 shared papers)Andrea L. Lacaita (7 shared papers)Ugo Russo (4 shared papers)J. Suñé (14 shared papers)L. Perniola (20 shared papers)Ming Liu (7 shared papers)Shibing Long (6 shared papers)
In The Last Decade
C. Cagli
68 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 39
- Polymers and Plastics 869
- Electrical and Electronic Engineering 3.2k
- Cellular and Molecular Neuroscience 850
- Materials Chemistry 732
- Cognitive Neuroscience 162
Countries citing papers authored by C. Cagli
This map shows the geographic impact of C. Cagli'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 C. Cagli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Cagli more than expected).
Fields of papers citing papers by C. Cagli
This network shows the impact of papers produced by C. Cagli. 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 C. Cagli. The network helps show where C. Cagli may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Cagli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 339 | |
| 2 | 2009 | 311 | |
| 3 | 2011 | 196 | |
| 4 | 2010 | 150 | |
| 5 | 2013 | 144 | |
| 6 | 2013 | 139 | |
| 7 | 2007 | 124 | |
| 8 | 2013 | 122 | |
| 9 | 2010 | 110 | |
| 10 | 2009 | 109 | |
| 11 | 2009 | 104 | |
| 12 | 2011 | 104 | |
| 13 | 2013 | 103 | |
| 14 | 2010 | 96 | |
| 15 | 2012 | 95 | |
| 16 | 2011 | 74 | |
| 17 | 2011 | 70 | |
| 18 | 2013 | 70 | |
| 19 | 2011 | 68 | |
| 20 | 2011 | 56 |
About C. Cagli
C. Cagli is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Materials Chemistry, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 69 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (69 papers), Ferroelectric and Negative Capacitance Devices (62 papers), Semiconductor materials and devices (29 papers), Transition Metal Oxide Nanomaterials (19 papers), Electronic and Structural Properties of Oxides (12 papers), Neuroscience and Neural Engineering (4 papers), Phase-change materials and chalcogenides (3 papers) and CCD and CMOS Imaging Sensors (2 papers). The work is most often cited by research in Polymers and Plastics (869 citations), Electrical and Electronic Engineering (3.2k citations), Cellular and Molecular Neuroscience (850 citations), Materials Chemistry (732 citations) and Cognitive Neuroscience (162 citations). C. Cagli has collaborated with scholars based in France, Italy and Spain. Frequent co-authors include Daniele Ielmini, F. Nardi, Andrea L. Lacaita, Ugo Russo, J. Suñé, L. Perniola, Ming Liu, Shibing Long, E. Miranda and Xiaojuan Lian. Their work appears in journals such as IEEE Electron Device Letters, IEEE Transactions on Electron Devices, Applied Physics Letters, Microelectronic Engineering and Solid-State Electronics.
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.