D. C. Gilmer

6.0k citations
106 papers · 4.6k indexed · h-index 35

D. C. Gilmer

102 papers receiving 4.4k citations

Peers

D. C. Gilmer
Comparison fields: 5 of 53
  • Electrical and Electronic Engineering 4.4k
  • Cellular and Molecular Neuroscience 656
  • Polymers and Plastics 472
  • Materials Chemistry 1.5k
  • Electronic, Optical and Magnetic Materials 241
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Citations per field
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Citations per year

Countries citing papers authored by D. C. Gilmer

Since Specialization
Citations

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

Fields of papers citing papers by D. C. Gilmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. C. Gilmer. 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 D. C. Gilmer. The network helps show where D. C. Gilmer may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20205
2 20189
3 20157
4 20141
5 20147
6 2013143
7 20111
8 201092
9 20105
10 200917
11 20080
12 20072
13
A scalable and highly manufacturable single metal gate/high-k CMOS integration for sub-32nm technology for LSTP applications
20061
14 200582
15 200520
16 200443
17 2004135
18 19992
19 1999127
20
Anhydrous metal nitrates as volatile single source precursors for the CVD of metal oxide films
19981

About D. C. Gilmer

D. C. Gilmer is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials, having authored 106 papers that have together received 4.6k indexed citations. Recurring topics across this work include Semiconductor materials and devices (83 papers), Ferroelectric and Negative Capacitance Devices (51 papers), Advanced Memory and Neural Computing (46 papers), Advancements in Semiconductor Devices and Circuit Design (30 papers), Electronic and Structural Properties of Oxides (20 papers), Integrated Circuits and Semiconductor Failure Analysis (17 papers), Semiconductor materials and interfaces (12 papers) and Neuroscience and Neural Engineering (10 papers). The work is most often cited by research in Electrical and Electronic Engineering (4.4k citations), Cellular and Molecular Neuroscience (656 citations), Polymers and Plastics (472 citations), Materials Chemistry (1.5k citations) and Electronic, Optical and Magnetic Materials (241 citations). D. C. Gilmer has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Daniele Ielmini, Simone Balatti, Stefano Larentis, Wayne L. Gladfelter, Stephen A. Campbell, G. Bersuker, F. Nardi, P. D. Kirsch, Luca Larcher and Andrea Padovani. Their work appears in journals such as IEEE Transactions on Electron Devices, Applied Physics Letters, IEEE Electron Device Letters, Journal of Applied Physics and Chemical Vapor Deposition.

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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