D. Ventura

565 citations
18 papers · 372 · h-index 8

Impact in

Papers in

D. Ventura

17 papers receiving 348 citations

Peers

D. Ventura
Comparison fields: 5 of 46
  • Electrical and Electronic Engineering 298
  • Acoustics and Ultrasonics 4
  • Applied Mathematics 43
  • Atomic and Molecular Physics, and Optics 80
  • Statistical and Nonlinear Physics 19
Replace E. Lyumkis with:
E. Lyumkis United States
Giovanni Mascali Italy
Jin Woo Jang South Korea
Kazunori Ando Japan
Vassilis Kanellopoulos Greece
François Péchereau France
J. Pender United States
Catalin Turc United States
R. Moore United States
Leonid Pekker United States
D. Ventura relative to E. Lyumkis United States E. Lyumkis's profile →
Citations per field
00.5×1.5×2.2×
E. Lyumkis · 1×
Citations per year

Countries citing papers authored by D. Ventura

Since Specialization
Citations

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

Fields of papers citing papers by D. Ventura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 199396
2 199295
3 199260
4 200333
5 199325
6 199512
7
An Efficient Method for Evaluating the Energy Distribution of Electrons in Semiconductors Based on Spherical Harmonics Expansion
199211
8 202211
9 20236
10 19956
11 19925
12 20234
13 20023
14 20212
15 20231
16 20141
17 20171
18 20050

About D. Ventura

D. Ventura is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Infectious Diseases, Surgery and Critical Care and Intensive Care Medicine, having authored 18 papers that have together received 372 indexed citations. Recurring topics across this work include Advancements in Semiconductor Devices and Circuit Design (9 papers), Semiconductor materials and devices (9 papers), Silicon Carbide Semiconductor Technologies (3 papers), Quantum and electron transport phenomena (2 papers), Advanced Thermodynamics and Statistical Mechanics (1 paper), Interactive and Immersive Displays (1 paper), Heparin-Induced Thrombocytopenia and Thrombosis (1 paper) and Design Education and Practice (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (298 citations), Acoustics and Ultrasonics (4 citations), Applied Mathematics (43 citations), Atomic and Molecular Physics, and Optics (80 citations) and Statistical and Nonlinear Physics (19 citations). D. Ventura has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include G. Baccarani, A. Gnudi, Fadwa Odeh, M. Rudan, Andy Stricker, M. Valdinoci, Nicholas C. Cavarocchi, Scott Silvestry, Emily Gorman and Patricia Louzon. Their work appears in journals such as Annals of Pharmacotherapy, Rivista Del Nuovo Cimento, Applied Mathematics Letters, Numerical Functional Analysis and Optimization and Electronics Letters.

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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