Richard Vilim

54 papers receiving 641 citations

Peers

Richard Vilim
Comparison fields: 5 of 78
  • Energy Engineering and Power Technology 75
  • General Energy 12
  • Control and Systems Engineering 147
  • Statistics, Probability and Uncertainty 44
  • Aerospace Engineering 139
Replace Roberto Ponciroli with:
Roberto Ponciroli United States
Cristian Rabiti United States
Ali Abbaspour Iran
Jiarui Hao China
Koroush Shirvan United States
Xiaojin Huang China
Krishna Kalyanam United States
Zili Wang China
Hejun Yang China
R. Singh United Kingdom
Richard Vilim relative to Roberto Ponciroli United States Roberto Ponciroli's profile →
Citations per field
00.5×1.7×
Roberto Ponciroli · 1×
Citations per year

Countries citing papers authored by Richard Vilim

Since Specialization
Citations

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

Fields of papers citing papers by Richard Vilim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018157
2 201679
3 202258
4 202058
5
Development of the low temperature Cu-Cl thermochemical cycle.
200532
6 200931
7 201523
8 201721
9 202021
10 202019
11 200417
12 202212
13 200110
14 20219
15 20118
16 20097
17 20216
18 20236
19 20116
20 20245

About Richard Vilim

Richard Vilim is a scholar working on Aerospace Engineering, Control and Systems Engineering, Mechanical Engineering, Materials Chemistry and Electrical and Electronic Engineering, having authored 59 papers that have together received 658 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (18 papers), Nuclear reactor physics and engineering (16 papers), Nuclear Engineering Thermal-Hydraulics (15 papers), Nuclear Materials and Properties (8 papers), Radiation Detection and Scintillator Technologies (4 papers), Nuclear and radioactivity studies (4 papers), Advanced Control Systems Optimization (4 papers) and Carbon Dioxide Capture Technologies (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (75 citations), General Energy (12 citations), Control and Systems Engineering (147 citations), Statistics, Probability and Uncertainty (44 citations) and Aerospace Engineering (139 citations). Richard Vilim has collaborated with scholars based in United States, Austria and Italy. Frequent co-authors include Roberto Ponciroli, Francesco Ganda, Jesse Jenkins, Audun Botterud, Zhi Zhou, R. T. Klann, Tat Nghia Nguyen, Humberto E. Garcia, Alexander Heifetz and Nicolas Stauff. Their work appears in journals such as Nuclear Technology, Annals of Nuclear Energy, Nuclear Science and Engineering, Progress in Nuclear Energy and Engineering Applications of Artificial Intelligence.

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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