S. Krave

467 citations
20 papers · 192 indexed · h-index 8

Impact in

Papers in

Journals
IEEE Transactions on Applied Superconductivity (18 papers)AIP conference proceedings (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (1 paper)

In The Last Decade

S. Krave

19 papers receiving 189 citations

Peers

S. Krave
Comparison fields: 5 of 18
  • Aerospace Engineering 153
  • Biomedical Engineering 176
  • Condensed Matter Physics 26
  • Electrical and Electronic Engineering 124
  • Nuclear and High Energy Physics 20
Replace Daniel Schoerling with:
Daniel Schoerling Switzerland
M. Yu United States
Vittorio Marinozzi United States
M. Tartaglia United States
Juan Carlos Perez Switzerland
M. J. Lamm United States
D. Smekens Switzerland
F. Alessandria Italy
V.V. Kashikhin United States
Ruben Fair United States
S. Krave relative to Daniel Schoerling Switzerland Daniel Schoerling's profile →
Citations per field
00.5×1.5×2.4×
Daniel Schoerling · 1×
Citations per year

Countries citing papers authored by S. Krave

Since Specialization
Citations

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

Fields of papers citing papers by S. Krave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20233
3 20223
4 20213
5 20213
6 20217
7 20211
8 20211
9 20218
10 202021
11 20176
12 20168
13 20163
14 201612
15 20156
16 20150
17 20149
18 20149
19 20148
20 201377

About S. Krave

S. Krave is a scholar working on Aerospace Engineering, Biomedical Engineering, Electrical and Electronic Engineering, Condensed Matter Physics and Signal Processing, having authored 20 papers that have together received 192 indexed citations. Recurring topics across this work include Superconducting Materials and Applications (20 papers), Particle accelerators and beam dynamics (18 papers), Particle Accelerators and Free-Electron Lasers (15 papers), Physics of Superconductivity and Magnetism (1 paper), Superconductivity in MgB2 and Alloys (1 paper), Computational Physics and Python Applications (1 paper), Advanced Fiber Optic Sensors (1 paper) and Magneto-Optical Properties and Applications (1 paper). The work is most often cited by research in Aerospace Engineering (153 citations), Biomedical Engineering (176 citations), Condensed Matter Physics (26 citations), Electrical and Electronic Engineering (124 citations) and Nuclear and High Energy Physics (20 citations). S. Krave has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include G. Ambrosio, M. Yu, Susana Izquierdo Bermúdez, P. Ferracin, R. Bossert, D. W. Cheng, J. C. Pérez, G. Sabbi, A. Ghosh and D.R. Dietderich. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, AIP conference proceedings and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

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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