P. Vajda

247 papers receiving 3.6k citations

P. Vajda's Hit Papers

Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP 2023 · 212 citations
2120+1+2Years since publication50100150200

Peers

P. Vajda
Comparison fields: 5 of 99
  • Condensed Matter Physics 829
  • Geophysics 737
  • Oceanography 586
  • Atomic and Molecular Physics, and Optics 1.1k
  • Materials Chemistry 1.6k
Replace A. Cavalleri with:
A. Cavalleri Italy
R. W. James Australia
V. Celli United States
James H. Rose United States
Norbert Kaiser Germany
Masayuki Fujita Japan
C. G. Windsor United Kingdom
David Book United Kingdom
Shechao Feng United States
John Lekner New Zealand
P. Vajda relative to A. Cavalleri Italy A. Cavalleri's profile →
Citations per field
00.5×4.1×
A. Cavalleri · 1×
Citations per year

Countries citing papers authored by P. Vajda

Since Specialization
Citations

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

Fields of papers citing papers by P. Vajda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 255 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP
Hit paper breakdown →
2023212
2 1976129
3 1977119
4 1978114
5 2009109
6 198581
7 201268
8 196763
9 201159
10 201156
11 199255
12 199654
13 200945
14 197543
15 196843
16 199142
17 198839
18 199639
19 197139
20 201037

About P. Vajda

P. Vajda is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Condensed Matter Physics, Geophysics and Oceanography, having authored 255 papers that have together received 3.8k indexed citations. Recurring topics across this work include Quantum, superfluid, helium dynamics (57 papers), Advanced Chemical Physics Studies (56 papers), Rare-earth and actinide compounds (53 papers), Hydrogen Storage and Materials (48 papers), Geophysics and Gravity Measurements (41 papers), Physics of Superconductivity and Magnetism (29 papers), Geophysical and Geoelectrical Methods (23 papers) and Geomagnetism and Paleomagnetism Studies (21 papers). The work is most often cited by research in Condensed Matter Physics (829 citations), Geophysics (737 citations), Oceanography (586 citations), Atomic and Molecular Physics, and Optics (1.1k citations) and Materials Chemistry (1.6k citations). P. Vajda has collaborated with scholars based in France, Slovakia and New Zealand. Frequent co-authors include J. N. Daou, A. Lucasson, P. Lucasson, Róbert Tenzer, F. Maury, J.P. Burger, M. Biget, F. Beuneu, Pavel Novák and O. Blaschko. Their work appears in journals such as Physical review. B, Condensed matter, Solid State Communications, Journal of Alloys and Compounds, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms and Journal of Applied Physics.

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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