Tina L. Weeding

30 total papers · 623 total citations
23 papers, 525 citations indexed

About

Tina L. Weeding is a scholar working on Spectroscopy, Atomic and Molecular Physics, and Optics and Computational Mechanics. According to data from OpenAlex, Tina L. Weeding has authored 23 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Spectroscopy, 10 papers in Atomic and Molecular Physics, and Optics and 6 papers in Computational Mechanics. Recurrent topics in Tina L. Weeding's work include Mass Spectrometry Techniques and Applications (9 papers), Advanced Chemical Physics Studies (7 papers) and Ion-surface interactions and analysis (6 papers). Tina L. Weeding is often cited by papers focused on Mass Spectrometry Techniques and Applications (9 papers), Advanced Chemical Physics Studies (7 papers) and Ion-surface interactions and analysis (6 papers). Tina L. Weeding collaborates with scholars based in Netherlands, United States and Portugal. Tina L. Weeding's co-authors include Piet G. Kistemaker, W. S. Veeman, Jaap H. M. Beijersbergen, Aart W. Kleyn, W.R. Koppers, Jaap J. Boon, Bruce G. Aitken, H. Angad Gaur, W. G. B. Huysmans and B.H.W.S. de Jong and has published in prestigious journals such as Nature, The Journal of Chemical Physics and Physical review. B, Condensed matter.

In The Last Decade

Tina L. Weeding

23 papers receiving 501 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tina L. Weeding 264 164 128 127 94 23 525
O. Becker 188 0.7× 102 0.6× 235 1.8× 108 0.9× 137 1.5× 25 561
T. E. Orlowski 135 0.5× 229 1.4× 35 0.3× 313 2.5× 161 1.7× 33 582
J. Marien 131 0.5× 184 1.1× 105 0.8× 127 1.0× 117 1.2× 32 505
Tissa C. Gunaratne 239 0.9× 123 0.8× 105 0.8× 258 2.0× 67 0.7× 24 568
S. Jayanthi 119 0.5× 284 1.7× 55 0.4× 72 0.6× 88 0.9× 46 578
Jian He 90 0.3× 233 1.4× 53 0.4× 33 0.3× 215 2.3× 31 610
Gary Paul 179 0.7× 129 0.8× 33 0.3× 184 1.4× 67 0.7× 29 571
P. Löfgren 86 0.3× 155 0.9× 32 0.3× 274 2.2× 86 0.9× 18 470
T. Heller 130 0.5× 167 1.0× 233 1.8× 124 1.0× 235 2.5× 15 582
Eleonora Vella 52 0.2× 178 1.1× 43 0.3× 228 1.8× 177 1.9× 17 473

Countries citing papers authored by Tina L. Weeding

Since Specialization
Citations

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

Fields of papers citing papers by Tina L. Weeding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tina L. Weeding. 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 Tina L. Weeding. The network helps show where Tina L. Weeding may publish in the future.

Co-authorship network of co-authors of Tina L. Weeding

This figure shows the co-authorship network connecting the top 25 collaborators of Tina L. Weeding. A scholar is included among the top collaborators of Tina L. Weeding based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tina L. Weeding. Tina L. Weeding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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