R. Lambo

649 citations
21 papers · 210 · h-index 9

Impact in

Papers in

R. Lambo

21 papers receiving 206 citations

Peers

R. Lambo
Comparison fields: 5 of 42
  • Radiation 29
  • Otorhinolaryngology 13
  • Radiology, Nuclear Medicine and Imaging 67
  • Health Informatics 4
  • Atomic and Molecular Physics, and Optics 63
Replace David J. Finnigan with:
David J. Finnigan United Kingdom
Néha Koonjoo United States
B. Reitz United States
Kun Qing United States
Hua‐Chieh Shao United States
Takuya Kato Japan
Xianping Sun China
Tae Hoon Kim South Korea
James Sanders Germany
Manushka Vaidya United States
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Citations per field
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David J. Finnigan · 1×
Citations per year

Countries citing papers authored by R. Lambo

Since Specialization
Citations

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

Fields of papers citing papers by R. Lambo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202230
2 202029
3 202328
4 202116
5 201514
6 201313
7 202012
8 200710
9 20219
10 20127
11 20217
12 20237
13 20115
14 20235
15 20194
16 20093
17 20233
18 20232
19 20142
20 20132

About R. Lambo

R. Lambo is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Spectroscopy and Condensed Matter Physics, having authored 21 papers that have together received 210 indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (9 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers), Quantum, superfluid, helium dynamics (4 papers), Spectroscopy and Laser Applications (4 papers), Atomic and Molecular Physics (3 papers) and Rare-earth and actinide compounds (3 papers). The work is most often cited by research in Radiation (29 citations), Otorhinolaryngology (13 citations), Radiology, Nuclear Medicine and Imaging (67 citations), Health Informatics (4 citations) and Atomic and Molecular Physics, and Optics (63 citations). R. Lambo has collaborated with scholars based in China, Russia and Brazil. Frequent co-authors include Wenjian Qin, Yaoqin Xie, Shui-Ming Hu, Weiren Luo, C. L. Cesar, Jing Cai, Zhanyu Wang, Alexei A. Buchachenko, C. C. Rodegheri and D. M. Silveira. Their work appears in journals such as The Journal of Chemical Physics, Molecular Physics, American Journal Of Pathology, IEEE Journal of Biomedical and Health Informatics and Physical Review A.

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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