R. Lambo

629 total citations
21 papers, 206 citations indexed

About

R. Lambo is a scholar working on Atomic and Molecular Physics, and Optics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, R. Lambo has authored 21 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atomic and Molecular Physics, and Optics, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Artificial Intelligence. Recurrent topics in R. Lambo's work include Advanced Chemical Physics Studies (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cold Atom Physics and Bose-Einstein Condensates (5 papers). R. Lambo is often cited by papers focused on Advanced Chemical Physics Studies (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cold Atom Physics and Bose-Einstein Condensates (5 papers). R. Lambo collaborates with scholars based in China, Russia and Japan. R. Lambo's co-authors include Yaoqin Xie, Wenjian Qin, Shui-Ming Hu, Weiren Luo, C. L. Cesar, Zhanyu Wang, Jing Cai, Alexei A. Buchachenko, Nazar Zaki and C. C. Rodegheri and has published in prestigious journals such as The Journal of Chemical Physics, The Astrophysical Journal and Physical Review A.

In The Last Decade

R. Lambo

21 papers receiving 202 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R. Lambo China 9 91 63 62 29 28 21 206
Chingyun Cheng United States 12 146 1.6× 31 0.5× 89 1.4× 121 4.2× 29 1.0× 20 353
Néha Koonjoo United States 11 173 1.9× 9 0.1× 53 0.9× 17 0.6× 22 0.8× 22 337
Hua‐Chieh Shao United States 9 107 1.2× 21 0.3× 123 2.0× 96 3.3× 44 1.6× 32 285
Xianping Sun China 13 204 2.2× 45 0.7× 303 4.9× 16 0.6× 8 0.3× 29 409
Junshuai Xie China 11 173 1.9× 13 0.2× 209 3.4× 18 0.6× 12 0.4× 14 398
Tae Hoon Kim South Korea 12 83 0.9× 22 0.3× 15 0.2× 141 4.9× 79 2.8× 44 419
Manushka Vaidya United States 9 342 3.8× 47 0.7× 56 0.9× 23 0.8× 3 0.1× 14 416
Philipp Bernhardt Germany 8 157 1.7× 33 0.5× 48 0.8× 102 3.5× 7 0.3× 15 426
B. Reitz United States 10 187 2.1× 8 0.1× 60 1.0× 201 6.9× 31 1.1× 20 410
David Peter Germany 8 62 0.7× 104 1.7× 258 4.2× 4 0.1× 11 0.4× 18 409

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-authorship network of co-authors of R. Lambo

This figure shows the co-authorship network connecting the top 25 collaborators of R. Lambo. A scholar is included among the top collaborators of R. Lambo 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 R. Lambo. R. Lambo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lambo, R., et al.. (2023). Calculation of the local environment of a barium monofluoride molecule in a neon matrix. Molecular Physics. 121(22). 2 indexed citations
2.
Qin, Wenjian, Fei Xue, R. Lambo, et al.. (2023). ARR-GCN: Anatomy-Relation Reasoning Graph Convolutional Network for Automatic Fine-Grained Segmentation of Organ's Surgical Anatomy. IEEE Journal of Biomedical and Health Informatics. 27(7). 3258–3269. 3 indexed citations
3.
4.
Luo, Weiren, et al.. (2023). Deep Multi-Magnification Similarity Learning for Histopathological Image Classification. IEEE Journal of Biomedical and Health Informatics. 27(3). 1535–1545. 28 indexed citations
5.
6.
Wang, Zhanyu, et al.. (2022). Dose prediction via distance-guided deep learning: Initial development for nasopharyngeal carcinoma radiotherapy. Radiotherapy and Oncology. 170. 198–204. 28 indexed citations
7.
Sun, Peiwei, R. Lambo, Chao An, et al.. (2022). Class center attention network with spatial adaption for enhancing hepatic segments classification with low-visibility vascular. Displays. 72. 102151–102151. 2 indexed citations
8.
Hu, Wanming, R. Lambo, Zhicheng Zhang, et al.. (2021). Weakly Supervised Framework for Cancer Region Detection of Hepatocellular Carcinoma in Whole-Slide Pathologic Images Based on Multiscale Attention Convolutional Neural Network. American Journal Of Pathology. 192(3). 553–563. 16 indexed citations
9.
Li, Yafen, R. Lambo, Wenjian Qin, et al.. (2021). Artificial intelligence-based bone-enhanced magnetic resonance image—a computed tomography/magnetic resonance image composite image modality in nasopharyngeal carcinoma radiotherapy. Quantitative Imaging in Medicine and Surgery. 11(12). 4709–4720. 9 indexed citations
10.
Lambo, R., Chenyu Xu, S. T. Pratt, et al.. (2021). High-resolution spectroscopy of neutral Yb atoms in a solid Ne matrix. Physical review. A. 104(6). 7 indexed citations
11.
Yu, Hong, Xia Zhao, R. Lambo, et al.. (2020). Computer-Aided Pathologic Diagnosis of Nasopharyngeal Carcinoma Based on Deep Learning. American Journal Of Pathology. 190(8). 1691–1700. 29 indexed citations
12.
Lambo, R., Jiahui He, Chao An, et al.. (2020). Fully-automated functional region annotation of liver via a 2.5D class-aware deep neural network with spatial adaptation. Computer Methods and Programs in Biomedicine. 200. 105818–105818. 12 indexed citations
13.
Lambo, R., et al.. (2015). Heat- and light-induced transformations of Yb trapping sites in an Ar matrix. The Journal of Chemical Physics. 143(17). 174306–174306. 14 indexed citations
14.
Wu, Lei, R. Lambo, Yan Tan, A.-W. Liu, & Shui-Ming Hu. (2014). Infrared Spectroscopy of CO Isolated in Solid Nitrogen Matrix. Chinese Journal of Chemical Physics. 27(1). 5–8. 2 indexed citations
15.
Wang, Jing, et al.. (2013). LINE PARAMETERS OF THE 782 nm BAND OF CO2. The Astrophysical Journal. 775(1). 71–71. 12 indexed citations
16.
Lambo, R., et al.. (2013). Phonon coupling of water monomers in a solid nitrogen matrix. The Journal of Chemical Physics. 138(11). 114303–114303. 2 indexed citations
17.
Lambo, R., et al.. (2012). Electronic spectroscopy of ytterbium in a neon matrix. The Journal of Chemical Physics. 137(20). 204315–204315. 7 indexed citations
18.
Sacramento, R. L., et al.. (2011). Spectroscopy of lithium atoms sublimated from isolation matrix of solid Ne. The Journal of Chemical Physics. 135(13). 134201–134201. 5 indexed citations
19.
20.
Lambo, R., C. C. Rodegheri, D. M. Silveira, & C. L. Cesar. (2007). Spectroscopy of low-energy atoms released from a solid noble-gas matrix: Proposal for a trap-loading technique. Physical Review A. 76(6). 10 indexed citations

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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