Landis K. Griffeth
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 10%
- Oncology
- Surgery
- Pathology and Forensic Medicine
- Co-authors
- Barry A. SiegelFarrokh DehdashtiAndrea H. McGuireGerald M. RosenElmer J. RauckmanDavid J. PerryStephen M. MoerleinKeith M. Rich
- Topics
- Medical Imaging Techniques and Applications (12 papers)Metabolism and Genetic Disorders (7 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)
- Journals
- NeurologyRadiologyAnnals of Oncology
- Partner nations
- United StatesCyprusAustria
In The Last Decade
Landis K. Griffeth
29 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 98
- Radiology, Nuclear Medicine and Imaging 520
- Pulmonary and Respiratory Medicine 360
- Oncology 169
- Surgery 112
- Pathology and Forensic Medicine 104
Countries citing papers authored by Landis K. Griffeth
This map shows the geographic impact of Landis K. Griffeth'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 Landis K. Griffeth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Landis K. Griffeth more than expected).
Fields of papers citing papers by Landis K. Griffeth
This network shows the impact of papers produced by Landis K. Griffeth. 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 Landis K. Griffeth. The network helps show where Landis K. Griffeth may publish in the future.
Co-authorship network of co-authors of Landis K. Griffeth
This figure shows the co-authorship network connecting the top 25 collaborators of Landis K. Griffeth. A scholar is included among the top collaborators of Landis K. Griffeth 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 Landis K. Griffeth. Landis K. Griffeth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 58 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 160 | |
| 7 | 71 | |
| 8 | 1 | |
| 9 | 57 | |
| 10 | 106 | |
| 11 | 84 | |
| 12 | Results of a clinical receiver operating characteristic study comparing filtered backprojection and maximum likelihood estimator images in FDG PET studies. | 54 |
| 13 | Results of a Clinical ROC Study Comparing Filtered Backprojection and Maximum Likelihood Estimator Images in FDG PET Studies | 2 |
| 14 | 53 | |
| 15 | 7 | |
| 16 | 108 | |
| 17 | 34 | |
| 18 | 12 | |
| 19 | 16 | |
| 20 | 16 |
About Landis K. Griffeth
Landis K. Griffeth is a scholar working on Clinical Biochemistry, Radiology, Nuclear Medicine and Imaging and Pharmacology, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (12 papers), Metabolism and Genetic Disorders (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (520 citations), Pulmonary and Respiratory Medicine (360 citations) and Biophysics (55 citations). Landis K. Griffeth has collaborated with scholars based in United States, Cyprus and Austria. Frequent co-authors include Barry A. Siegel, Farrokh Dehdashti, Andrea H. McGuire, Gerald M. Rosen, Elmer J. Rauckman, David J. Perry, Stephen M. Moerlein, Keith M. Rich, Burton P. Drayer and Reinhold Munker. Their work appears in journals such as Neurology, Radiology and Annals of Oncology.
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.