Lawrence M. Davis
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Neurology top 10%
- Co-authors
- Richard A. BronenLawrence H. StaibE. Leon KierGlenn A. TungPaul D. FadaleJeffrey M. RoggR. HaasMahesh Jayaraman
- Topics
- Linguistic Variation and Morphology (14 papers)Spanish Linguistics and Language Studies (5 papers)Natural Language Processing Techniques (5 papers)
- Partner nations
- United StatesIsrael
In The Last Decade
Lawrence M. Davis
29 papers receiving 917 citations
Peers
Comparison fields: 5 of 126
- Radiology, Nuclear Medicine and Imaging 329
- Surgery 200
- Cognitive Neuroscience 182
- Artificial Intelligence 137
- Neurology 109
Countries citing papers authored by Lawrence M. Davis
This map shows the geographic impact of Lawrence M. Davis'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 Lawrence M. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence M. Davis more than expected).
Fields of papers citing papers by Lawrence M. Davis
This network shows the impact of papers produced by Lawrence M. Davis. 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 Lawrence M. Davis. The network helps show where Lawrence M. Davis may publish in the future.
Co-authorship network of co-authors of Lawrence M. Davis
This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence M. Davis. A scholar is included among the top collaborators of Lawrence M. Davis 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 Lawrence M. Davis. Lawrence M. Davis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Automated Scoring of Nonnative Speech Using the "SpeechRater"? v. 5.0 Engine. Research Report. ETS RR-18-10. | 1 |
| 2 | 40 | |
| 3 | 6 | |
| 4 | 68 | |
| 5 | 71 | |
| 6 | Anatomic dissection tractography: a new method for precise MR localization of white matter tracts. | 39 |
| 7 | 2 | |
| 8 | 39 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 173 | |
| 12 | Bit-Climbing, Representational Bias, and Test Suite Design. | 84 |
| 13 | 1 | |
| 14 | Manual of diagnostic imaging | 5 |
| 15 | 6 | |
| 16 | English Dialectology: An Introduction | 11 |
| 17 | 4 | |
| 18 | Studies in linguistics in honor of Raven I. McDavid, Jr | 21 |
| 19 | 1 | |
| 20 | 2 |
About Lawrence M. Davis
Lawrence M. Davis is a scholar working on Linguistics and Language, Language and Linguistics and Internal Medicine, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Linguistic Variation and Morphology (14 papers), Spanish Linguistics and Language Studies (5 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Linguistics and Language (99 citations), Radiology, Nuclear Medicine and Imaging (329 citations) and Health Informatics (14 citations). Lawrence M. Davis has collaborated with scholars based in United States and Israel. Frequent co-authors include Richard A. Bronen, Lawrence H. Staib, E. Leon Kier, Glenn A. Tung, Paul D. Fadale, Jeffrey M. Rogg, R. Haas, Mahesh Jayaraman, J. L. Boxerman and John A. Pezzullo. Their work appears in journals such as Radiology, International Journal of Radiation Oncology*Biology*Physics and Tetrahedron.
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.