David T. Lawrence
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Earth-Surface Processes top 10%
- Artificial Intelligence
- Cognitive Neuroscience
- Co-authors
- Terrence J. SejnowskiBeatrice A. GolombMark A. KirkChristopher P. HolstegeNathan P. CharltonGary W. Van HoesenP A GettingWilliam J. Brady
- Topics
- Poisoning and overdose treatments (5 papers)Geological and Geophysical Studies (4 papers)Geological formations and processes (4 papers)
- Partner nations
- United StatesNetherlands
In The Last Decade
David T. Lawrence
13 papers receiving 521 citations
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 317
- Signal Processing 119
- Earth-Surface Processes 70
- Artificial Intelligence 61
- Cognitive Neuroscience 39
Countries citing papers authored by David T. Lawrence
This map shows the geographic impact of David T. Lawrence'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 David T. Lawrence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Lawrence more than expected).
Fields of papers citing papers by David T. Lawrence
This network shows the impact of papers produced by David T. Lawrence. 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 David T. Lawrence. The network helps show where David T. Lawrence may publish in the future.
Co-authorship network of co-authors of David T. Lawrence
This figure shows the co-authorship network connecting the top 25 collaborators of David T. Lawrence. A scholar is included among the top collaborators of David T. Lawrence 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 David T. Lawrence. David T. Lawrence is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 7 | |
| 3 | 5-oxoproline-induced anion gap metabolic acidosis after an acute acetaminophen overdose. | 21 |
| 4 | 14 | |
| 5 | 14 | |
| 6 | 24 | |
| 7 | The evaluation and management of acute poisoning emergencies. | 6 |
| 8 | 0 | |
| 9 | 21 | |
| 10 | SEXNET: A Neural Network Identifies Sex From Human Faces | 342 |
| 11 | 81 | |
| 12 | Calibration of stratigraphic models in exploration settings | 1 |
| 13 | 23 | |
| 14 | Isostatic controls on carbonate platform development | 1 |
| 15 | 7 | |
| 16 | Patterns and dynamics of late cretaceous marginal marine sedimentation; overthrust belt, southwestern Wyoming | 3 |
About David T. Lawrence
David T. Lawrence is a scholar working on Geology, Earth-Surface Processes and Emergency Medicine, having authored 16 papers that have together received 575 indexed citations. Recurring topics across this work include Poisoning and overdose treatments (5 papers), Geological and Geophysical Studies (4 papers) and Geological formations and processes (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (317 citations), Signal Processing (119 citations) and Earth-Surface Processes (70 citations). David T. Lawrence has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Terrence J. Sejnowski, Beatrice A. Golomb, Mark A. Kirk, Christopher P. Holstege, Nathan P. Charlton, Gary W. Van Hoesen, P A Getting, William J. Brady, S. Snelson and Heather A. Borek. Their work appears in journals such as Neural Computation, AAPG Bulletin and Journal of Neuroscience Methods.
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.