Tom De Smet
- Anesthesiology and Pain Medicine top 0.1%
- Developmental Neuroscience top 0.5%
- Surgery top 5%
- Critical Care and Intensive Care Medicine top 1%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Michel StruysÉric MortierAnthony AbsalomL VersichelenG RollyVaithianadan ManiStijn Van de VeldeRudy Van den Broecke
- Topics
- Anesthesia and Sedative Agents (21 papers)Anesthesia and Neurotoxicity Research (8 papers)Intensive Care Unit Cognitive Disorders (5 papers)
- Cited by
- Anesthesiology and Pain MedicineDevelopmental NeuroscienceCritical Care and Intensive Care Medicine
- Partner nations
- BelgiumNetherlandsUnited States
In The Last Decade
Tom De Smet
23 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 95
- Anesthesiology and Pain Medicine 1.3k
- Developmental Neuroscience 667
- Surgery 569
- Critical Care and Intensive Care Medicine 396
- Cardiology and Cardiovascular Medicine 242
Countries citing papers authored by Tom De Smet
This map shows the geographic impact of Tom De Smet'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 Tom De Smet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom De Smet more than expected).
Fields of papers citing papers by Tom De Smet
This network shows the impact of papers produced by Tom De Smet. 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 Tom De Smet. The network helps show where Tom De Smet may publish in the future.
Co-authorship network of co-authors of Tom De Smet
This figure shows the co-authorship network connecting the top 25 collaborators of Tom De Smet. A scholar is included among the top collaborators of Tom De Smet 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 Tom De Smet. Tom De Smet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 23 | |
| 4 | 17 | |
| 5 | 50 | |
| 6 | 15 | |
| 7 | 85 | |
| 8 | 33 | |
| 9 | 195 | |
| 10 | Accuracy and clinical feasibility of a new Bayesian-based closed-loop control system for propofol administration using the BIS as a controlled variable | 2 |
| 11 | 90 | |
| 12 | 180 | |
| 13 | 24 | |
| 14 | 27 | |
| 15 | 22 | |
| 16 | 49 | |
| 17 | 33 | |
| 18 | 104 | |
| 19 | 8 | |
| 20 | 240 |
About Tom De Smet
Tom De Smet is a scholar working on Anesthesiology and Pain Medicine, Developmental Neuroscience and Critical Care and Intensive Care Medicine, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Anesthesia and Sedative Agents (21 papers), Anesthesia and Neurotoxicity Research (8 papers) and Intensive Care Unit Cognitive Disorders (5 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (1.3k citations), Developmental Neuroscience (667 citations) and Critical Care and Intensive Care Medicine (396 citations). Tom De Smet has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Michel Struys, Éric Mortier, Anthony Absalom, L Versichelen, G Rolly, Vaithianadan Mani, Stijn Van de Velde, Rudy Van den Broecke, Steven L. Shafer and Clara M. Ionescu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Anesthesiology.
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.