Neil R. Euliano
- Artificial Intelligence top 5%
- Pulmonary and Respiratory Medicine top 10%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- José C. Prı́ncipeWilliam LefebvreT. Y. EulianoMinh Tam NguyenAnthony R. GreggSusan P. McGorrayAndrea GabrielliMichael J. Banner
- Topics
- Respiratory Support and Mechanisms (14 papers)Neural Networks and Applications (7 papers)Neonatal Respiratory Health Research (6 papers)
- Partner nations
- United StatesSlovakiaSlovenia
In The Last Decade
Neil R. Euliano
38 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Artificial Intelligence 292
- Pulmonary and Respiratory Medicine 215
- Biomedical Engineering 212
- Electrical and Electronic Engineering 162
- Pediatrics, Perinatology and Child Health 160
Countries citing papers authored by Neil R. Euliano
This map shows the geographic impact of Neil R. Euliano'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 Neil R. Euliano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil R. Euliano more than expected).
Fields of papers citing papers by Neil R. Euliano
This network shows the impact of papers produced by Neil R. Euliano. 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 Neil R. Euliano. The network helps show where Neil R. Euliano may publish in the future.
Co-authorship network of co-authors of Neil R. Euliano
This figure shows the co-authorship network connecting the top 25 collaborators of Neil R. Euliano. A scholar is included among the top collaborators of Neil R. Euliano 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 Neil R. Euliano. Neil R. Euliano 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 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 155 | |
| 10 | 19 | |
| 11 | 68 | |
| 12 | 12 | |
| 13 | 4 | |
| 14 | On Proper Handling of Multi-collinear Inputs and Errors-in-Variables with Explicit and Implicit Neural Models | 1 |
| 15 | 15 | |
| 16 | 3 | |
| 17 | 19 | |
| 18 | Adaptive and neural inverse control: adaptively controlling a ventilator | 1 |
| 19 | Neural and adaptive systems : fundamentals through simulationsbreakdown → | 624 |
| 20 | Neural and Adaptive Systems: Fundamentals through Simulations with CD-ROM | 140 |
About Neil R. Euliano
Neil R. Euliano is a scholar working on Critical Care and Intensive Care Medicine, Architecture and Medical Laboratory Technology, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (14 papers), Neural Networks and Applications (7 papers) and Neonatal Respiratory Health Research (6 papers). The work is most often cited by research in Signal Processing (132 citations), Obstetrics and Gynecology (76 citations) and Artificial Intelligence (292 citations). Neil R. Euliano has collaborated with scholars based in United States, Slovakia and Slovenia. Frequent co-authors include José C. Prı́ncipe, William Lefebvre, T. Y. Euliano, Minh Tam Nguyen, Anthony R. Gregg, Susan P. McGorray, Andrea Gabrielli, Michael J. Banner, Rodney K. Edwards and A. Daniel Martin. Their work appears in journals such as Proceedings of the IEEE, CHEST Journal and American Journal of Obstetrics and Gynecology.
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.