Ralph Gailis
Impact in
- Environmental Engineering top 5%
- Wind and Air Flow Studies
- Air Quality Monitoring and Forecasting
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- Air Quality and Health Impacts
Papers in
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- Wind and Air Flow Studies 8
- Air Quality Monitoring and Forecasting 4
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- Target Tracking and Data Fusion in Sensor Networks 3
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Ajith Gunatilaka (9 shared papers)Branko Ristić (6 shared papers)Eugene Yee (3 shared papers)Alex Skvortsov (4 shared papers)Peter Dawson (1 shared paper)David Wilson (1 shared paper)Alexei T. Skvortsov (2 shared papers)Michael D. Roberts (1 shared paper)
In The Last Decade
Ralph Gailis
17 papers receiving 324 citations
Peers
Comparison fields: 5 of 68
- Environmental Engineering 178
- Health, Toxicology and Mutagenesis 57
- Radiation 33
- Insect Science 44
- Speech and Hearing 20
Countries citing papers authored by Ralph Gailis
This map shows the geographic impact of Ralph Gailis'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 Ralph Gailis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralph Gailis more than expected).
Fields of papers citing papers by Ralph Gailis
This network shows the impact of papers produced by Ralph Gailis. 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 Ralph Gailis. The network helps show where Ralph Gailis may publish in the future.
Co-authors
The 11 scholars most cited alongside Ralph Gailis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 72 | |
| 2 | 2006 | 59 | |
| 3 | 2006 | 36 | |
| 4 | 2006 | 27 | |
| 5 | 2014 | 24 | |
| 6 | 2014 | 23 | |
| 7 | 2015 | 21 | |
| 8 | 2016 | 21 | |
| 9 | 2013 | 15 | |
| 10 | 2003 | 11 | |
| 11 | 2014 | 10 | |
| 12 | Radiological Source Localisation | 2007 | 7 |
| 13 | Epidemic Spread Modeling: Alignment of Agent-Based Simulation with a Simple Mathematical Model. | 2007 | 4 |
| 14 | High fidelity simulation of hazardous plume concentration time series based on models of turbulent dispersion | 2012 | 4 |
| 15 | 2013 | 2 | |
| 16 | Modelling of flow and tracer dispersion over complex urban terrain in the atmospheric boundary layer | 2007 | 1 |
| 17 | Wind Tunnel Simulations of the Mock Urban Setting Test - Experimental Procedures and Data Analysis | 2004 | 1 |
About Ralph Gailis
Ralph Gailis is a scholar working on Environmental Engineering, Artificial Intelligence, Computer Networks and Communications, Computational Mechanics and Health, Toxicology and Mutagenesis, having authored 17 papers that have together received 338 indexed citations. Recurring topics across this work include Wind and Air Flow Studies (8 papers), Air Quality Monitoring and Forecasting (4 papers), Combustion and flame dynamics (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Distributed Sensor Networks and Detection Algorithms (3 papers), Data-Driven Disease Surveillance (2 papers), COVID-19 epidemiological studies (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Environmental Engineering (178 citations), Health, Toxicology and Mutagenesis (57 citations), Radiation (33 citations), Insect Science (44 citations) and Speech and Hearing (20 citations). Ralph Gailis has collaborated with scholars based in Australia, Canada and Finland. Frequent co-authors include Ajith Gunatilaka, Branko Ristić, Eugene Yee, Alex Skvortsov, Peter Dawson, David Wilson, Peter Dawson, Alexei T. Skvortsov, Michael D. Roberts and Leo Lopes. Their work appears in journals such as Boundary-Layer Meteorology, Atmospheric Environment, Signal Processing, Information Fusion and Journal of Theoretical Biology.
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.