Daniel Gill
Impact in
- Radiation top 5%
- Nuclear Physics and Applications
- Aerospace Engineering top 10%
- Nuclear reactor physics and engineering
Papers in
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- Nuclear reactor physics and engineering 14
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- Face Recognition and Perception 6
- Co-authors
- Nathan Intrator (1 shared paper)Y.Y. Azmy (2 shared papers)Philippe G. Schyns (3 shared papers)Oliver Garrod (2 shared papers)Rachael E. Jack (1 shared paper)Christian Hansel (1 shared paper)David L. Millman (3 shared papers)Timothy Trumbull (2 shared papers)
- Journals
- Nuclear Science and Engineering (3 papers)Journal of Vision (2 papers)Nuclear Technology (2 papers)Psychological Science (1 paper)Neurocomputing (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Daniel Gill
29 papers receiving 458 citations
Peers
Comparison fields: 5 of 90
- Radiation 103
- Aerospace Engineering 187
- Cognitive Neuroscience 68
- Numerical Analysis 19
- Experimental and Cognitive Psychology 44
Countries citing papers authored by Daniel Gill
This map shows the geographic impact of Daniel Gill'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 Daniel Gill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gill more than expected).
Fields of papers citing papers by Daniel Gill
This network shows the impact of papers produced by Daniel Gill. 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 Daniel Gill. The network helps show where Daniel Gill may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Gill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 83 | |
| 2 | 2014 | 62 | |
| 3 | 2018 | 54 | |
| 4 | 2014 | 45 | |
| 5 | 2016 | 34 | |
| 6 | 2014 | 33 | |
| 7 | 2011 | 29 | |
| 8 | 2017 | 21 | |
| 9 | 2014 | 20 | |
| 10 | 2011 | 19 | |
| 11 | 2020 | 15 | |
| 12 | 2014 | 13 | |
| 13 | 2017 | 6 | |
| 14 | 2000 | 6 | |
| 15 | 2014 | 5 | |
| 16 | Newton -Krylov methods for the solution of the k-eigenvalue problem in multigroup neutronics calculations | 2009 | 5 |
| 17 | 2015 | 4 | |
| 18 | Movable geometry and eigenvalue search capability in the MC21 Monte Carlo code | 2013 | 4 |
| 19 | 2021 | 3 | |
| 20 | 2012 | 2 |
About Daniel Gill
Daniel Gill is a scholar working on Aerospace Engineering, Cognitive Neuroscience, Radiation, Experimental and Cognitive Psychology and Materials Chemistry, having authored 32 papers that have together received 478 indexed citations. Recurring topics across this work include Nuclear reactor physics and engineering (14 papers), Evolutionary Psychology and Human Behavior (6 papers), Face Recognition and Perception (6 papers), Nuclear Physics and Applications (6 papers), Nuclear Materials and Properties (5 papers), Probabilistic and Robust Engineering Design (4 papers), Neuroscience and Neuropharmacology Research (2 papers) and Olfactory and Sensory Function Studies (2 papers). The work is most often cited by research in Radiation (103 citations), Aerospace Engineering (187 citations), Cognitive Neuroscience (68 citations), Numerical Analysis (19 citations) and Experimental and Cognitive Psychology (44 citations). Daniel Gill has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Nathan Intrator, Y.Y. Azmy, Philippe G. Schyns, Oliver Garrod, Rachael E. Jack, Christian Hansel, David L. Millman, Timothy Trumbull, Daniel S. McGehee and Michael R. Bruchas. Their work appears in journals such as Nuclear Science and Engineering, Journal of Vision, Nuclear Technology, Psychological Science and Neurocomputing.
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.