Daniel Smith
Impact in
- Small Animals top 1%
- Animal Behavior and Welfare Studies
- Animal Science and Zoology top 2%
- Effects of Environmental Stressors on Livestock
Papers in
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- Neural Networks and Applications 4
-
- Speech and Audio Processing 9
- Blind Source Separation Techniques 8
- Co-authors
- Greg Bishop-Hurley (11 shared papers)James Hills (8 shared papers)RP Rawnsley (8 shared papers)Ashfaqur Rahman (16 shared papers)Greg Timms (10 shared papers)D. Henry (6 shared papers)Ritaban Dutta (8 shared papers)Simon Tabrett (1 shared paper)
- Journals
- Computers and Electronics in Agriculture (5 papers)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2 papers)Sensors (2 papers)IEEE Sensors Journal (2 papers)Veterinary Parasitology (1 paper)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Daniel Smith
62 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 125
- Small Animals 323
- Animal Science and Zoology 226
- Developmental Biology 29
- Signal Processing 140
- Food Science 200
Countries citing papers authored by Daniel Smith
This map shows the geographic impact of Daniel Smith'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 Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Smith more than expected).
Fields of papers citing papers by Daniel Smith
This network shows the impact of papers produced by Daniel Smith. 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 Smith. The network helps show where Daniel Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Smith, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 168 | |
| 2 | 2016 | 106 | |
| 3 | 2016 | 83 | |
| 4 | 1997 | 65 | |
| 5 | 1995 | 59 | |
| 6 | 2017 | 58 | |
| 7 | 2013 | 57 | |
| 8 | 2022 | 56 | |
| 9 | 2014 | 28 | |
| 10 | 2014 | 27 | |
| 11 | 2020 | 27 | |
| 12 | 2020 | 25 | |
| 13 | 2012 | 25 | |
| 14 | 2021 | 24 | |
| 15 | 2016 | 24 | |
| 16 | 2017 | 22 | |
| 17 | 2013 | 22 | |
| 18 | 2011 | 21 | |
| 19 | 2014 | 17 | |
| 20 | 2020 | 16 |
About Daniel Smith
Daniel Smith is a scholar working on Artificial Intelligence, Signal Processing, Small Animals, Genetics and Animal Science and Zoology, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Animal Behavior and Welfare Studies (10 papers), Genetic and phenotypic traits in livestock (9 papers), Speech and Audio Processing (9 papers), Blind Source Separation Techniques (8 papers), Effects of Environmental Stressors on Livestock (7 papers), Water Quality Monitoring Technologies (6 papers), Advanced Adaptive Filtering Techniques (5 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Small Animals (323 citations), Animal Science and Zoology (226 citations), Developmental Biology (29 citations), Signal Processing (140 citations) and Food Science (200 citations). Daniel Smith has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Greg Bishop-Hurley, James Hills, RP Rawnsley, Ashfaqur Rahman, Greg Timms, D. Henry, Ritaban Dutta, Simon Tabrett, Flora D. Salim and Aaqib Saeed. Their work appears in journals such as Computers and Electronics in Agriculture, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Sensors, IEEE Sensors Journal and Veterinary Parasitology.
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.