A.J. Willis
Impact in
- Earth-Surface Processes top 5%
- Geological formations and processes
- Signal Processing top 5%
- Biometric Identification and Security
- Direction-of-Arrival Estimation Techniques
Papers in
-
- Direction-of-Arrival Estimation Techniques 7
- Co-authors
- Andrew D. Miall (2 shared papers)Octavian Catuneanu (1 shared paper)Thomas F. Moslow (2 shared papers)E. E. Daniel (2 shared papers)Shuji Yoshida (1 shared paper)Woo Jung Cho (1 shared paper)Robert de Mello Koch (4 shared papers)Chris Baker (1 shared paper)
- Journals
- Electronics Letters (6 papers)Sedimentary Geology (2 papers)Computers & Chemical Engineering (2 papers)Bulletin of Canadian Petroleum Geology (2 papers)Geology (1 paper)
- Partner nations
- South AfricaCanadaUnited States
In The Last Decade
A.J. Willis
25 papers receiving 365 citations
Peers
Comparison fields: 5 of 62
- Earth-Surface Processes 155
- Signal Processing 132
- Atmospheric Science 124
- Geology 30
- Paleontology 38
Countries citing papers authored by A.J. Willis
This map shows the geographic impact of A.J. Willis'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 A.J. Willis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A.J. Willis more than expected).
Fields of papers citing papers by A.J. Willis
This network shows the impact of papers produced by A.J. Willis. 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 A.J. Willis. The network helps show where A.J. Willis may publish in the future.
Co-authors
The 21 scholars most cited alongside A.J. Willis, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 93 | |
| 2 | 1998 | 74 | |
| 3 | 2000 | 64 | |
| 4 | 1997 | 40 | |
| 5 | 1994 | 17 | |
| 6 | 2009 | 17 | |
| 7 | 2010 | 13 | |
| 8 | 2005 | 11 | |
| 9 | 1994 | 11 | |
| 10 | 2006 | 9 | |
| 11 | 2001 | 9 | |
| 12 | 2000 | 7 | |
| 13 | 1997 | 5 | |
| 14 | 2006 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 1992 | 3 | |
| 17 | 2006 | 3 | |
| 18 | 2005 | 1 | |
| 19 | 1998 | 1 | |
| 20 | 2007 | 1 |
About A.J. Willis
A.J. Willis is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Mechanics of Materials, Aerospace Engineering and Earth-Surface Processes, having authored 28 papers that have together received 392 indexed citations. Recurring topics across this work include Direction-of-Arrival Estimation Techniques (7 papers), Geological formations and processes (6 papers), Hydrocarbon exploration and reservoir analysis (4 papers), Geology and Paleoclimatology Research (4 papers), Underwater Acoustics Research (4 papers), Radar Systems and Signal Processing (4 papers), Fault Detection and Control Systems (3 papers) and Gastrointestinal motility and disorders (2 papers). The work is most often cited by research in Earth-Surface Processes (155 citations), Signal Processing (132 citations), Atmospheric Science (124 citations), Geology (30 citations) and Paleontology (38 citations). A.J. Willis has collaborated with scholars based in South Africa, Canada and United States. Frequent co-authors include Andrew D. Miall, Octavian Catuneanu, Thomas F. Moslow, E. E. Daniel, Shuji Yoshida, Woo Jung Cho, Robert de Mello Koch, Chris Baker, Jincheng Zhang and Kevin Brink. Their work appears in journals such as Electronics Letters, Sedimentary Geology, Computers & Chemical Engineering, Bulletin of Canadian Petroleum Geology and Geology.
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.