A.J. Willis

50 total papers · 590 total citations
28 papers, 390 citations indexed

About

A.J. Willis is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Mechanics of Materials. According to data from OpenAlex, A.J. Willis has authored 28 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Mechanics of Materials. Recurrent topics in A.J. Willis's work include Direction-of-Arrival Estimation Techniques (7 papers), Geological formations and processes (6 papers) and Geology and Paleoclimatology Research (4 papers). A.J. Willis is often cited by papers focused on Direction-of-Arrival Estimation Techniques (7 papers), Geological formations and processes (6 papers) and Geology and Paleoclimatology Research (4 papers). A.J. Willis collaborates with scholars based in South Africa, Canada and United Kingdom. A.J. Willis's co-authors include Andrew D. Miall, Octavian Catuneanu, Thomas F. Moslow, E. E. Daniel, Shuji Yoshida, Woo Jung Cho, Chris Baker, Robert de Mello Koch, Jincheng Zhang and Alistair Duffy and has published in prestigious journals such as IEEE Transactions on Signal Processing, Geology and Sensors.

In The Last Decade

A.J. Willis

26 papers receiving 356 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
A.J. Willis 153 132 123 65 60 28 390
Hongyu Li 21 0.1× 149 1.1× 51 0.4× 8 0.1× 133 2.2× 22 337
Jean-Pierre Leduc 56 0.4× 41 0.3× 28 0.2× 96 1.5× 137 2.3× 41 333
Yin Wang 18 0.1× 37 0.3× 41 0.3× 49 0.8× 10 0.2× 23 421
Zhongli Ma 17 0.1× 18 0.1× 16 0.1× 10 0.2× 206 3.4× 24 366
Zheng Li 17 0.1× 15 0.1× 8 0.1× 192 3.0× 70 1.2× 42 371
Yue Ning 157 1.0× 92 0.7× 95 0.8× 18 0.3× 7 0.1× 29 420
Ying Li 23 0.2× 3 0.0× 39 0.3× 77 1.2× 12 0.2× 25 387
Ulisses T. Mello 70 0.5× 8 0.1× 30 0.2× 114 1.8× 8 0.1× 29 345
Dong-Hoon Yoo 102 0.7× 14 0.1× 61 0.5× 89 1.4× 11 0.2× 42 339
Garima Yadav 20 0.1× 22 0.2× 20 0.2× 1 0.0× 163 2.7× 18 365

Countries citing papers authored by A.J. Willis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of A.J. Willis

This figure shows the co-authorship network connecting the top 25 collaborators of A.J. Willis. A scholar is included among the top collaborators of A.J. Willis 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 A.J. Willis. A.J. Willis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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