Danny Wyatt

14 total papers · 1.1k total citations
11 papers, 818 citations indexed

About

Danny Wyatt is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Danny Wyatt has authored 11 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistical and Nonlinear Physics, 6 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Danny Wyatt's work include Complex Network Analysis Techniques (5 papers), Opinion Dynamics and Social Influence (4 papers) and Speech and dialogue systems (3 papers). Danny Wyatt is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Opinion Dynamics and Social Influence (4 papers) and Speech and dialogue systems (3 papers). Danny Wyatt collaborates with scholars based in United States and United Kingdom. Danny Wyatt's co-authors include Tanzeem Choudhury, Matthai Philipose, Jonathan Lester, Jeff Bilmes, Jeffrey Hightower, Predrag Klasnja, Dirk Haehnel, Sunny Consolvo, Beverly L. Harrison and Karl Koscher and has published in prestigious journals such as IEEE Pervasive Computing, ACM Transactions on Intelligent Systems and Technology and IEEE Data(base) Engineering Bulletin.

In The Last Decade

Danny Wyatt

11 papers receiving 755 citations

Hit Papers

The Mobile Sensing Platfo... 2008 2026 2014 2020 2008 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Danny Wyatt 484 180 166 152 138 11 818
Emmanuel Munguia Tapia 499 1.0× 90 0.5× 196 1.2× 131 0.9× 132 1.0× 15 872
Maja Stikic 413 0.9× 190 1.1× 181 1.1× 60 0.4× 85 0.6× 17 839
Mads Møller Jensen 387 0.8× 243 1.4× 118 0.7× 42 0.3× 94 0.7× 18 835
Tobias Sonne 361 0.7× 246 1.4× 117 0.7× 41 0.3× 96 0.7× 15 892
Mu Lin 280 0.6× 102 0.6× 108 0.7× 139 0.9× 204 1.5× 13 968
Zhigang Liu 350 0.7× 88 0.5× 177 1.1× 207 1.4× 265 1.9× 38 737
Allan Stisen 448 0.9× 265 1.5× 181 1.1× 111 0.7× 212 1.5× 14 780
Henrik Blunck 529 1.1× 286 1.6× 240 1.4× 193 1.3× 330 2.4× 31 1.0k
Vikramaditya R. Jakkula 533 1.1× 214 1.2× 312 1.9× 66 0.4× 182 1.3× 12 879
Nikhil Dandekar 761 1.6× 189 1.1× 188 1.1× 122 0.8× 203 1.5× 10 1.0k

Countries citing papers authored by Danny Wyatt

Since Specialization
Citations

This map shows the geographic impact of Danny Wyatt'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 Danny Wyatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny Wyatt more than expected).

Fields of papers citing papers by Danny Wyatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danny Wyatt. 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 Danny Wyatt. The network helps show where Danny Wyatt may publish in the future.

Co-authorship network of co-authors of Danny Wyatt

This figure shows the co-authorship network connecting the top 25 collaborators of Danny Wyatt. A scholar is included among the top collaborators of Danny Wyatt 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 Danny Wyatt. Danny Wyatt 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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