Edward Meeds

30 total papers · 733 total citations
11 papers, 198 citations indexed

About

Edward Meeds is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Edward Meeds has authored 11 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Statistics and Probability. Recurrent topics in Edward Meeds's work include Gaussian Processes and Bayesian Inference (6 papers), Bayesian Methods and Mixture Models (2 papers) and Machine Learning and Algorithms (2 papers). Edward Meeds is often cited by papers focused on Gaussian Processes and Bayesian Inference (6 papers), Bayesian Methods and Mixture Models (2 papers) and Machine Learning and Algorithms (2 papers). Edward Meeds collaborates with scholars based in Netherlands, United States and United Kingdom. Edward Meeds's co-authors include Simon Osindero, Max Welling, Karen Ullrich, Sam T. Roweis, Sebastian Nowozin, Anqi Wu, José Miguel Hernández-Lobato, Alexander L. Gaunt, Richard E. Turner and David A. Ross and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Biology and arXiv (Cornell University).

In The Last Decade

Edward Meeds

11 papers receiving 187 citations

Author Peers

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

Author Last Decade Papers Cites
Edward Meeds 140 49 26 25 19 11 198
Thang D. Bui 174 1.2× 56 1.1× 16 0.6× 34 1.4× 36 1.9× 9 225
Sajid M. Siddiqi 224 1.6× 34 0.7× 50 1.9× 60 2.4× 25 1.3× 13 291
Edward T. Lee 163 1.2× 49 1.0× 11 0.4× 31 1.2× 52 2.7× 18 232
Yiwei Wang 200 1.4× 44 0.9× 15 0.6× 12 0.5× 10 0.5× 12 257
Nathalie Villa 77 0.6× 49 1.0× 20 0.8× 37 1.5× 16 0.8× 8 214
Nishant A. Mehta 84 0.6× 32 0.7× 14 0.5× 6 0.2× 12 0.6× 16 181
R.D. Turner 143 1.0× 14 0.3× 40 1.5× 58 2.3× 40 2.1× 9 230
Xuan Hong Dang 236 1.7× 49 1.0× 87 3.3× 9 0.4× 14 0.7× 15 273
G. Phanendra Babu 184 1.3× 116 2.4× 42 1.6× 15 0.6× 25 1.3× 13 291
M. Rifqi 80 0.6× 13 0.3× 13 0.5× 18 0.7× 28 1.5× 8 129

Countries citing papers authored by Edward Meeds

Since Specialization
Citations

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

Fields of papers citing papers by Edward Meeds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward Meeds

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