Michael C. Hughes

2.2k citations
62 papers · 928 indexed · h-index 19
Topics
Metal complexes synthesis and properties (8 papers)Bayesian Methods and Mixture Models (7 papers)Magnetism in coordination complexes (6 papers)

In The Last Decade

Michael C. Hughes

59 papers receiving 844 citations

Peers

Michael C. Hughes
Comparison fields: 5 of 166
  • Artificial Intelligence 217
  • Oncology 146
  • Organic Chemistry 107
  • Materials Chemistry 101
  • Electronic, Optical and Magnetic Materials 98
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Martin K. Stiles New Zealand
William Walter Simons United States
Yashu Liu China
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Citations per field
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Countries citing papers authored by Michael C. Hughes

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Hughes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Hughes. 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 Michael C. Hughes. The network helps show where Michael C. Hughes may publish in the future.

Co-authorship network of co-authors of Michael C. Hughes

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 16
3 9
4 1
5 18
6
Hierarchical Classification of Enzyme Promiscuity Using Positive, Unlabeled, and Hard Negative Examples.
1
7 14
8 7
9
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks
5
10
Semi-Supervised Prediction-Constrained Topic Models
6
11
Refinery: an open source topic modeling web platform
1
12
From Patches to Images: A Nonparametric Generative Model.
2
13
Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process
12
14
Scalable adaptation of state complexity for nonparametric hidden Markov models
11
15
Memoized Online Variational Inference for Dirichlet Process Mixture Models
44
16
Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data
22
17 10
18 18
19 44
20 1

About Michael C. Hughes

Michael C. Hughes is a scholar working on Electrochemistry, Artificial Intelligence and Signal Processing, having authored 62 papers that have together received 928 indexed citations. Recurring topics across this work include Metal complexes synthesis and properties (8 papers), Bayesian Methods and Mixture Models (7 papers) and Magnetism in coordination complexes (6 papers). The work is most often cited by research in Health Informatics (16 citations), General Decision Sciences (16 citations) and Electrochemistry (51 citations). Michael C. Hughes has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Daniel J. Macero, Erik B. Sudderth, Lawrence D. Phillips, Emily B. Fox, Finale Doshi‐Velez, Michael I. Jordan, Mary Sohn, Charles D. Schaeffer, J. J. Zuckerman and Roy H. Perlis. Their work appears in journals such as Blood, Bioinformatics and Journal of Applied Physics.

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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