Richard Hughey

6.4k total citations · 2 hit papers
60 papers, 4.7k citations indexed

About

Richard Hughey is a scholar working on Molecular Biology, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Richard Hughey has authored 60 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 25 papers in Artificial Intelligence and 15 papers in Hardware and Architecture. Recurrent topics in Richard Hughey's work include Algorithms and Data Compression (20 papers), Machine Learning in Bioinformatics (15 papers) and Genomics and Phylogenetic Studies (14 papers). Richard Hughey is often cited by papers focused on Algorithms and Data Compression (20 papers), Machine Learning in Bioinformatics (15 papers) and Genomics and Phylogenetic Studies (14 papers). Richard Hughey collaborates with scholars based in United States, United Kingdom and Chile. Richard Hughey's co-authors include Kevin Karplus, Curtis L. Barrett, Cyrus Chothia, Anders Krogh, Julian Gough, David Haussler, Christian Barrett, Shahzad I. Mian, Kimmen Sjölander and Mark Diekhans and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Journal of Molecular Biology.

In The Last Decade

Richard Hughey

58 papers receiving 4.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Assignment of homology to genome sequences using a library of hidden Markov models that represent all proteins of known structure

2001 962 citations Julian Gough, Kevin Karplus et al. Journal of Molecular Biology profile →
Hidden Markov models for detecting remote protein homologies.

1998 861 citations Kevin Karplus, Curtis L. Barrett et al. Bioinformatics profile →

Peers

Countries citing papers authored by Richard Hughey

Since Specialization

Citations

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

Fields of papers citing papers by Richard Hughey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Hughey

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Calibrating E-values for hidden Markov models using reverse-sequence null models 2005 ·Bioinformatics ·Kevin Karplus, Rachel Karchin, (unknown), Richard Hughey	32
2	Combining local-structure, fold-recognition, and new fold methods for protein structure prediction 2003 ·Proteins Structure Function and Bioinformatics ·Kevin Karplus, Rachel Karchin, Jenny Draper, Jonathan D. Casper, Yael Mandel‐Gutfreund, Mark Diekhans, Richard Hughey	235
3	Predicting reliable regions in protein sequence alignments 2002 ·Bioinformatics ·Melissa Cline, Richard Hughey, Kevin Karplus	63
4	Energy function-based approaches to graph coloring 2002 ·IEEE Transactions on Neural Networks ·Andrea Di Blas, Arun Jagota, Richard Hughey	20
5	Assignment of homology to genome sequences using a library of hidden Markov models that represent all proteins of known structure breakdown → 2001 ·Journal of Molecular Biology ·Julian Gough, Kevin Karplus, Richard Hughey, Cyrus Chothia	962
6	What is the value added by human intervention in protein structure prediction? 2001 ·Proteins Structure Function and Bioinformatics ·Kevin Karplus, Rachel Karchin, Christian Barrett, (unknown), Melissa Cline, Mark Diekhans, Leslie R. Grate, Jonathan D. Casper, Richard Hughey	102
7	The UCSC Kestrel General Purpose Parallel Processor. 1999 ·Parallel and Distributed Processing Techniques and Applications ·(unknown), Leslie R. Grate, (unknown), Richard Hughey	20
8	Predicting protein structure using only sequence information 1999 ·Proteins Structure Function and Bioinformatics ·Kevin Karplus, Christian Barrett, Melissa Cline, Mark Diekhans, Leslie R. Grate, Richard Hughey	90
9	Hidden Markov models for detecting remote protein homologies. breakdown → 1998 ·Bioinformatics ·Kevin Karplus, Curtis L. Barrett, Richard Hughey	861
10	Sequence comparisons using multiple sequences detect three times as many remote homologues as pairwise methods 1998 ·Journal of Molecular Biology ·Jong Moon Park, Kevin Karplus, Christian Barrett, Richard Hughey, David Haussler, Tim Hubbard, Cyrus Chothia	423
11	Weighting hidden Markov models for maximum discrimination. 1998 ·Bioinformatics ·Rachel Karchin, Richard Hughey	32
12	Reduced space hidden Markov model training. 1998 ·Bioinformatics ·(unknown), Richard Hughey	20
13	Statistical Modeling, Phylogenetic Analysis and Structure Prediction of a Protein Splicing Domain Common to Inteins and Hedgehog Proteins 1997 ·Journal of Computational Biology ·Jacob Z. Dalgaard, Michael J. Moser, Richard Hughey, Shahzad I. Mian	65
14	Scoring hidden Markov models 1997 ·Computer applications in the biosciences ·Christian Barrett, Richard Hughey, Kevin Karplus	67
15	Predicting protein structure using hidden Markov models 1997 ·Proteins Structure Function and Bioinformatics ·Kevin Karplus, Kimmen Sjölander, Christian Barrett, Melissa Cline, David Haussler, Richard Hughey, Liisa Holm, Chris Sander	5
16	Reduced space sequence alignment 1997 ·Computer applications in the biosciences ·(unknown), Richard Hughey, (unknown)	33
17	Parallel hardware for sequence comparison and alignment 1996 ·Computer applications in the biosciences ·Richard Hughey	53
18	Dirichlet mixtures: a method for improved detection of weak but significant protein sequence homology 1996 ·Computer applications in the biosciences ·Kimmen Sjölander, Kevin Karplus, Michael Brown, Richard Hughey, Anders Krogh, Shahzad I. Mian, David Haussler	246
19	Stochastic context-free grammers for tRNA modeling 1994 ·Nucleic Acids Research ·Yasubumi Sakakibara, Michael P. Brown, Richard Hughey, Shahzad I. Mian, Kimmen Sjölander, (unknown), David Haussler	248
20	B-SYS: A 470-Processor Programmable Systolic Array 1991 ·Richard Hughey, Daniel Lopresti	19

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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