Susan M. Bridges
- Molecular Biology top 10%
- Plant Science top 5%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Genetics
- Co-authors
- Marvin L. SalinShane C. BurgessFiona McCarthyMark L. LawrenceWilliam S. SandersBrandon MaloneZhaohua PengW. Paul Williams
- Topics
- Genomics and Phylogenetic Studies (18 papers)Gene expression and cancer classification (9 papers)Bioinformatics and Genomic Networks (7 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Susan M. Bridges
66 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 143
- Molecular Biology 980
- Plant Science 488
- Artificial Intelligence 282
- Computer Networks and Communications 259
- Genetics 162
Countries citing papers authored by Susan M. Bridges
This map shows the geographic impact of Susan M. Bridges'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 Susan M. Bridges with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan M. Bridges more than expected).
Fields of papers citing papers by Susan M. Bridges
This network shows the impact of papers produced by Susan M. Bridges. 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 Susan M. Bridges. The network helps show where Susan M. Bridges may publish in the future.
Co-authorship network of co-authors of Susan M. Bridges
This figure shows the co-authorship network connecting the top 25 collaborators of Susan M. Bridges. A scholar is included among the top collaborators of Susan M. Bridges 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 Susan M. Bridges. Susan M. Bridges is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | Improving the scalability of optimal Bayesian network learning with external-memory frontier breadth-first branch and bound search | 17 |
| 3 | 124 | |
| 4 | 47 | |
| 5 | 46 | |
| 6 | 49 | |
| 7 | 22 | |
| 8 | 19 | |
| 9 | 24 | |
| 10 | 40 | |
| 11 | 60 | |
| 12 | 2 | |
| 13 | 39 | |
| 14 | 235 | |
| 15 | Incremental estimation of discrete hidden Markov models based on a new backward procedure | 11 |
| 16 | 173 | |
| 17 | 1 | |
| 18 | 12 | |
| 19 | 39 | |
| 20 | 56 |
About Susan M. Bridges
Susan M. Bridges is a scholar working on Computer Science Applications, Molecular Biology and Hardware and Architecture, having authored 67 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (18 papers), Gene expression and cancer classification (9 papers) and Bioinformatics and Genomic Networks (7 papers). The work is most often cited by research in Molecular Biology (980 citations), Signal Processing (141 citations) and Plant Science (488 citations). Susan M. Bridges has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Marvin L. Salin, Shane C. Burgess, Fiona McCarthy, Mark L. Lawrence, William S. Sanders, Brandon Malone, Zhaohua Peng, W. Paul Williams, Kenneth O. Willeford and Colin I. Johnston. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and PLANT PHYSIOLOGY.
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.