John Rachlin
Impact in
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- Scheduling and Optimization Algorithms
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- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Gene expression and cancer classification
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
Papers in
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- RNA and protein synthesis mechanisms 2
- Bioinformatics and Genomic Networks 2
- Molecular Biology Techniques and Applications 2
- Gene expression and cancer classification 2
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- Scheduling and Optimization Algorithms 2
- Optimization and Packing Problems 1
- Co-authors
- Simon Kasif (5 shared papers)Charles R. Cantor (3 shared papers)Martín Steffen (1 shared paper)Yi-Chien Chang (1 shared paper)Zhenjun Hu (1 shared paper)David W. Aha (1 shared paper)Richard J. Roberts (1 shared paper)David L. Waltz (1 shared paper)
- Journals
- Artificial Intelligence (1 paper)Molecular Systems Biology (1 paper)BMC Genomics (1 paper)Nucleic Acids Research (1 paper)Journal of Computational Biology (1 paper)
- Partner nations
- United StatesIsraelHong Kong
In The Last Decade
John Rachlin
6 papers receiving 179 citations
Peers
Comparison fields: 5 of 77
- Industrial and Manufacturing Engineering 19
- Molecular Biology 102
- Management Information Systems 11
- Artificial Intelligence 37
- Computational Theory and Mathematics 18
Countries citing papers authored by John Rachlin
This map shows the geographic impact of John Rachlin'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 John Rachlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Rachlin more than expected).
Fields of papers citing papers by John Rachlin
This network shows the impact of papers produced by John Rachlin. 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 John Rachlin. The network helps show where John Rachlin may publish in the future.
Co-authors
The 21 scholars most cited alongside John Rachlin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 63 | |
| 2 | 2015 | 41 | |
| 3 | 1999 | 35 | |
| 4 | 1998 | 31 | |
| 5 | 2005 | 17 | |
| 6 | 2006 | 4 | |
| 7 | Interactive Decision Support: Advantages of an Incomplete Utility Model | 1998 | 1 |
| 8 | Enhancing the Decision Making Process for Paper Mill Schedulers. | 1998 | 0 |
About John Rachlin
John Rachlin is a scholar working on Molecular Biology, Industrial and Manufacturing Engineering, General Health Professions, Management Information Systems and Signal Processing, having authored 8 papers that have together received 192 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (2 papers), Bioinformatics and Genomic Networks (2 papers), Scheduling and Optimization Algorithms (2 papers), Molecular Biology Techniques and Applications (2 papers), Gene expression and cancer classification (2 papers), Data Management and Algorithms (1 paper), Optimization and Packing Problems (1 paper) and Hermeneutics and Narrative Identity (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (19 citations), Molecular Biology (102 citations), Management Information Systems (11 citations), Artificial Intelligence (37 citations) and Computational Theory and Mathematics (18 citations). John Rachlin has collaborated with scholars based in United States, Israel and Hong Kong. Frequent co-authors include Simon Kasif, Charles R. Cantor, Martín Steffen, Yi-Chien Chang, Zhenjun Hu, David W. Aha, Richard J. Roberts, David L. Waltz, Brian P. Anton and Steven L. Salzberg. Their work appears in journals such as Artificial Intelligence, Molecular Systems Biology, BMC Genomics, Nucleic Acids Research and Journal of Computational Biology.
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.