Raj P. Gopalan
- Health Informatics top 10%
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- Rough Sets and Fuzzy Logic 8
- Information Systems top 5%
- Data Mining Algorithms and Applications 11
- Signal Processing top 10%
- Data Management and Algorithms 8
- Artificial Intelligence top 10%
- Algorithms and Data Compression 4
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- Advanced Database Systems and Queries 5
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- Genetic Associations and Epidemiology 4
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- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 4
- Co-authors
- Aneesh KrishnaYudho Giri SucahyoAlva ErwinN. R. AchuthanJanne CadamuroAnna CarobeneSergio BernardiniFederico Cabitza
- Journals
- Scientific Reports (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)Heliyon (1 paper)
- Partner nations
- AustraliaUnited StatesAustria
In The Last Decade
Raj P. Gopalan
25 papers receiving 271 citations
Peers
Comparison fields: 5 of 54
- Health Informatics 18
- Computational Theory and Mathematics 139
- Information Systems 189
- Signal Processing 66
- Artificial Intelligence 119
Countries citing papers authored by Raj P. Gopalan
This map shows the geographic impact of Raj P. Gopalan'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 Raj P. Gopalan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raj P. Gopalan more than expected).
Fields of papers citing papers by Raj P. Gopalan
This network shows the impact of papers produced by Raj P. Gopalan. 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 Raj P. Gopalan. The network helps show where Raj P. Gopalan may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Raj P. Gopalan, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2020 | 1 | |
| 4 | TOWARDS DEEP LEARNING IN GENOME-WIDE ASSOCIATION INTERACTION STUDIES | 2016 | 7 |
| 5 | 2016 | 27 | |
| 6 | 2015 | 2 | |
| 7 | 2015 | 3 | |
| 8 | 2015 | 4 | |
| 9 | 2015 | 7 | |
| 10 | Detecting SNP Interactions in Balanced and Imbalanced Datasets using Associative Classification | 2014 | 2 |
| 11 | 2014 | 2 | |
| 12 | 2012 | 1 | |
| 13 | 2006 | 3 | |
| 14 | 2005 | 1 | |
| 15 | 2005 | 3 | |
| 16 | CT-ITL: efficient frequent item set mining using a compressed prefix tree with pattern growth | 2003 | 26 |
| 17 | Efficient mining of long frequent patterns from very large dense datasets | 2003 | 1 |
| 18 | Fast Frequent Itemset Mining using Compressed Data Representation. | 2003 | 7 |
| 19 | 2003 | 1 | |
| 20 | ITL-MINE: Mining Frequent Itemsets More Efficiently. | 2002 | 5 |
About Raj P. Gopalan
Raj P. Gopalan is a scholar working on Health Informatics, Signal Processing and Information Systems, having authored 28 papers that have together received 313 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (11 papers), Rough Sets and Fuzzy Logic (8 papers), Data Management and Algorithms (8 papers), Advanced Database Systems and Queries (5 papers), Genetic Associations and Epidemiology (4 papers), Bioinformatics and Genomic Networks (4 papers), Algorithms and Data Compression (4 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Health Informatics (18 citations), Computational Theory and Mathematics (139 citations) and Information Systems (189 citations). Raj P. Gopalan has collaborated with scholars based in Australia, United States and Austria. Frequent co-authors include Aneesh Krishna, Yudho Giri Sucahyo, Alva Erwin, N. R. Achuthan, Janne Cadamuro, Anna Carobene, Sergio Bernardini, Federico Cabitza, Jochen K. Lennerz and Yanrong Li. Their work appears in journals such as Scientific Reports, Clinical Chemistry and Laboratory Medicine (CCLM), Heliyon, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Journal of Software.
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.