Uma Ramamurthy
- Genetics top 10%
- Genomics and Rare Diseases 2
- BRCA gene mutations in cancer 2
- Hematology top 10%
- Obstetrics and Gynecology top 10%
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- Embodied and Extended Cognition 3
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- AI-based Problem Solving and Planning 6
- Reinforcement Learning in Robotics 3
- Multi-Agent Systems and Negotiation 2
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- Action Observation and Synchronization 2
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- Cancer Genomics and Diagnostics 2
- Co-authors
- Stan FranklinBernard J. BaarsSidney K. D’MelloMatthew VenturaRussell E. WareBrígida SantosLuís BernardinoPatrick T. McGann
- Partner nations
- United StatesAngolaUnited Kingdom
In The Last Decade
Uma Ramamurthy
26 papers receiving 463 citations
Peers
Comparison fields: 5 of 86
- Genetics 100
- Hematology 80
- Obstetrics and Gynecology 50
- Pediatrics, Perinatology and Child Health 117
- Cognitive Neuroscience 98
Countries citing papers authored by Uma Ramamurthy
This map shows the geographic impact of Uma Ramamurthy'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 Uma Ramamurthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uma Ramamurthy more than expected).
Fields of papers citing papers by Uma Ramamurthy
This network shows the impact of papers produced by Uma Ramamurthy. 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 Uma Ramamurthy. The network helps show where Uma Ramamurthy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Uma Ramamurthy, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2018 | 54 | |
| 5 | 2014 | 1 | |
| 6 | 2014 | 55 | |
| 7 | 2013 | 1 | |
| 8 | 2013 | 89 | |
| 9 | 2012 | 5 | |
| 10 | 2009 | 3 | |
| 11 | 2009 | 5 | |
| 12 | 2008 | 16 | |
| 13 | LIDA: A Computational Model of Global Workspace Theory and Developmental Learning. | 2007 | 32 |
| 14 | A Cognitive Science Based Machine Learning Architecture | 2006 | 8 |
| 15 | Realizing Forgetting in a Modified Sparse Distributed Memory System | 2006 | 6 |
| 16 | 2006 | 37 | |
| 17 | Motivations, Values and Emotions: 3 sides of the same coin | 2006 | 11 |
| 18 | Encoding and Retrieval Efficiency of Episodic Data in a Modified Sparse Distributed Memory System | 2005 | 8 |
| 19 | 2005 | 14 | |
| 20 | Consciousness and conceptual learning in a socially situated agent | 2000 | 13 |
About Uma Ramamurthy
Uma Ramamurthy is a scholar working on Artificial Intelligence, Genetics, Cognitive Neuroscience, Health Information Management and Pediatrics, Perinatology and Child Health, having authored 27 papers that have together received 484 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (6 papers), Reinforcement Learning in Robotics (3 papers), Embodied and Extended Cognition (3 papers), Genomics and Rare Diseases (2 papers), Multi-Agent Systems and Negotiation (2 papers), BRCA gene mutations in cancer (2 papers), Action Observation and Synchronization (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Genetics (100 citations), Hematology (80 citations), Obstetrics and Gynecology (50 citations), Pediatrics, Perinatology and Child Health (117 citations) and Cognitive Neuroscience (98 citations). Uma Ramamurthy has collaborated with scholars based in United States, Angola and United Kingdom. Frequent co-authors include Stan Franklin, Bernard J. Baars, Sidney K. D’Mello, Matthew Ventura, Russell E. Ware, Brígida Santos, Luís Bernardino, Patrick T. McGann, Medha Naik and Russell L. Deter. Their work appears in journals such as Journal of Clinical Oncology, Genome Medicine, Blood, Annals of Surgery and American Journal of Obstetrics and Gynecology.
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.