M.A. Jayaram
Impact in
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- Artificial Intelligence in Healthcare
- Artificial Intelligence top 10%
- Imbalanced Data Classification Techniques
- Machine Learning and Data Classification
Papers in
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- Innovative concrete reinforcement materials 7
- Infrastructure Maintenance and Monitoring 6
- Concrete and Cement Materials Research 4
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- Imbalanced Data Classification Techniques 6
- Co-authors
- Asha Gowda Karegowda (11 shared papers)A. S. Manjunath (8 shared papers)M. C. Nataraja (8 shared papers)Hasan Fleyeh (2 shared papers)S.S. Asadi (1 shared paper)A. Veeraragavan (1 shared paper)
In The Last Decade
M.A. Jayaram
39 papers receiving 461 citations
Peers
Comparison fields: 5 of 96
- Health Information Management 140
- Artificial Intelligence 200
- Computer Vision and Pattern Recognition 99
- Information Systems 96
- Civil and Structural Engineering 80
Countries citing papers authored by M.A. Jayaram
This map shows the geographic impact of M.A. Jayaram'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 M.A. Jayaram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.A. Jayaram more than expected).
Fields of papers citing papers by M.A. Jayaram
This network shows the impact of papers produced by M.A. Jayaram. 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 M.A. Jayaram. The network helps show where M.A. Jayaram may publish in the future.
Co-authors
The 6 scholars most cited alongside M.A. Jayaram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 119 | |
| 2 | 2010 | 106 | |
| 3 | 2016 | 42 | |
| 4 | 2011 | 39 | |
| 5 | 2009 | 30 | |
| 6 | 2009 | 30 | |
| 7 | Rule based Classification for Diabetic Patients using Cascaded K-Means and Decision Tree C4.5 | 2012 | 29 |
| 8 | A Fuzzy-Neuro Model for Normal Concrete Mix Design | 2006 | 18 |
| 9 | Prediction of Early Strength of Concrete: A Fuzzy Inference System Model | 2006 | 18 |
| 10 | 2011 | 16 | |
| 11 | 2020 | 9 | |
| 12 | 2012 | 8 | |
| 13 | 2010 | 7 | |
| 14 | 2012 | 6 | |
| 15 | 2010 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2017 | 5 | |
| 18 | 2013 | 4 | |
| 19 | 2016 | 4 | |
| 20 | 2017 | 3 |
About M.A. Jayaram
M.A. Jayaram is a scholar working on Civil and Structural Engineering, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Building and Construction, having authored 44 papers that have together received 533 indexed citations. Recurring topics across this work include Innovative concrete reinforcement materials (7 papers), Data Mining Algorithms and Applications (7 papers), Infrastructure Maintenance and Monitoring (6 papers), Imbalanced Data Classification Techniques (6 papers), Artificial Intelligence in Healthcare (5 papers), BIM and Construction Integration (5 papers), Retinal Imaging and Analysis (4 papers) and Concrete and Cement Materials Research (4 papers). The work is most often cited by research in Health Information Management (140 citations), Artificial Intelligence (200 citations), Computer Vision and Pattern Recognition (99 citations), Information Systems (96 citations) and Civil and Structural Engineering (80 citations). M.A. Jayaram has collaborated with scholars based in India and Sweden. Frequent co-authors include Asha Gowda Karegowda, A. S. Manjunath, M. C. Nataraja, Hasan Fleyeh, S.S. Asadi and A. Veeraragavan. Their work appears in journals such as International Journal of Neural Systems, Materials and Manufacturing Processes, Journal of Intelligent Systems, Materials Today Proceedings and Engineering letters.
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.