M. Ramaswami
Impact in
- Finance top 10%
- Credit Risk and Financial Regulations
- Financial Markets and Investment Strategies
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- Corporate Finance and Governance
Papers in
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- Advanced Data Storage Technologies 2
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- Cryptographic Implementations and Security 3
- Imbalanced Data Classification Techniques 2
- Co-authors
- João Paulo C. L. da Costa (1 shared paper)Michael Shebanow (2 shared papers)Ashok V. Krishnamoorthy (1 shared paper)Takuro Maruyama (1 shared paper)
In The Last Decade
M. Ramaswami
14 papers receiving 84 citations
Peers
Comparison fields: 5 of 29
- Finance 36
- Accounting 21
- Computer Science Applications 9
- Hardware and Architecture 10
- General Economics, Econometrics and Finance 12
Countries citing papers authored by M. Ramaswami
This map shows the geographic impact of M. Ramaswami'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. Ramaswami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ramaswami more than expected).
Fields of papers citing papers by M. Ramaswami
This network shows the impact of papers produced by M. Ramaswami. 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. Ramaswami. The network helps show where M. Ramaswami may publish in the future.
Co-authors
The 4 scholars most cited alongside M. Ramaswami, 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 | 1991 | 30 | |
| 2 | 1987 | 11 | |
| 3 | 1995 | 9 | |
| 4 | Validating Predictive Performance of Classifier Models for Multiclass Problem in Educational Data Mining | 2014 | 9 |
| 5 | 2012 | 8 | |
| 6 | 2017 | 7 | |
| 7 | 2020 | 7 | |
| 8 | Investing in Financially Distressed Firms: A Guide to Pre- and Post-Bankruptcy Opportunities | 1990 | 5 |
| 9 | Comprehensive Analysis on Lightweight Cryptographic Algorithms for Low Resource Devices | 2019 | 4 |
| 10 | Student Performance Prediction Modeling: A Bayesian Network Approach | 2012 | 4 |
| 11 | 2018 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2017 | 2 | |
| 14 | 1995 | 1 | |
| 15 | 1990 | 1 | |
| 16 | Toward a phenomenology of wood : interpreting the Yoshimura house, a Japanese vernacular dwelling, through Thiis-Evensen's architectural archetypes | 2017 | 0 |
About M. Ramaswami
M. Ramaswami is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Strategy and Management, having authored 16 papers that have together received 102 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (3 papers), Cryptographic Implementations and Security (3 papers), Data Mining Algorithms and Applications (2 papers), Insurance and Financial Risk Management (2 papers), Imbalanced Data Classification Techniques (2 papers), Parallel Computing and Optimization Techniques (2 papers), Advanced Data Storage Technologies (2 papers) and Financial Reporting and Valuation Research (2 papers). The work is most often cited by research in Finance (36 citations), Accounting (21 citations), Computer Science Applications (9 citations), Hardware and Architecture (10 citations) and General Economics, Econometrics and Finance (12 citations). M. Ramaswami has collaborated with scholars based in India, Japan and Portugal. Frequent co-authors include João Paulo C. L. da Costa, Michael Shebanow, Ashok V. Krishnamoorthy and Takuro Maruyama. Their work appears in journals such as Financial Analysts Journal, Financial Review, Wireless Personal Communications, Peer-to-Peer Networking and Applications and International Journal of Electrical and Computer Engineering (IJECE).
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.