Rajkumar Ramamurthy
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
- Explainable Artificial Intelligence (XAI)
- Adversarial Robustness in Machine Learning
- Natural Language Processing Techniques
- Health Informatics top 10%
Papers in
-
- Anomaly Detection Techniques and Applications 5
- Advanced Text Analysis Techniques 5
- Adversarial Robustness in Machine Learning 4
- Topic Modeling 4
- Natural Language Processing Techniques 3
- Evolutionary Algorithms and Applications 3
- Reinforcement Learning in Robotics 3
- Neural Networks and Applications 3
- Co-authors
- Christian Bauckhage (21 shared papers)Katharina Beckh (1 shared paper)Laura von Rueden (1 shared paper)Birgit Kirsch (1 shared paper)Jochen Garcke (1 shared paper)Michał Walczak (1 shared paper)Julius Pfrommer (1 shared paper)Sebastian Mayer (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (1 paper)Lecture notes in computer science (7 papers)International Journal of Data Science and Analytics (2 papers)KI - Künstliche Intelligenz (1 paper)Advances in intelligent systems and computing (1 paper)
- Partner nations
- Germany
In The Last Decade
Rajkumar Ramamurthy
22 papers receiving 633 citations
Rajkumar Ramamurthy's Hit Papers
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 295
- Health Informatics 11
- Computational Mathematics 3
- Statistical and Nonlinear Physics 51
- Management Science and Operations Research 45
Countries citing papers authored by Rajkumar Ramamurthy
This map shows the geographic impact of Rajkumar 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 Rajkumar Ramamurthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajkumar Ramamurthy more than expected).
Fields of papers citing papers by Rajkumar Ramamurthy
This network shows the impact of papers produced by Rajkumar 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 Rajkumar Ramamurthy. The network helps show where Rajkumar Ramamurthy may publish in the future.
Co-authors
The 17 scholars most cited alongside Rajkumar 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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems Hit paper breakdown → | 2021 | 526 |
| 2 | 2021 | 26 | |
| 3 | 2019 | 13 | |
| 4 | 2017 | 11 | |
| 5 | 2021 | 10 | |
| 6 | 2019 | 9 | |
| 7 | 2021 | 8 | |
| 8 | 2019 | 7 | |
| 9 | 2020 | 7 | |
| 10 | 2019 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2018 | 1 | |
| 20 | 2020 | 1 |
About Rajkumar Ramamurthy
Rajkumar Ramamurthy is a scholar working on Artificial Intelligence, Information Systems, Computational Mathematics, Signal Processing and Management Science and Operations Research, having authored 23 papers that have together received 651 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (5 papers), Advanced Text Analysis Techniques (5 papers), Adversarial Robustness in Machine Learning (4 papers), Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers), Evolutionary Algorithms and Applications (3 papers), Reinforcement Learning in Robotics (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (295 citations), Health Informatics (11 citations), Computational Mathematics (3 citations), Statistical and Nonlinear Physics (51 citations) and Management Science and Operations Research (45 citations). Rajkumar Ramamurthy has collaborated with scholars based in Germany. Frequent co-authors include Christian Bauckhage, Katharina Beckh, Laura von Rueden, Birgit Kirsch, Jochen Garcke, Michał Walczak, Julius Pfrommer, Sebastian Mayer, Sven Giesselbach and Raoul Heese. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Lecture notes in computer science, International Journal of Data Science and Analytics, KI - Künstliche Intelligenz and Advances in intelligent systems and computing.
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.