Choudur Lakshminarayan
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Cardiology and Cardiovascular Medicine
- Signal Processing top 10%
- Biomedical Engineering
- Co-authors
- Alexander AlvaradoVanish TalwarKrishnamurthy ViswanathanChengwei WangKarsten SchwanJosé C. Prı́ncipeMeichun HsuK. Viswanathan
- Topics
- Anomaly Detection Techniques and Applications (4 papers)Time Series Analysis and Forecasting (3 papers)ECG Monitoring and Analysis (2 papers)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Choudur Lakshminarayan
17 papers receiving 285 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 141
- Computer Networks and Communications 117
- Cardiology and Cardiovascular Medicine 78
- Signal Processing 62
- Biomedical Engineering 57
Countries citing papers authored by Choudur Lakshminarayan
This map shows the geographic impact of Choudur Lakshminarayan'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 Choudur Lakshminarayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Choudur Lakshminarayan more than expected).
Fields of papers citing papers by Choudur Lakshminarayan
This network shows the impact of papers produced by Choudur Lakshminarayan. 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 Choudur Lakshminarayan. The network helps show where Choudur Lakshminarayan may publish in the future.
Co-authorship network of co-authors of Choudur Lakshminarayan
This figure shows the co-authorship network connecting the top 25 collaborators of Choudur Lakshminarayan. A scholar is included among the top collaborators of Choudur Lakshminarayan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Choudur Lakshminarayan. Choudur Lakshminarayan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 87 | |
| 9 | 23 | |
| 10 | 15 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 129 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 1 |
About Choudur Lakshminarayan
Choudur Lakshminarayan is a scholar working on Signal Processing, Statistics and Probability and Statistics, Probability and Uncertainty, having authored 17 papers that have together received 307 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (4 papers), Time Series Analysis and Forecasting (3 papers) and ECG Monitoring and Analysis (2 papers). The work is most often cited by research in Signal Processing (62 citations), Computer Networks and Communications (117 citations) and Artificial Intelligence (141 citations). Choudur Lakshminarayan has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Alexander Alvarado, Vanish Talwar, Krishnamurthy Viswanathan, Chengwei Wang, Karsten Schwan, José C. Prı́ncipe, Meichun Hsu, K. Viswanathan, Georgy Shevlyakov and Chengwei Wang. Their work appears in journals such as Technometrics, Scientific Reports and IEEE Transactions on Biomedical Engineering.
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.