J. V. R. Murthy
- Artificial Intelligence
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Signal Processing
- Co-authors
- Suresh Chandra SatapathyP. V. G. D. Prasad ReddyM. Ramakrishna MurtyP. Radha KrishnaG. K. PandaK. ParvathiAnima NaikBijan Bihari Misra
- Topics
- Advanced Clustering Algorithms Research (9 papers)Metaheuristic Optimization Algorithms Research (7 papers)Face and Expression Recognition (5 papers)
- Journals
- Applied Soft ComputingApplied Mathematical ModellingJournal of King Saud University - Computer and Information Sciences
- Partner nations
- IndiaUnited States
In The Last Decade
J. V. R. Murthy
30 papers receiving 181 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 84
- Information Systems 59
- Computer Vision and Pattern Recognition 34
- Computer Networks and Communications 23
- Signal Processing 18
Countries citing papers authored by J. V. R. Murthy
This map shows the geographic impact of J. V. R. Murthy'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 J. V. R. Murthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. V. R. Murthy more than expected).
Fields of papers citing papers by J. V. R. Murthy
This network shows the impact of papers produced by J. V. R. Murthy. 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 J. V. R. Murthy. The network helps show where J. V. R. Murthy may publish in the future.
Co-authorship network of co-authors of J. V. R. Murthy
This figure shows the co-authorship network connecting the top 25 collaborators of J. V. R. Murthy. A scholar is included among the top collaborators of J. V. R. Murthy 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 J. V. R. Murthy. J. V. R. Murthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | A New Approach to Cluster Datasets without Prior Knowledge of Number of Clusters | 2 |
| 7 | 15 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | Fast Expectation Maximization Clustering Algorithm | 2 |
| 11 | A Novel Neural Network Classifier for Brain Computer Interface | 0 |
| 12 | An INTELLIGENT ANALYSIS OF CRIME DATA USING DATA MINING A AUTO CORRELATION MODELS | 3 |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 15 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | Hybridized Improved Genetic Algorithm with Variable Length Chromosome for Image Clustering | 13 |
| 19 | 2 | |
| 20 | 9 |
About J. V. R. Murthy
J. V. R. Murthy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 34 papers that have together received 198 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (9 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Information Systems (59 citations), Artificial Intelligence (84 citations) and Signal Processing (18 citations). J. V. R. Murthy has collaborated with scholars based in India and United States. Frequent co-authors include Suresh Chandra Satapathy, P. V. G. D. Prasad Reddy, M. Ramakrishna Murty, P. Radha Krishna, G. K. Panda, K. Parvathi, Anima Naik, Bijan Bihari Misra, P.K. Dash and Ashutosh Saxena. Their work appears in journals such as Applied Soft Computing, Applied Mathematical Modelling and Journal of King Saud University - Computer and Information Sciences.
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.