Pravin Chandra
- Artificial Intelligence top 5%
- Information Systems top 5%
- Software top 2%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Yogesh SinghK.K. AggarwalNihar Ranjan RoyDeepak SharmaRinkaj GoyalSarfaraz MasoodM. HanmandluM. N. Doja
- Topics
- Neural Networks and Applications (40 papers)Software Reliability and Analysis Research (20 papers)Machine Learning and ELM (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessNeurocomputing
- Partner nations
- IndiaUnited States
In The Last Decade
Pravin Chandra
80 papers receiving 785 citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 348
- Information Systems 231
- Software 174
- Computer Networks and Communications 164
- Computer Vision and Pattern Recognition 157
Countries citing papers authored by Pravin Chandra
This map shows the geographic impact of Pravin Chandra'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 Pravin Chandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pravin Chandra more than expected).
Fields of papers citing papers by Pravin Chandra
This network shows the impact of papers produced by Pravin Chandra. 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 Pravin Chandra. The network helps show where Pravin Chandra may publish in the future.
Co-authorship network of co-authors of Pravin Chandra
This figure shows the co-authorship network connecting the top 25 collaborators of Pravin Chandra. A scholar is included among the top collaborators of Pravin Chandra 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 Pravin Chandra. Pravin Chandra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | A Comparative Study of Clustering Algorithms | 5 |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | Comparison of sigmoidal FFANN training algorithms for function approximation problems | 1 |
| 10 | 4 | |
| 11 | 13 | |
| 12 | Impact of Interaction in the Combined Metrics Approach for Fault Prediction | 4 |
| 13 | 1 | |
| 14 | 11 | |
| 15 | 9 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 9 | |
| 19 | 38 | |
| 20 | 35 |
About Pravin Chandra
Pravin Chandra is a scholar working on Software, Artificial Intelligence and Signal Processing, having authored 84 papers that have together received 870 indexed citations. Recurring topics across this work include Neural Networks and Applications (40 papers), Software Reliability and Analysis Research (20 papers) and Machine Learning and ELM (19 papers). The work is most often cited by research in Software (174 citations), Artificial Intelligence (348 citations) and Information Systems (231 citations). Pravin Chandra has collaborated with scholars based in India and United States. Frequent co-authors include Yogesh Singh, K.K. Aggarwal, Nihar Ranjan Roy, Deepak Sharma, Rinkaj Goyal, Sarfaraz Masood, M. Hanmandlu, M. N. Doja, Kulvinder Singh and Udayan Ghose. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Neurocomputing.
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.