Renu Garg
- Safety, Risk, Reliability and Quality top 1%
- Statistics and Probability top 1%
- Software top 2%
- Statistics, Probability and Uncertainty top 1%
- Information Systems top 5%
- Co-authors
- P. K. KapurHare KrishnaKapil KumarAjit ChaturvediAbhishek TandonAnu G. AggarwalMin XieRamy Aldallal
- Topics
- Statistical Distribution Estimation and Applications (30 papers)Probabilistic and Robust Engineering Design (21 papers)Reliability and Maintenance Optimization (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEMultimedia Tools and Applications
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Renu Garg
32 papers receiving 589 citations
Peers
Comparison fields: 5 of 27
- Safety, Risk, Reliability and Quality 384
- Statistics and Probability 374
- Software 293
- Statistics, Probability and Uncertainty 290
- Information Systems 161
Countries citing papers authored by Renu Garg
This map shows the geographic impact of Renu Garg'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 Renu Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renu Garg more than expected).
Fields of papers citing papers by Renu Garg
This network shows the impact of papers produced by Renu Garg. 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 Renu Garg. The network helps show where Renu Garg may publish in the future.
Co-authorship network of co-authors of Renu Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Renu Garg. A scholar is included among the top collaborators of Renu Garg 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 Renu Garg. Renu Garg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 18 | |
| 9 | 6 | |
| 10 | 22 | |
| 11 | 12 | |
| 12 | 12 | |
| 13 | 0 | |
| 14 | 56 | |
| 15 | 10 | |
| 16 | 127 | |
| 17 | 30 | |
| 18 | 37 | |
| 19 | 4 | |
| 20 | 35 |
About Renu Garg
Renu Garg is a scholar working on Software, Statistics and Probability and Statistics, Probability and Uncertainty, having authored 36 papers that have together received 624 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (30 papers), Probabilistic and Robust Engineering Design (21 papers) and Reliability and Maintenance Optimization (20 papers). The work is most often cited by research in Software (293 citations), Statistics and Probability (374 citations) and Safety, Risk, Reliability and Quality (384 citations). Renu Garg has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include P. K. Kapur, Hare Krishna, Kapil Kumar, Ajit Chaturvedi, Abhishek Tandon, Anu G. Aggarwal, Min Xie, Ramy Aldallal, Udayan Chanda and Kapil Sharma. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Multimedia Tools and Applications.
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.