Sanjeev Garg
About
In The Last Decade
Sanjeev Garg
25 papers receiving 681 citations
Peers
Comparison fields: 5 of 91
- Biomedical Engineering 407
- Mechanical Engineering 216
- Molecular Biology 160
- Plant Science 139
- Fluid Flow and Transfer Processes 130
Countries citing papers authored by Sanjeev Garg
This map shows the geographic impact of Sanjeev 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 Sanjeev Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjeev Garg more than expected).
Fields of papers citing papers by Sanjeev Garg
This network shows the impact of papers produced by Sanjeev 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 Sanjeev Garg. The network helps show where Sanjeev Garg may publish in the future.
Co-authorship network of co-authors of Sanjeev Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeev Garg. A scholar is included among the top collaborators of Sanjeev 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 Sanjeev Garg. Sanjeev 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 | 1 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 18 | |
| 5 | 6 | |
| 6 | 16 | |
| 7 | 9 | |
| 8 | 17 | |
| 9 | 20 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 87 | |
| 13 | 4 | |
| 14 | 13 | |
| 15 | 35 | |
| 16 | 87 | |
| 17 | 17 | |
| 18 | Systems engineering approaches to computational biology | 2 |
| 19 | 5 | |
| 20 | 22 |
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.