Govind Peringod
About
In The Last Decade
Govind Peringod
8 papers receiving 385 citations
Peers
Comparison fields: 5 of 63
- Cellular and Molecular Neuroscience 161
- Neurology 114
- Cognitive Neuroscience 83
- Behavioral Neuroscience 81
- Molecular Biology 79
Countries citing papers authored by Govind Peringod
This map shows the geographic impact of Govind Peringod'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 Govind Peringod with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Govind Peringod more than expected).
Fields of papers citing papers by Govind Peringod
This network shows the impact of papers produced by Govind Peringod. 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 Govind Peringod. The network helps show where Govind Peringod may publish in the future.
Co-authorship network of co-authors of Govind Peringod
This figure shows the co-authorship network connecting the top 25 collaborators of Govind Peringod. A scholar is included among the top collaborators of Govind Peringod 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 Govind Peringod. Govind Peringod 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 | 42 | |
| 3 | 3 | |
| 4 | 32 | |
| 5 | 106 | |
| 6 | 4 | |
| 7 | 115 | |
| 8 | 83 |
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.