Putty‐Reddy Sudhir
About
In The Last Decade
Putty‐Reddy Sudhir
16 papers receiving 688 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Putty‐Reddy Sudhir Taiwan | 11 | 316 | 193 | 114 | 96 | 86 | 16 | 702 | ||
| Xiaoyang Zheng United States | 11 | 472 1.5× | 139 0.7× | 151 1.3× | 87 0.9× | 39 0.5× | 15 | 863 | ||
| Nick A. van Huizen Netherlands | 11 | 110 0.3× | 62 0.3× | 79 0.7× | 80 0.8× | 24 0.3× | 19 | 421 | ||
| Chieh‐Lin Wu Taiwan | 14 | 358 1.1× | 75 0.4× | 97 0.9× | 89 0.9× | 12 0.1× | 17 | 703 | ||
| Xuemei Huang China | 17 | 638 2.0× | 42 0.2× | 110 1.0× | 61 0.6× | 15 0.2× | 34 | 1.1k | ||
| Yejing Weng China | 16 | 793 2.5× | 222 1.2× | 95 0.8× | 141 1.5× | 8 0.1× | 24 | 1.0k | ||
| Sachiko Inubushi Japan | 17 | 477 1.5× | 44 0.2× | 164 1.4× | 192 2.0× | 18 0.2× | 44 | 939 | ||
| H. Wessels Netherlands | 20 | 505 1.6× | 105 0.5× | 177 1.6× | 113 1.2× | 17 0.2× | 62 | 1.5k | ||
| W C Kenney United States | 16 | 451 1.4× | 69 0.4× | 69 0.6× | 26 0.3× | 24 0.3× | 25 | 910 | ||
| Eric Ueda United States | 13 | 440 1.4× | 88 0.5× | 85 0.7× | 82 0.9× | 8 0.1× | 18 | 691 | ||
| Yapeng Su United States | 15 | 513 1.6× | 72 0.4× | 178 1.6× | 228 2.4× | 7 0.1× | 29 | 933 |
Countries citing papers authored by Putty‐Reddy Sudhir
This map shows the geographic impact of Putty‐Reddy Sudhir'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 Putty‐Reddy Sudhir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Putty‐Reddy Sudhir more than expected).
Fields of papers citing papers by Putty‐Reddy Sudhir
This network shows the impact of papers produced by Putty‐Reddy Sudhir. 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 Putty‐Reddy Sudhir. The network helps show where Putty‐Reddy Sudhir may publish in the future.
Co-authorship network of co-authors of Putty‐Reddy Sudhir
This figure shows the co-authorship network connecting the top 25 collaborators of Putty‐Reddy Sudhir. A scholar is included among the top collaborators of Putty‐Reddy Sudhir 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 Putty‐Reddy Sudhir. Putty‐Reddy Sudhir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
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.