Neha Aggarwal
About
In The Last Decade
Neha Aggarwal
67 papers receiving 1.2k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Neha Aggarwal India | 16 | 289 | 269 | 265 | 191 | 135 | 71 | 1.2k | ||
| Mathumai Kanapathipillai United States | 18 | 493 1.7× | 629 2.3× | 776 2.9× | 241 1.3× | 69 0.5× | 34 | 1.8k | ||
| Shufeng Sun China | 18 | 46 0.2× | 475 1.8× | 67 0.3× | 20 0.1× | 132 1.0× | 48 | 1.1k | ||
| Deepa Subramanian United States | 24 | 35 0.1× | 1.3k 4.8× | 97 0.4× | 365 1.9× | 146 1.1× | 47 | 2.1k | ||
| Elisabetta Galbiati Italy | 17 | 179 0.6× | 336 1.2× | 153 0.6× | 78 0.4× | 114 0.8× | 43 | 801 | ||
| Marina J. Gorbunoff United States | 18 | 101 0.3× | 779 2.9× | 207 0.8× | 116 0.6× | 197 1.5× | 30 | 1.4k | ||
| Xinjie Lu United Kingdom | 24 | 37 0.1× | 613 2.3× | 51 0.2× | 227 1.2× | 31 0.2× | 62 | 1.6k | ||
| Boris Tenchov Bulgaria | 21 | 214 0.7× | 1.0k 3.8× | 109 0.4× | 19 0.1× | 317 2.3× | 47 | 1.4k | ||
| Sampathkumar Krishnan United States | 17 | 81 0.3× | 2.0k 7.6× | 282 1.1× | 59 0.3× | 65 0.5× | 18 | 2.5k | ||
| Taehee Kang South Korea | 22 | 80 0.3× | 652 2.4× | 362 1.4× | 66 0.3× | 94 0.7× | 65 | 1.5k | ||
| Leon W. Cunningham United States | 33 | 285 1.0× | 1.4k 5.2× | 78 0.3× | 182 1.0× | 268 2.0× | 76 | 2.6k |
Countries citing papers authored by Neha Aggarwal
This map shows the geographic impact of Neha Aggarwal'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 Neha Aggarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neha Aggarwal more than expected).
Fields of papers citing papers by Neha Aggarwal
This network shows the impact of papers produced by Neha Aggarwal. 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 Neha Aggarwal. The network helps show where Neha Aggarwal may publish in the future.
Co-authorship network of co-authors of Neha Aggarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Neha Aggarwal. A scholar is included among the top collaborators of Neha Aggarwal 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 Neha Aggarwal. Neha Aggarwal 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.