Sushil Ahlawat
About
In The Last Decade
Sushil Ahlawat
71 papers receiving 538 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Sushil Ahlawat United States | 11 | 240 | 191 | 149 | 146 | 85 | 84 | 551 | ||
| Choong Won Lee South Korea | 12 | 102 0.4× | 234 1.2× | 118 0.8× | 146 1.0× | 58 0.7× | 25 | 673 | ||
| Fukiko Komaki Japan | 15 | 227 0.9× | 129 0.7× | 123 0.8× | 325 2.2× | 204 2.4× | 33 | 777 | ||
| Mehmet İbi̇ş Türkiye | 14 | 262 1.1× | 104 0.5× | 163 1.1× | 151 1.0× | 43 0.5× | 41 | 556 | ||
| Bernd Kaskas Germany | 7 | 346 1.4× | 219 1.1× | 311 2.1× | 96 0.7× | 63 0.7× | 8 | 882 | ||
| Ujjwal Gorsi India | 16 | 377 1.6× | 228 1.2× | 148 1.0× | 105 0.7× | 20 0.2× | 95 | 736 | ||
| Emin Altıparmak Türkiye | 12 | 314 1.3× | 144 0.8× | 173 1.2× | 177 1.2× | 30 0.4× | 42 | 633 | ||
| Fernando Castro United States | 14 | 203 0.8× | 239 1.3× | 268 1.8× | 270 1.8× | 15 0.2× | 55 | 671 | ||
| Gabriele Spoletini Italy | 13 | 203 0.8× | 128 0.7× | 236 1.6× | 111 0.8× | 74 0.9× | 48 | 541 | ||
| Yehyun Park South Korea | 16 | 227 0.9× | 223 1.2× | 106 0.7× | 329 2.3× | 24 0.3× | 62 | 862 | ||
| Annalisa Aratari Italy | 16 | 279 1.2× | 55 0.3× | 88 0.6× | 465 3.2× | 55 0.6× | 42 | 742 |
Countries citing papers authored by Sushil Ahlawat
This map shows the geographic impact of Sushil Ahlawat'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 Sushil Ahlawat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushil Ahlawat more than expected).
Fields of papers citing papers by Sushil Ahlawat
This network shows the impact of papers produced by Sushil Ahlawat. 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 Sushil Ahlawat. The network helps show where Sushil Ahlawat may publish in the future.
Co-authorship network of co-authors of Sushil Ahlawat
This figure shows the co-authorship network connecting the top 25 collaborators of Sushil Ahlawat. A scholar is included among the top collaborators of Sushil Ahlawat 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 Sushil Ahlawat. Sushil Ahlawat 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.