Pasquale Picone
About
In The Last Decade
Pasquale Picone
86 papers receiving 2.9k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Pasquale Picone Italy | 35 | 1.0k | 856 | 466 | 281 | 276 | 87 | 2.9k | ||
| Marta Di Carlo Italy | 38 | 1.5k 1.5× | 1.1k 1.3× | 450 1.0× | 364 1.3× | 372 1.3× | 107 | 3.7k | ||
| Md. Habibur Rahman Bangladesh | 37 | 1.1k 1.1× | 455 0.5× | 382 0.8× | 185 0.7× | 375 1.4× | 128 | 3.7k | ||
| Dae Youn Hwang South Korea | 33 | 1.2k 1.2× | 686 0.8× | 412 0.9× | 187 0.7× | 301 1.1× | 274 | 4.0k | ||
| Dharmendra Kumar Khatri India | 31 | 1.1k 1.1× | 304 0.4× | 302 0.6× | 248 0.9× | 126 0.5× | 133 | 2.6k | ||
| Saurabh Bhatia India | 32 | 881 0.9× | 307 0.4× | 747 1.6× | 148 0.5× | 268 1.0× | 165 | 3.7k | ||
| Faheem Hyder Pottoo Saudi Arabia | 31 | 754 0.7× | 277 0.3× | 330 0.7× | 159 0.6× | 239 0.9× | 122 | 2.5k | ||
| Joseph A. Nicolazzo Australia | 28 | 779 0.8× | 458 0.5× | 231 0.5× | 322 1.1× | 200 0.7× | 115 | 2.9k | ||
| Rajat Sandhir India | 46 | 2.0k 1.9× | 1.1k 1.3× | 217 0.5× | 641 2.3× | 474 1.7× | 187 | 6.4k | ||
| Miren Ettcheto Spain | 34 | 1.1k 1.1× | 1.1k 1.3× | 683 1.5× | 389 1.4× | 590 2.1× | 90 | 4.5k | ||
| Vo Van Giau South Korea | 30 | 1.1k 1.1× | 986 1.2× | 148 0.3× | 377 1.3× | 299 1.1× | 103 | 2.8k |
Countries citing papers authored by Pasquale Picone
This map shows the geographic impact of Pasquale Picone'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 Pasquale Picone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pasquale Picone more than expected).
Fields of papers citing papers by Pasquale Picone
This network shows the impact of papers produced by Pasquale Picone. 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 Pasquale Picone. The network helps show where Pasquale Picone may publish in the future.
Co-authorship network of co-authors of Pasquale Picone
This figure shows the co-authorship network connecting the top 25 collaborators of Pasquale Picone. A scholar is included among the top collaborators of Pasquale Picone 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 Pasquale Picone. Pasquale Picone 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.