Vahid Naini
About
In The Last Decade
Vahid Naini
20 papers receiving 1.2k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Vahid Naini United States | 8 | 1.1k | 417 | 357 | 244 | 191 | 21 | 1.2k | ||
| Álvaro Juárez Soto Spain | 8 | 1.1k 1.0× | 379 0.9× | 345 1.0× | 222 0.9× | 201 1.1× | 44 | 1.2k | ||
| Sharon McCarthy United States | 8 | 962 0.9× | 341 0.8× | 326 0.9× | 217 0.9× | 175 0.9× | 28 | 1.1k | ||
| Andrea Juliana Gomes United States | 8 | 1.4k 1.3× | 496 1.2× | 450 1.3× | 336 1.4× | 245 1.3× | 24 | 1.5k | ||
| Kris Deprince United States | 7 | 948 0.9× | 333 0.8× | 312 0.9× | 252 1.0× | 167 0.9× | 15 | 1.2k | ||
| Iris Kuss Germany | 12 | 1.1k 1.0× | 400 1.0× | 400 1.1× | 251 1.0× | 224 1.2× | 40 | 1.3k | ||
| Per Rathenborg Denmark | 11 | 923 0.9× | 308 0.7× | 325 0.9× | 309 1.3× | 182 1.0× | 18 | 1.1k | ||
| Albertas Ulys Lithuania | 16 | 1.1k 1.0× | 337 0.8× | 459 1.3× | 323 1.3× | 235 1.2× | 64 | 1.4k | ||
| Youyi Shu United States | 9 | 827 0.8× | 263 0.6× | 290 0.8× | 176 0.7× | 146 0.8× | 14 | 1.0k | ||
| Murilo Luz Brazil | 7 | 952 0.9× | 303 0.7× | 324 0.9× | 199 0.8× | 175 0.9× | 34 | 1.1k | ||
| Maria De Santis Austria | 9 | 1.2k 1.2× | 474 1.1× | 253 0.7× | 288 1.2× | 109 0.6× | 25 | 1.4k |
Countries citing papers authored by Vahid Naini
This map shows the geographic impact of Vahid Naini'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 Vahid Naini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vahid Naini more than expected).
Fields of papers citing papers by Vahid Naini
This network shows the impact of papers produced by Vahid Naini. 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 Vahid Naini. The network helps show where Vahid Naini may publish in the future.
Co-authorship network of co-authors of Vahid Naini
This figure shows the co-authorship network connecting the top 25 collaborators of Vahid Naini. A scholar is included among the top collaborators of Vahid Naini 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 Vahid Naini. Vahid Naini 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.