Matteo Caser
About
In The Last Decade
Matteo Caser
66 papers receiving 1.0k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Matteo Caser Italy | 18 | 681 | 279 | 252 | 226 | 132 | 71 | 1.1k | ||
| Sonia Demasi Italy | 15 | 453 0.7× | 152 0.5× | 193 0.8× | 203 0.9× | 128 1.0× | 41 | 741 | ||
| Rakesh Kumar India | 21 | 870 1.3× | 386 1.4× | 460 1.8× | 127 0.6× | 97 0.7× | 119 | 1.4k | ||
| Qiaosheng Guo China | 22 | 714 1.0× | 648 2.3× | 169 0.7× | 176 0.8× | 35 0.3× | 176 | 1.3k | ||
| Said Ennahli Morocco | 19 | 693 1.0× | 122 0.4× | 270 1.1× | 110 0.5× | 44 0.3× | 47 | 929 | ||
| F. Branca Italy | 21 | 941 1.4× | 520 1.9× | 176 0.7× | 314 1.4× | 31 0.2× | 137 | 1.4k | ||
| Sofia Caretto Italy | 22 | 752 1.1× | 624 2.2× | 184 0.7× | 262 1.2× | 26 0.2× | 42 | 1.4k | ||
| L. V. Venkataraman India | 23 | 565 0.8× | 540 1.9× | 296 1.2× | 114 0.5× | 154 1.2× | 76 | 1.6k | ||
| Fatemeh Zarinkamar Iran | 16 | 502 0.7× | 206 0.7× | 87 0.3× | 47 0.2× | 64 0.5× | 49 | 700 | ||
| Badraldin Ebrahim Sayed Tabatabaei Iran | 17 | 833 1.2× | 385 1.4× | 381 1.5× | 200 0.9× | 22 0.2× | 37 | 1.2k | ||
| Marı́a A. Ferrer Spain | 25 | 1.6k 2.4× | 736 2.6× | 124 0.5× | 154 0.7× | 24 0.2× | 67 | 2.0k |
Countries citing papers authored by Matteo Caser
This map shows the geographic impact of Matteo Caser'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 Matteo Caser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Caser more than expected).
Fields of papers citing papers by Matteo Caser
This network shows the impact of papers produced by Matteo Caser. 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 Matteo Caser. The network helps show where Matteo Caser may publish in the future.
Co-authorship network of co-authors of Matteo Caser
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Caser. A scholar is included among the top collaborators of Matteo Caser 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 Matteo Caser. Matteo Caser 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.