Martin van Eijk
About
In The Last Decade
Martin van Eijk
56 papers receiving 2.7k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Martin van Eijk Netherlands | 28 | 1.2k | 640 | 575 | 457 | 291 | 58 | 2.7k | ||
| Matthias Amrein Canada | 29 | 551 0.5× | 663 1.0× | 797 1.4× | 293 0.6× | 98 0.3× | 53 | 2.7k | ||
| Ryuichi Nakano Japan | 33 | 201 0.2× | 646 1.0× | 1.2k 2.1× | 335 0.7× | 282 1.0× | 155 | 3.7k | ||
| Thomas S. Wilkinson United Kingdom | 30 | 582 0.5× | 1.1k 1.8× | 773 1.3× | 536 1.2× | 136 0.5× | 59 | 3.1k | ||
| Rob J. Vandebriel Netherlands | 35 | 245 0.2× | 802 1.3× | 559 1.0× | 321 0.7× | 1.4k 4.9× | 123 | 4.4k | ||
| Kenichiro Shibata Japan | 31 | 248 0.2× | 1.7k 2.7× | 857 1.5× | 628 1.4× | 387 1.3× | 137 | 3.6k | ||
| Pinar Avci United States | 24 | 957 0.8× | 149 0.2× | 647 1.1× | 146 0.3× | 680 2.3× | 38 | 3.7k | ||
| Daniel R. Neill United Kingdom | 26 | 295 0.3× | 2.6k 4.1× | 638 1.1× | 633 1.4× | 77 0.3× | 50 | 4.4k | ||
| Fabian Blank Switzerland | 31 | 954 0.8× | 552 0.9× | 685 1.2× | 162 0.4× | 907 3.1× | 75 | 3.7k | ||
| Julio César Carrero Mexico | 24 | 114 0.1× | 356 0.6× | 423 0.7× | 215 0.5× | 262 0.9× | 88 | 2.2k | ||
| Yuhuan Wang China | 40 | 222 0.2× | 367 0.6× | 1.5k 2.6× | 406 0.9× | 261 0.9× | 219 | 4.7k |
Countries citing papers authored by Martin van Eijk
This map shows the geographic impact of Martin van Eijk'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 Martin van Eijk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin van Eijk more than expected).
Fields of papers citing papers by Martin van Eijk
This network shows the impact of papers produced by Martin van Eijk. 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 Martin van Eijk. The network helps show where Martin van Eijk may publish in the future.
Co-authorship network of co-authors of Martin van Eijk
This figure shows the co-authorship network connecting the top 25 collaborators of Martin van Eijk. A scholar is included among the top collaborators of Martin van Eijk 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 Martin van Eijk. Martin van Eijk 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.