Tamás Pajkossy
About
In The Last Decade
Tamás Pajkossy
76 papers receiving 4.6k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tamás Pajkossy Hungary | 34 | 2.2k | 1.9k | 1.5k | 884 | 694 | 77 | 4.7k | ||
| E. Gileadi Israel | 45 | 2.8k 1.3× | 4.1k 2.1× | 1.8k 1.2× | 708 0.8× | 1.8k 2.6× | 194 | 6.9k | ||
| M. Sluyters‐Rehbach Netherlands | 32 | 3.1k 1.4× | 2.9k 1.5× | 2.6k 1.7× | 714 0.8× | 838 1.2× | 163 | 6.5k | ||
| J.H. Sluyters Netherlands | 35 | 3.7k 1.6× | 3.2k 1.6× | 2.9k 1.9× | 840 1.0× | 948 1.4× | 197 | 7.6k | ||
| David A. Harrington Canada | 34 | 1.4k 0.6× | 2.7k 1.4× | 1.3k 0.9× | 309 0.3× | 2.4k 3.5× | 111 | 4.4k | ||
| M.W. Bréiter United States | 35 | 1.9k 0.8× | 2.0k 1.0× | 1.5k 1.0× | 450 0.5× | 1.5k 2.1× | 188 | 4.0k | ||
| R.D. Armstrong United Kingdom | 29 | 981 0.4× | 2.0k 1.0× | 1.8k 1.2× | 819 0.9× | 295 0.4× | 87 | 4.2k | ||
| W. Plieth Germany | 30 | 1.0k 0.5× | 1.6k 0.8× | 1.2k 0.8× | 819 0.9× | 505 0.7× | 130 | 3.2k | ||
| Rama Kant India | 34 | 1.3k 0.6× | 1.1k 0.5× | 579 0.4× | 1.2k 1.4× | 261 0.4× | 112 | 2.9k | ||
| Şefik Süzer Türkiye | 36 | 300 0.1× | 1.6k 0.8× | 1.6k 1.1× | 748 0.8× | 486 0.7× | 182 | 4.5k | ||
| Guang Feng China | 49 | 1.4k 0.6× | 4.5k 2.3× | 2.1k 1.4× | 1.4k 1.6× | 1.5k 2.1× | 172 | 8.3k |
Countries citing papers authored by Tamás Pajkossy
This map shows the geographic impact of Tamás Pajkossy'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 Tamás Pajkossy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamás Pajkossy more than expected).
Fields of papers citing papers by Tamás Pajkossy
This network shows the impact of papers produced by Tamás Pajkossy. 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 Tamás Pajkossy. The network helps show where Tamás Pajkossy may publish in the future.
Co-authorship network of co-authors of Tamás Pajkossy
This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Pajkossy. A scholar is included among the top collaborators of Tamás Pajkossy 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 Tamás Pajkossy. Tamás Pajkossy 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.