Travis Tokar
About
In The Last Decade
Travis Tokar
19 papers receiving 996 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Travis Tokar United States | 14 | 647 | 640 | 184 | 110 | 97 | 19 | 1.0k | ||
| Ednilson Bernardes United States | 13 | 671 1.0× | 529 0.8× | 124 0.7× | 122 1.1× | 88 0.9× | 23 | 1.0k | ||
| Xin Zhai China | 15 | 562 0.9× | 538 0.8× | 217 1.2× | 136 1.2× | 99 1.0× | 29 | 922 | ||
| Nurul Fadly Habidin Malaysia | 18 | 705 1.1× | 533 0.8× | 317 1.7× | 124 1.1× | 74 0.8× | 117 | 1.1k | ||
| Maike Scherrer Switzerland | 14 | 797 1.2× | 634 1.0× | 208 1.1× | 166 1.5× | 113 1.2× | 37 | 1.1k | ||
| Heather Skipworth United Kingdom | 18 | 689 1.1× | 531 0.8× | 161 0.9× | 63 0.6× | 117 1.2× | 24 | 1.0k | ||
| Kefeng Xu United States | 18 | 716 1.1× | 842 1.3× | 176 1.0× | 151 1.4× | 182 1.9× | 32 | 1.2k | ||
| Jussi Heikkilä Finland | 14 | 644 1.0× | 731 1.1× | 96 0.5× | 131 1.2× | 93 1.0× | 31 | 1.1k | ||
| Purushottam Meena India | 16 | 586 0.9× | 458 0.7× | 203 1.1× | 89 0.8× | 55 0.6× | 26 | 849 | ||
| Tage Skjøtt‐Larsen Denmark | 15 | 823 1.3× | 819 1.3× | 190 1.0× | 113 1.0× | 103 1.1× | 26 | 1.3k | ||
| Yinan Qi China | 16 | 1.0k 1.6× | 882 1.4× | 243 1.3× | 115 1.0× | 122 1.3× | 26 | 1.5k |
Countries citing papers authored by Travis Tokar
This map shows the geographic impact of Travis Tokar'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 Travis Tokar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis Tokar more than expected).
Fields of papers citing papers by Travis Tokar
This network shows the impact of papers produced by Travis Tokar. 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 Travis Tokar. The network helps show where Travis Tokar may publish in the future.
Co-authorship network of co-authors of Travis Tokar
This figure shows the co-authorship network connecting the top 25 collaborators of Travis Tokar. A scholar is included among the top collaborators of Travis Tokar 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 Travis Tokar. Travis Tokar 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.