Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average within
it), or reaches the top citation threshold in at least one of its specific research topics.
This map shows the geographic impact of Fred Truck'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 Fred Truck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Truck more than expected).
This network shows the impact of papers produced by Fred Truck. 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 Fred Truck. The network helps show where Fred Truck may publish in the future.
Co-authorship network
The 2 scholars most cited alongside Fred Truck, linked wherever they have
co-authored with each other. Click a name or a connecting line to browse the papers they
share.
Border = papers with Fred TruckLine = papers co-authored togetherFred Truck links everyone, so they are left out of the graph.
Fred Truck is a scholar working on Astronomy and Astrophysics, Computer Networks and Communications and Infectious Diseases, having authored 4 papers that have together received 538 indexed citations. Recurring topics across this work include Space Science and Extraterrestrial Life (1 paper), Peer-to-Peer Network Technologies (1 paper) and Caching and Content Delivery (1 paper). The work is most often cited by research in History and Philosophy of Science (37 citations), Cognitive Neuroscience (159 citations) and Health Informatics (9 citations). Fred Truck has collaborated with scholars based in United States. Frequent co-authors include Hans Moravec and Howard Rheingold. Their work appears in journals such as Leonardo.
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.