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 Ю.П. Лукашин'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 Ю.П. Лукашин with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ю.П. Лукашин more than expected).
This network shows the impact of papers produced by Ю.П. Лукашин. 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 Ю.П. Лукашин. The network helps show where Ю.П. Лукашин may publish in the future.
Ю.П. Лукашин is a scholar working on General Economics, Econometrics and Finance, Political Science and International Relations and Infectious Diseases, having authored 2 papers that have together received 817 indexed citations. Recurring topics across this work include Regional Development and Policy (1 paper) and Economic Development and Digital Transformation (1 paper). The work is most often cited by research in Economics and Econometrics (475 citations), General Economics, Econometrics and Finance (123 citations) and Development (49 citations).
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.