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.
The Past, Present and Future of the ELKH Cloud
202269 citationsRóbert Lovas, Péter Kacsuk et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Róbert Lovas'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 Róbert Lovas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Róbert Lovas more than expected).
This network shows the impact of papers produced by Róbert Lovas. 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 Róbert Lovas. The network helps show where Róbert Lovas may publish in the future.
Co-authorship network of co-authors of Róbert Lovas
This figure shows the co-authorship network connecting the top 25 collaborators of Róbert Lovas.
A scholar is included among the top collaborators of Róbert Lovas 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 Róbert Lovas. Róbert Lovas is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lovas, Róbert, et al.. (2018). Agrodat: A Knowledge Centre and Decision Support System for Precision Farming Based on IoT and Big Data Technologies.. SZTAKI Publication Repository (Hungarian Academy of Sciences). 2018.4 indexed citations
13.
Lovas, Róbert, et al.. (2017). WRF Benchmark Measurements and Cost Comparison. Virtualized Environment Versus Physical Hardware. SZTAKI Publication Repository (Hungarian Academy of Sciences).2 indexed citations
14.
Lovas, Róbert, et al.. (2010). Expanding scientific computational infrastructures with desktop grids. SZTAKI Publication Repository (Hungarian Academy of Sciences).1 indexed citations
15.
Lovas, Róbert, et al.. (2006). ADMEToxGRID: first experiences with an enterprise Grid for drug discovery. SZTAKI Publication Repository (Hungarian Academy of Sciences).1 indexed citations
16.
Lovas, Róbert, et al.. (2003). Migration and monitoring of P-GRADE parallel jobs in the Grid. SZTAKI Publication Repository (Hungarian Academy of Sciences).1 indexed citations
17.
Dózsa, Gábor, et al.. (2003). Constructing and executing Grid workflow applications by Grid portal technology. SZTAKI Publication Repository (Hungarian Academy of Sciences).1 indexed citations
18.
Kacsuk, Péter, Gábor Dózsa, & Róbert Lovas. (2001). The GRADE graphical parallel programming environment. SZTAKI Publication Repository (Hungarian Academy of Sciences). 231–247.8 indexed citations
19.
Kacsuk, Péter, et al.. (1998). GRADE : A graphical programming environment for multicomputers. SZTAKI Publication Repository (Hungarian Academy of Sciences). 17(5). 417–427.4 indexed 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.