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.
Modern Trends in the Theory of Condensed Matter
1980738 citationsAndrzej Pękalski, J. Przystawaprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Andrzej Pękalski
Since
Specialization
Citations
This map shows the geographic impact of Andrzej Pękalski'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 Andrzej Pękalski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrzej Pękalski more than expected).
Fields of papers citing papers by Andrzej Pękalski
This network shows the impact of papers produced by Andrzej Pękalski. 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 Andrzej Pękalski. The network helps show where Andrzej Pękalski may publish in the future.
Co-authorship network of co-authors of Andrzej Pękalski
This figure shows the co-authorship network connecting the top 25 collaborators of Andrzej Pękalski.
A scholar is included among the top collaborators of Andrzej Pękalski 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 Andrzej Pękalski. Andrzej Pękalski is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Droz, Michel & Andrzej Pękalski. (2019). Simple model of opinion formation with bias. Physica A Statistical Mechanics and its Applications. 525. 724–731.1 indexed citations
8.
Chamberlain, G. A., Elaine S. Oran, & Andrzej Pękalski. (2019). Detonations in industrial vapour cloud explosions. Journal of Loss Prevention in the Process Industries. 62. 103918–103918.32 indexed citations
9.
Pękalski, Andrzej. (2004). Theoretical and experimental study on explosion safety of hydrocarbons oxidation at elevated conditions: Relevance for safe design and operation of industrial processes. Research Repository (Delft University of Technology).7 indexed citations
Pękalski, Andrzej. (2001). Ising model on a small world network. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(5). 57104–57104.63 indexed citations
14.
Pękalski, Andrzej & Katarzyna Sznajd-Weron. (1999). Anomalous diffusion : from basics to applications : proceedings of the XIth Max Born Symposium held at Ladek Zdrój, Poland, 20-27 May 1998. Springer eBooks.4 indexed citations
Michel, Louis, et al.. (1985). Spontaneous symmetry breakdown and related subjects : XXI Winter School of Theoretical Physics, 18 February-2 March 1985, Karpacz, Poland : [proceedings]. WORLD SCIENTIFIC eBooks.1 indexed citations
Pękalski, Andrzej & J. Przystawa. (1980). Modern trends in the theory of condensed matter : proceedings of the XVI Karpacz Winter School of Theoretical Physics, February 19-March 3, 1979, Karpacz, Poland. Springer eBooks.17 indexed citations
Pękalski, Andrzej, et al.. (1976). Magnetism in metals and metallic compounds : [proceedings of the lectures delivered during the eleventh Winter School of Theoretical Physics, held at Karpacz, Poland, February 19-March 4, 1974]. Plenum Press eBooks.9 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.