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.
Evolutionarily singular strategies and the adaptive growth and branching of the evolutionary tree
19981.3k citationsÉva Kisdi, Géza Meszéna et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Géza Meszéna'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 Géza Meszéna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Géza Meszéna more than expected).
This network shows the impact of papers produced by Géza Meszéna. 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 Géza Meszéna. The network helps show where Géza Meszéna may publish in the future.
Co-authorship network of co-authors of Géza Meszéna
This figure shows the co-authorship network connecting the top 25 collaborators of Géza Meszéna.
A scholar is included among the top collaborators of Géza Meszéna 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 Géza Meszéna. Géza Meszéna is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Barabás, György, Simone Pigolotti, Mats Gyllenberg, Ulf Dieckmann, & Géza Meszéna. (2012). Continuous coexistence or discrete species? A new review of an old question. Evolutionary ecology research. 14(5). 523–554.26 indexed citations
Parvinen, Kalle & Géza Meszéna. (2009). Disturbance-generated niche-segregation in a structured metapopulation model. Evolutionary ecology research. 11(4). 651–666.10 indexed citations
Várkonyi, Péter L., Géza Meszéna, & G. Domokos. (2006). Emergence of asymmetry in evolution. Theoretical Population Biology. 70(1). 63–75.4 indexed citations
12.
Mágori, Krisztián, et al.. (2005). Adaptive dynamics on a lattice: role of spatiality in competition, co-existence and evolutionary branching. Evolutionary ecology research. 7(1). 1–21.41 indexed citations
Meszéna, Géza, et al.. (2003). Spatial niche packing, character displacement and adaptive speciation along an environmental gradient. Evolutionary ecology research. 5(3). 363–382.46 indexed citations
16.
Mágori, Krisztián, Beáta Oborny, Ulf Dieckmann, & Géza Meszéna. (2003). Cooperation and competition in heterogeneous environments: The evolution of resource sharing in clonal plants. Evolutionary ecology research. 5(6). 787–817.25 indexed citations
17.
Vukics, András, János K. Asbóth, & Géza Meszéna. (2003). Speciation in multidimensional evolutionary space. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(4). 41903–41903.30 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.