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 Róbert Kozma'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 Kozma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Róbert Kozma more than expected).
This network shows the impact of papers produced by Róbert Kozma. 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 Kozma. The network helps show where Róbert Kozma may publish in the future.
Co-authorship network of co-authors of Róbert Kozma
This figure shows the co-authorship network connecting the top 25 collaborators of Róbert Kozma.
A scholar is included among the top collaborators of Róbert Kozma 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 Kozma. Róbert Kozma is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Janson, Svante, Róbert Kozma, Miklós Ruszinkó, & Yury Sokolov. (2015). Activation process on a long-range percolation graph with power law long edge distribution. Part I: phase transition without inhibition. arXiv (Cornell University).1 indexed citations
6.
Puljic, Marko & Róbert Kozma. (2010). Broad-band Oscillations by Probabilistic Cellular Automata.. 5. 491–507.6 indexed citations
7.
Bollobás, Béla, et al.. (2009). Handbook of Large-Scale Random Networks: Bolyai Society Mathematical Studies. Springer eBooks.7 indexed citations
Harter, Derek & Róbert Kozma. (2004). Aperiodic Dynamics and the Self-Organization of Cognitive Maps in Autonomous Agents.. The Florida AI Research Society. 424–429.3 indexed citations
13.
Kozma, Róbert & Joke Voogt. (2003). Technology, innovation, and educational change : a global perspective : a report of the Second Information Technology in Education Study, Module 2.146 indexed citations
14.
Schänk, Patricia & Róbert Kozma. (2002). Learning Chemistry Through the Use of a Representation-Based Knowledge Building Environment. Journal of Computers in Mathematics and Science Teaching. 21(3). 253–279.74 indexed citations
15.
Harter, Derek, Róbert Kozma, & Arthur C. Graesser. (2001). Models of Ontogenetic Development for Autonomous Adaptive Systems. eScholarship (California Digital Library). 23(23).5 indexed citations
16.
Kasabov, Nikola, Róbert Kozma, & Janusz Kacprzyk. (1999). Neuro-Fuzzy Techniques for Intelligent Information Systems. Physica-Verlag eBooks.33 indexed citations
17.
Kasabov, Nikola, et al.. (1998). Effects of orientation and spatial frequency on monocular and binocular rivalry. ePublications@SCU (Southern Cross University). 67–70.12 indexed citations
18.
Kitamura, M., et al.. (1994). Robust diagnosis of nuclear plant anomalies through multiple neuro-agent cooperation. Transactions of the American Nuclear Society. 70.1 indexed citations
19.
Kozma, Róbert. (1992). Nuclear Reactor Noise Investigations on Boiling Effects in a Simulated MTR-type Fuel Assembly. Research Repository (Delft University of Technology).1 indexed citations
20.
Kozma, Róbert. (1987). The Implications of Cognitive Psychology for Computer-Based Learning Tools. Educational Technology archive. 27(11). 20–25.87 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.