This map shows the geographic impact of Tamás Rapcsák'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 Tamás Rapcsák with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamás Rapcsák more than expected).
This network shows the impact of papers produced by Tamás Rapcsák. 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 Tamás Rapcsák. The network helps show where Tamás Rapcsák may publish in the future.
Co-authorship network of co-authors of Tamás Rapcsák
This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Rapcsák.
A scholar is included among the top collaborators of Tamás Rapcsák 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 Tamás Rapcsák. Tamás Rapcsák is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bergsma, Wicher & Tamás Rapcsák. (2005). An exact penalty method for smooth equality constrained optimization with application to maximum likelihood estimation. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 2005001.5 indexed citations
5.
Rapcsák, Tamás. (2005). Local Convexity on Smooth Manifolds. Journal of Optimization Theory and Applications. 127(1). 165–176.7 indexed citations
6.
Rapcsák, Tamás, et al.. (2004). Integrability of pseudomonotone differentiable maps and the revealed preference problem. SZTAKI Publication Repository (Hungarian Academy of Sciences).7 indexed citations
7.
Gass, Saul I. & Tamás Rapcsák. (2003). Singular value decomposition in AHP. European Journal of Operational Research. 154(3). 573–584.118 indexed citations
Mastroeni, Giandomenico & Tamás Rapcsák. (2000). On Convex Generalized Systems. Journal of Optimization Theory and Applications. 104(3). 605–627.19 indexed citations
Rapcsák, Tamás. (1997). Smooth nonlinear optimization in Rn.. (Nonconvex optimization and its applications, 19.). SZTAKI Publication Repository (Hungarian Academy of Sciences).9 indexed citations
Mészáros, Csaba, et al.. (1995). Distribution of gas cylinders. European Journal of Operational Research. 87(3). 613–623.10 indexed citations
14.
Komlósi, Sándor, Tamás Rapcsák, & Siegfried Schaible. (1994). Generalized convexity : proceedings of the 4th International Workshop on Generalized Convexity, held at Janus Pannonius University, Pécs, Hungary, August 31-September 2, 1992. Springer eBooks.2 indexed citations
15.
Rapcsák, Tamás, et al.. (1993). Research and development for group decision aid in Hungary by WINGDSS, a Microsoft Windows based group decision support system. (Working paper of the Laboratory of Operations Research and Decision Systems (LORDS) WP 93-9.). SZTAKI Publication Repository (Hungarian Academy of Sciences).1 indexed citations
16.
Rapcsák, Tamás, et al.. (1992). WINGDSS version 2.0. A Microsoft Windows based group decision support system. (Working paper of the Laboratory of Operations Research and Decision Systems (LORDS) WP 92-14). SZTAKI Publication Repository (Hungarian Academy of Sciences).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.