Balázs Rácz

1.4k total citations
12 papers, 840 citations indexed

About

Balázs Rácz is a scholar working on Information Systems, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Balázs Rácz has authored 12 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 5 papers in Statistical and Nonlinear Physics and 4 papers in Computer Networks and Communications. Recurrent topics in Balázs Rácz's work include Complex Network Analysis Techniques (5 papers), Web Data Mining and Analysis (3 papers) and Data Mining Algorithms and Applications (3 papers). Balázs Rácz is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Web Data Mining and Analysis (3 papers) and Data Mining Algorithms and Applications (3 papers). Balázs Rácz collaborates with scholars based in Hungary, United States and Italy. Balázs Rácz's co-authors include Dániel Fogaras, András Lukács, Albert-Ĺaszló Barabási, Alexei Vázquez, Károly Csalogány, Tamás Sarlós, Zoltán Dezső, Eivind Almaas, Ferenc Bodon and Lars Schmidt-Thieme and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Knowledge and Data Engineering and Theoretical Computer Science.

In The Last Decade

Balázs Rácz

11 papers receiving 785 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Balázs Rácz Hungary	8	529	290	200	162	150	12	840
Fragkiskos D. Malliaros France	14	597 1.1×	400 1.4×	127 0.6×	183 1.1×	128 0.9×	40	977
Jon Kleinberg United States	7	659 1.2×	240 0.8×	107 0.5×	134 0.8×	104 0.7×	13	1.0k
Flavio Chierichetti United States	17	419 0.8×	449 1.5×	193 1.0×	395 2.4×	307 2.0×	55	1.1k
Karthik Subbian United States	16	439 0.8×	434 1.5×	248 1.2×	153 0.9×	116 0.8×	43	870
Jierui Xie United States	8	1.3k 2.4×	553 1.9×	187 0.9×	397 2.5×	160 1.1×	14	1.6k
Youze Tang Singapore	5	898 1.7×	282 1.0×	243 1.2×	282 1.7×	105 0.7×	5	1.1k
Nicola Barbieri Spain	12	576 1.1×	293 1.0×	273 1.4×	154 1.0×	63 0.4×	29	823
Masashi Toyoda Japan	16	194 0.4×	318 1.1×	344 1.7×	130 0.8×	174 1.2×	101	826
Marco Rosa Italy	5	336 0.6×	289 1.0×	144 0.7×	222 1.4×	314 2.1×	6	745
Minas Gjoka United States	15	648 1.2×	388 1.3×	244 1.2×	535 3.3×	96 0.6×	28	1.2k

Countries citing papers authored by Balázs Rácz

Since Specialization

Citations

This map shows the geographic impact of Balázs Rácz'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 Balázs Rácz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Balázs Rácz more than expected).

Fields of papers citing papers by Balázs Rácz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Balázs Rácz. 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 Balázs Rácz. The network helps show where Balázs Rácz may publish in the future.

Co-authorship network of co-authors of Balázs Rácz

This figure shows the co-authorship network connecting the top 25 collaborators of Balázs Rácz. A scholar is included among the top collaborators of Balázs Rácz 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 Balázs Rácz. Balázs Rácz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Buchsbaum, Adam L., Raffaele Giancarlo, & Balázs Rácz. (2008). New results for finding common neighborhoods in massive graphs in the data stream model. Theoretical Computer Science. 407(1-3). 302–309. 2 indexed citations

2.

Fogaras, Dániel & Balázs Rácz. (2007). Practical Algorithms and Lower Bounds for Similarity Search in Massive Graphs. IEEE Transactions on Knowledge and Data Engineering. 19(5). 585–598. 7 indexed citations

3.

Vázquez, Alexei, Balázs Rácz, András Lukács, & Albert-Ĺaszló Barabási. (2007). Impact of Non-Poissonian Activity Patterns on Spreading Processes. Physical Review Letters. 98(15). 158702–158702. 233 indexed citations

4.

Benczúr, András A., István Bíró, Károly Csalogány, Balázs Rácz, & Tamás Sarlós. (2006). PageRank és azon túl: Hiperhivatkozások szerepe a keresésben. SZTAKI Publication Repository (Hungarian Academy of Sciences). 1 indexed citations

5.

Dezső, Zoltán, et al.. (2006). Dynamics of information access on the web. Physical Review E. 73(6). 66132–66132. 178 indexed citations

6.

Sarlós, Tamás, et al.. (2006). To randomize or not to randomize. 297–306. 36 indexed citations

7.

Dezső, Zoltán, et al.. (2005). The Dynamics of Information Access in the Online Media. Bulletin of the American Physical Society. 1 indexed citations

8.

Rácz, Balázs, Ferenc Bodon, & Lars Schmidt-Thieme. (2005). On benchmarking frequent itemset mining algorithms. 36–45. 11 indexed citations

9.

Fogaras, Dániel, Balázs Rácz, Károly Csalogány, & Tamás Sarlós. (2005). Towards Scaling Fully Personalized PageRank: Algorithms, Lower Bounds, and Experiments. Internet Mathematics. 2(3). 333–358. 186 indexed citations

10.

Fogaras, Dániel & Balázs Rácz. (2005). Scaling link-based similarity search. 641–641. 131 indexed citations

11.

Rácz, Balázs. (2004). nonordfp: an FP-growth variation without rebuilding the FP-tree. SZTAKI Publication Repository (Hungarian Academy of Sciences). 39 indexed citations

12.

Rácz, Balázs & András Lukács. (2004). High density compression of log files. 15 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.

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