Mirkó Visontai

905 total citations
16 papers, 504 citations indexed

About

Mirkó Visontai is a scholar working on Discrete Mathematics and Combinatorics, Algebra and Number Theory and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mirkó Visontai has authored 16 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Discrete Mathematics and Combinatorics, 5 papers in Algebra and Number Theory and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mirkó Visontai's work include Advanced Combinatorial Mathematics (9 papers), Advanced Mathematical Identities (5 papers) and Bayesian Methods and Mixture Models (2 papers). Mirkó Visontai is often cited by papers focused on Advanced Combinatorial Mathematics (9 papers), Advanced Mathematical Identities (5 papers) and Bayesian Methods and Mixture Models (2 papers). Mirkó Visontai collaborates with scholars based in United States, Sweden and Hungary. Mirkó Visontai's co-authors include Jianbo Shi, Hua Zhong, Carla D. Savage, J. Haglund, Yu‐Hsin Chen, Ignacio López Moreno, Tara N. Sainath, Carolina Parada, Raziel Álvarez and Dömötör Pálvölgyi and has published in prestigious journals such as Transactions of the American Mathematical Society, Journal of Combinatorial Theory Series A and Journal of Approximation Theory.

In The Last Decade

Mirkó Visontai

16 papers receiving 458 citations

Peers

Mirkó Visontai
Ann Dooms Belgium
Marko Boben Slovenia
M. Cohn United States
Matthew D. Mullin United States
Greg Aloupis Belgium
Ann Dooms Belgium
Mirkó Visontai
Citations per year, relative to Mirkó Visontai Mirkó Visontai (= 1×) peers Ann Dooms

Countries citing papers authored by Mirkó Visontai

Since Specialization
Citations

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

Fields of papers citing papers by Mirkó Visontai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirkó Visontai

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

All Works

16 of 16 papers shown
1.
Efros, Alexei A., Volkan Isler, Jianbo Shi, & Mirkó Visontai. (2018). Seeing Through Water. Figshare. 17. 393–400. 4 indexed citations
2.
Brändén, Petter, et al.. (2016). Multivariate Eulerian Polynomials and Exclusion Processes. Combinatorics Probability Computing. 25(4). 486–499. 3 indexed citations
3.
Chen, Yu‐Hsin, Ignacio López Moreno, Tara N. Sainath, et al.. (2015). Locally-connected and convolutional neural networks for small footprint speaker recognition. 1136–1140. 47 indexed citations
4.
Savage, Carla D. & Mirkó Visontai. (2014). The 𝐬-Eulerian polynomials have only real roots. Transactions of the American Mathematical Society. 367(2). 1441–1466. 36 indexed citations
5.
Visontai, Mirkó, et al.. (2014). Stable regions of Turán expressions. Journal of Approximation Theory. 192. 144–155. 2 indexed citations
6.
Visontai, Mirkó, et al.. (2013). Stable multivariate W -Eulerian polynomials. Journal of Combinatorial Theory Series A. 120(7). 1929–1945. 6 indexed citations
7.
Visontai, Mirkó. (2013). Some Remarks on the Joint Distribution of Descents and Inverse Descents. The Electronic Journal of Combinatorics. 20(1). 8 indexed citations
8.
Savage, Carla D. & Mirkó Visontai. (2013). Eulerian polynomials of type $D$ have only real roots. Discrete Mathematics & Theoretical Computer Science. DMTCS Proceedings vol. AS,...(Proceedings). 3 indexed citations
9.
Király, Zoltán, et al.. (2012). On Families of Weakly Cross-intersecting Set-pairs. Fundamenta Informaticae. 117(1-4). 189–198. 7 indexed citations
10.
Haglund, J. & Mirkó Visontai. (2012). Stable multivariate Eulerian polynomials and generalized Stirling permutations. European Journal of Combinatorics. 33(4). 477–487. 36 indexed citations
11.
Visontai, Mirkó. (2012). Real-rooted polynomials in combinatorics. Scholarly Commons (University of Pennsylvania). 1 indexed citations
12.
Haglund, James & Mirkó Visontai. (2009). On the Monotone Column Permanent conjecture. Discrete Mathematics & Theoretical Computer Science. DMTCS Proceedings vol. AK,...(Proceedings). 2 indexed citations
13.
Makadia, Ameesh, Mirkó Visontai, & Kostas Daniilidis. (2007). Harmonic Silhouette Matching for 3D Models. 1651. 1–4. 4 indexed citations
14.
Khanna, Sanjeev, et al.. (2007). On the complexity of graph self-assembly in accretive systems. Natural Computing. 7(2). 183–201. 1 indexed citations
15.
Zhong, Hua, Jianbo Shi, & Mirkó Visontai. (2004). Detecting unusual activity in video. 2. 819–826. 343 indexed citations
16.
Visontai, Mirkó, et al.. (2000). Complexity Problem of Potential Based Guiding. IFAC Proceedings Volumes. 33(28). 141–145. 1 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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