Miklós Csürös

3.2k total citations
33 papers, 1.0k citations indexed

About

Miklós Csürös is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Miklós Csürös has authored 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 8 papers in Artificial Intelligence and 7 papers in Genetics. Recurrent topics in Miklós Csürös's work include Genomics and Phylogenetic Studies (17 papers), RNA and protein synthesis mechanisms (12 papers) and RNA Research and Splicing (6 papers). Miklós Csürös is often cited by papers focused on Genomics and Phylogenetic Studies (17 papers), RNA and protein synthesis mechanisms (12 papers) and RNA Research and Splicing (6 papers). Miklós Csürös collaborates with scholars based in Canada, United States and Hungary. Miklós Csürös's co-authors include Igor B. Rogozin, Eugene V. Koonin, Liran Carmel, Ida Miklós, Malay Kumar Basu, Diana A. Chernikova, Ming‐Yang Kao, Á. Veres, L. Lakosi and Miklós Ruszinkó and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Information Theory and Genome Research.

In The Last Decade

Miklós Csürös

33 papers receiving 983 citations

Peers

Miklós Csürös
Comparison fields: 5 of 106
  • Molecular Biology 772
  • Plant Science 214
  • Genetics 170
  • Ecology 131
  • Artificial Intelligence 53
Replace Edward Lang with:
Edward Lang United States
Mukul S. Bansal United States
Elisabeth R.M. Tillier Canada
A. N. Fedorov Russia
Adrian Altenhoff Switzerland
Quinn Snell United States
Tomáš Vinař Slovakia
Huai-Chun Wang Canada
Natasha Glover Switzerland
Sebastian Will Germany
Edward Lang United States View profile →
Citations per field, relative to Miklós Csürös
Miklós Csürös · 1×
Citations per year, relative to Miklós Csürös
Miklós Csürös · 1×

Countries citing papers authored by Miklós Csürös

Since Specialization
Citations

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

Fields of papers citing papers by Miklós Csürös

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miklós Csürös

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 9
3 4
4 267
5 43
6 62
7 123
8 93
9 34
10 43
11 20
12 20
13 4
14 12
15
Algorithms for finding maximal-scoring segment sets: (Extended abstract)
2
16 9
17 3
18 8
19
Recovering evolutionary trees through harmonic greedy triplets
11
20 11

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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