Konstantin Berlin

10.7k total citations · 3 hit papers
19 papers, 6.0k citations indexed

About

Konstantin Berlin is a scholar working on Molecular Biology, Materials Chemistry and Signal Processing. According to data from OpenAlex, Konstantin Berlin has authored 19 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Materials Chemistry and 6 papers in Signal Processing. Recurrent topics in Konstantin Berlin's work include Enzyme Structure and Function (6 papers), Protein Structure and Dynamics (6 papers) and Advanced Malware Detection Techniques (6 papers). Konstantin Berlin is often cited by papers focused on Enzyme Structure and Function (6 papers), Protein Structure and Dynamics (6 papers) and Advanced Malware Detection Techniques (6 papers). Konstantin Berlin collaborates with scholars based in United States, India and Italy. Konstantin Berlin's co-authors include Adam M. Phillippy, Sergey Koren, Brian P. Walenz, Nicholas H. Bergman, Jason Miller, Joshua Saxe, Chen-Shan Chin, James Drake, Jane M. Landolin and David Fushman and has published in prestigious journals such as Journal of the American Chemical Society, Nature Biotechnology and Genome Research.

In The Last Decade

Konstantin Berlin

18 papers receiving 5.9k citations

Hit Papers

Canu: scalable and accurate long-read assembly via adapti... 2015 2026 2018 2022 2017 2015 2015 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Konstantin Berlin United States 11 3.5k 2.0k 1.0k 694 420 19 6.0k
Srinivas Aluru United States 29 4.2k 1.2× 2.1k 1.1× 1.4k 1.4× 681 1.0× 75 0.2× 170 7.1k
Victor Markowitz United States 31 4.9k 1.4× 1.2k 0.6× 2.9k 2.9× 441 0.6× 121 0.3× 127 7.3k
Stefan Götz Germany 21 3.2k 0.9× 2.4k 1.2× 786 0.8× 960 1.4× 65 0.2× 54 7.2k
Haixu Tang United States 46 5.7k 1.6× 1.3k 0.7× 1.1k 1.1× 1.4k 2.0× 105 0.3× 186 8.2k
Stefan Kurtz Germany 31 7.1k 2.0× 3.4k 1.8× 1.3k 1.3× 1.6k 2.3× 65 0.2× 67 10.2k
Yuanxing Zhang China 40 2.8k 0.8× 305 0.2× 544 0.5× 409 0.6× 207 0.5× 329 5.8k
Michael C. Schatz United States 55 10.3k 3.0× 5.2k 2.7× 1.6k 1.6× 4.2k 6.0× 80 0.2× 151 16.5k
Vincent Moulton United Kingdom 42 3.8k 1.1× 3.1k 1.6× 557 0.6× 1.4k 2.0× 48 0.1× 239 8.0k
Gary Benson United States 25 5.4k 1.6× 2.5k 1.3× 889 0.9× 2.1k 3.1× 31 0.1× 57 8.5k
Francis Y. L. Chin Hong Kong 26 2.4k 0.7× 413 0.2× 1.4k 1.4× 257 0.4× 159 0.4× 89 4.5k

Countries citing papers authored by Konstantin Berlin

Since Specialization
Citations

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

Fields of papers citing papers by Konstantin Berlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Konstantin Berlin

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

All Works

19 of 19 papers shown
1.
Berlin, Konstantin, et al.. (2023). Web Content Filtering Through Knowledge Distillation of Large Language Models. 357–361. 7 indexed citations
2.
Berlin, Konstantin, et al.. (2021). AI Total: Analyzing Security ML Models with Imperfect Data in Production. 10–14. 2 indexed citations
3.
Berlin, Konstantin, et al.. (2020). Learning from Context: A Multi-View Deep Learning Architecture for Malware Detection. 1–7. 11 indexed citations
4.
Long, Alex, et al.. (2019). SMART: Semantic Malware Attribute Relevance Tagging.. arXiv (Cornell University). 3 indexed citations
5.
Koren, Sergey, Brian P. Walenz, Konstantin Berlin, et al.. (2017). Canu: scalable and accurate long-read assembly via adaptive k -mer weighting and repeat separation. Genome Research. 27(5). 722–736. 4640 indexed citations breakdown →
6.
Berlin, Konstantin, et al.. (2017). An Overview of Cryptanalysis of RSA Public key System. International Journal of Engineering and Technology. 9(5). 3575–3579. 6 indexed citations
7.
Berlin, Konstantin, Sergey Koren, Chen-Shan Chin, et al.. (2015). Assembling large genomes with single-molecule sequencing and locality-sensitive hashing. Nature Biotechnology. 33(6). 623–630. 629 indexed citations breakdown →
8.
Berlin, Konstantin, et al.. (2015). Malicious Behavior Detection using Windows Audit Logs. 35–44. 55 indexed citations
9.
Berlin, Konstantin, David Fushman, Claudio Luchinat, et al.. (2015). Information content of long-range NMR data for the characterization of conformational heterogeneity. Journal of Biomolecular NMR. 62(3). 353–371. 20 indexed citations
10.
Saxe, Joshua & Konstantin Berlin. (2015). Deep neural network based malware detection using two dimensional binary program features. 11–20. 391 indexed citations breakdown →
11.
Berlin, Konstantin, Nail A. Gumerov, David Fushman, & Ramani Duraiswami. (2014). HierarchicalO(N) computation of small-angle scattering profiles and their associated derivatives. Journal of Applied Crystallography. 47(2). 755–761. 4 indexed citations
12.
Berlin, Konstantin, et al.. (2014). Performance Analysis of Threshold based Image Encryption. International Journal of Computer Applications. 99(12). 30–33.
13.
Berlin, Konstantin, Andrew P. Longhini, T. Kwaku Dayie, & David Fushman. (2013). Deriving quantitative dynamics information for proteins and RNAs using ROTDIF with a graphical user interface. Journal of Biomolecular NMR. 57(4). 333–352. 42 indexed citations
14.
Berlin, Konstantin, et al.. (2013). Recovering a Representative Conformational Ensemble from Underdetermined Macromolecular Structural Data. Journal of the American Chemical Society. 135(44). 16595–16609. 91 indexed citations
15.
Gumerov, Nail A., Konstantin Berlin, David Fushman, & Ramani Duraiswami. (2012). A hierarchical algorithm for fast debye summation with applications to small angle scattering. Journal of Computational Chemistry. 33(25). 1981–1996. 20 indexed citations
16.
Berlin, Konstantin, Dianne P. O’Leary, & David Fushman. (2011). Fast approximations of the rotational diffusion tensor and their application to structural assembly of molecular complexes. Proteins Structure Function and Bioinformatics. 79(7). 2268–2281. 7 indexed citations
17.
Berlin, Konstantin, Dianne P. O’Leary, & David Fushman. (2010). Structural Assembly of Molecular Complexes Based on Residual Dipolar Couplings. Journal of the American Chemical Society. 132(26). 8961–8972. 15 indexed citations
18.
Berlin, Konstantin, Dianne P. O’Leary, & David Fushman. (2009). Improvement and analysis of computational methods for prediction of residual dipolar couplings. Journal of Magnetic Resonance. 201(1). 25–33. 33 indexed citations
19.
Berlin, Konstantin, et al.. (2003). Evaluating the Impact of Programming Language Features on the Performance of Parallel Applications on Cluster Architectures. 2 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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