Dmitri S. Pavlichin

680 total citations
22 papers, 408 citations indexed

About

Dmitri S. Pavlichin is a scholar working on Artificial Intelligence, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Dmitri S. Pavlichin has authored 22 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Molecular Biology and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Dmitri S. Pavlichin's work include Genomics and Phylogenetic Studies (4 papers), Algorithms and Data Compression (4 papers) and Neural Networks and Reservoir Computing (3 papers). Dmitri S. Pavlichin is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Algorithms and Data Compression (4 papers) and Neural Networks and Reservoir Computing (3 papers). Dmitri S. Pavlichin collaborates with scholars based in United States, Australia and China. Dmitri S. Pavlichin's co-authors include Hideo Mabuchi, Tsachy Weissman, Hendra I. Nurdin, Joseph Kerckhoff, Daniel Herschlag, Max Greenfeld, Damon A. Clark, Albert Kao, Aravinthan D. T. Samuel and Harrison W. Gabel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Dmitri S. Pavlichin

20 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dmitri S. Pavlichin United States 9 166 157 101 62 36 22 408
Viola Folli Italy 13 78 0.5× 68 0.4× 123 1.2× 58 0.9× 6 0.2× 38 442
Quentin Thommen France 16 24 0.1× 167 1.1× 262 2.6× 5 0.1× 10 0.3× 31 606
Giorgio Gosti Italy 11 53 0.3× 137 0.9× 12 0.1× 12 0.2× 22 0.6× 27 311
Philip Bittihn Germany 15 15 0.1× 497 3.2× 45 0.4× 50 0.8× 43 1.2× 29 1.1k
Norbert Lindow Germany 14 23 0.1× 251 1.6× 15 0.1× 40 0.6× 81 2.3× 22 557
Heungwon Park United States 14 47 0.3× 306 1.9× 34 0.3× 4 0.1× 43 1.2× 23 610
M. K. Stephen Yeung United States 4 59 0.4× 709 4.5× 59 0.6× 4 0.1× 32 0.9× 7 1.2k
Madalena Chaves France 17 36 0.2× 897 5.7× 7 0.1× 9 0.1× 48 1.3× 63 1.1k
Shuichi Onami Japan 15 21 0.1× 403 2.6× 12 0.1× 146 2.4× 149 4.1× 50 675
Dorjsuren Battogtokh United States 14 12 0.1× 364 2.3× 115 1.1× 6 0.1× 27 0.8× 27 869

Countries citing papers authored by Dmitri S. Pavlichin

Since Specialization
Citations

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

Fields of papers citing papers by Dmitri S. Pavlichin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dmitri S. Pavlichin. 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 Dmitri S. Pavlichin. The network helps show where Dmitri S. Pavlichin may publish in the future.

Co-authorship network of co-authors of Dmitri S. Pavlichin

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitri S. Pavlichin. A scholar is included among the top collaborators of Dmitri S. Pavlichin 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 Dmitri S. Pavlichin. Dmitri S. Pavlichin 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
1.
An, Ho Jung, HoJoon Lee, Billy T. Lau, et al.. (2024). Tumor-associated microbiome features of metastatic colorectal cancer and clinical implications. Frontiers in Oncology. 13. 1310054–1310054. 5 indexed citations
2.
Pavlichin, Dmitri S., HoJoon Lee, Stephanie Greer, et al.. (2022). KmerKeys: a web resource for searching indexed genome assemblies and variants. Nucleic Acids Research. 50(W1). W448–W453. 2 indexed citations
3.
Lau, Billy T., Dmitri S. Pavlichin, Gi Won Shin, et al.. (2021). Profiling SARS-CoV-2 mutation fingerprints that range from the viral pangenome to individual infection quasispecies. Genome Medicine. 13(1). 62–62. 19 indexed citations
4.
Lee, HoJoon, et al.. (2020). Unique k -mer sequences for validating cancer-related substitution, insertion and deletion mutations. NAR Cancer. 2(4). zcaa034–zcaa034. 6 indexed citations
5.
Pavlichin, Dmitri S., Jiantao Jiao, & Tsachy Weissman. (2019). Approximate Profile Maximum Likelihood. Journal of Machine Learning Research. 20(122). 1–55. 8 indexed citations
6.
Hernáez, Mikel, Dmitri S. Pavlichin, Tsachy Weissman, & Idoia Ochoa. (2019). Genomic Data Compression. 2(1). 19–37. 38 indexed citations
7.
Ding, Dawei, Dmitri S. Pavlichin, & Mark M. Wilde. (2018). Quantum Channel Capacities per Unit Cost. IEEE Transactions on Information Theory. 65(1). 418–435. 8 indexed citations
8.
Pavlichin, Dmitri S., Amir Ingber, & Tsachy Weissman. (2017). Compressing Tabular Data via Pairwise Dependencies. PubMed. 2017. 455–455.
9.
Bisaria, Namita, Max Greenfeld, Charles Limouse, et al.. (2016). Kinetic and thermodynamic framework for P4-P6 RNA reveals tertiary motif modularity and modulation of the folding preferred pathway. Proceedings of the National Academy of Sciences. 113(34). E4956–65. 17 indexed citations
10.
Greenfeld, Max, Jan-Willem van de Meent, Dmitri S. Pavlichin, et al.. (2015). Single-molecule dataset (SMD): a generalized storage format for raw and processed single-molecule data. BMC Bioinformatics. 16(1). 3–3. 7 indexed citations
11.
Pavlichin, Dmitri S.. (2015). Nearest symmetric distributions. 6. 1630–1634. 1 indexed citations
12.
Shi, Xuesong, et al.. (2014). Roles of Long-Range Tertiary Interactions in Limiting Dynamics of the Tetrahymena Group I Ribozyme. Journal of the American Chemical Society. 136(18). 6643–6648. 10 indexed citations
13.
Pavlichin, Dmitri S. & Hideo Mabuchi. (2014). Optical modular arithmetic. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9083. 908315–908315. 2 indexed citations
14.
Pavlichin, Dmitri S., Tsachy Weissman, & Golan Yona. (2013). The human genome contracts again. Bioinformatics. 29(17). 2199–2202. 27 indexed citations
15.
Sarma, Gopal, Ryan Hamerly, Nikolas Tezak, Dmitri S. Pavlichin, & Hideo Mabuchi. (2013). Transformation of Quantum Photonic Circuit Models by Term Rewriting. IEEE photonics journal. 5(1). 7500111–7500111. 5 indexed citations
16.
Greenfeld, Max, Dmitri S. Pavlichin, Hideo Mabuchi, & Daniel Herschlag. (2012). Single Molecule Analysis Research Tool (SMART): An Integrated Approach for Analyzing Single Molecule Data. PLoS ONE. 7(2). e30024–e30024. 63 indexed citations
17.
Kerckhoff, Joseph, Michael A. Armen, Dmitri S. Pavlichin, & Hideo Mabuchi. (2011). Optical `bistability' with single atom absorbers. QThB3–QThB3.
18.
Kerckhoff, Joseph, Hendra I. Nurdin, Dmitri S. Pavlichin, & Hideo Mabuchi. (2010). Designing Quantum Memories with Embedded Control: Photonic Circuits for Autonomous Quantum Error Correction. Physical Review Letters. 105(4). 40502–40502. 92 indexed citations
19.
Kerckhoff, Joseph, Hendra I. Nurdin, Dmitri S. Pavlichin, & Hideo Mabuchi. (2009). Coherent-feedback formulation of a continuous quantum error correction protocol. arXiv (Cornell University). 2 indexed citations
20.
Gabel, Christopher V., Harrison W. Gabel, Dmitri S. Pavlichin, et al.. (2007). Neural Circuits Mediate Electrosensory Behavior inCaenorhabditis elegans. Journal of Neuroscience. 27(28). 7586–7596. 85 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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