Jesin Zakaria

1.8k total citations · 1 hit paper
11 papers, 1.2k citations indexed

About

Jesin Zakaria is a scholar working on Signal Processing, Artificial Intelligence and Biophysics. According to data from OpenAlex, Jesin Zakaria has authored 11 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 9 papers in Artificial Intelligence and 1 paper in Biophysics. Recurrent topics in Jesin Zakaria's work include Time Series Analysis and Forecasting (10 papers), Anomaly Detection Techniques and Applications (8 papers) and Music and Audio Processing (5 papers). Jesin Zakaria is often cited by papers focused on Time Series Analysis and Forecasting (10 papers), Anomaly Detection Techniques and Applications (8 papers) and Music and Audio Processing (5 papers). Jesin Zakaria collaborates with scholars based in United States, Thailand and Brazil. Jesin Zakaria's co-authors include Eamonn Keogh, Abdullah Mueen, Bilson Campana, Thanawin Rakthanmanon, Gustavo Batista, Brandon Westover, Qiang Zhu, Yanping Chen, Bing Hu and Yuan Hao and has published in prestigious journals such as Data Mining and Knowledge Discovery, ACM Transactions on Knowledge Discovery from Data and PubMed.

In The Last Decade

Jesin Zakaria

11 papers receiving 1.2k citations

Hit Papers

Searching and mining trillions of time series subsequence... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jesin Zakaria United States 10 917 611 187 175 81 11 1.2k
Bilson Campana United States 10 763 0.8× 493 0.8× 133 0.7× 183 1.0× 68 0.8× 15 1.1k
Thanawin Rakthanmanon United States 16 1.2k 1.3× 879 1.4× 262 1.4× 230 1.3× 105 1.3× 35 1.7k
Chin‐Chia Michael Yeh United States 17 761 0.8× 715 1.2× 176 0.9× 235 1.3× 134 1.7× 52 1.2k
Lexiang Ye United States 5 699 0.8× 537 0.9× 195 1.0× 95 0.5× 40 0.5× 7 875
Eugene Tuv United States 10 506 0.6× 637 1.0× 127 0.7× 161 0.9× 30 0.4× 23 1.2k
James Large United Kingdom 8 909 1.0× 750 1.2× 202 1.1× 105 0.6× 32 0.4× 8 1.3k
Carlos Agón France 8 634 0.7× 366 0.6× 120 0.6× 272 1.6× 61 0.8× 26 880
S. Chu United States 3 428 0.5× 308 0.5× 82 0.4× 114 0.7× 99 1.2× 7 740
Hoang Anh Dau United States 10 486 0.5× 437 0.7× 114 0.6× 99 0.6× 76 0.9× 12 721
Liudmila Ulanova United States 10 489 0.5× 414 0.7× 117 0.6× 105 0.6× 102 1.3× 11 759

Countries citing papers authored by Jesin Zakaria

Since Specialization
Citations

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

Fields of papers citing papers by Jesin Zakaria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesin Zakaria

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

All Works

11 of 11 papers shown
1.
Shokoohi-Yekta, Mohammad, Yanping Chen, Bilson Campana, et al.. (2015). Discovery of Meaningful Rules in Time Series. 1085–1094. 52 indexed citations
2.
Zakaria, Jesin, Abdullah Mueen, Eamonn Keogh, & Neal E. Young. (2015). Accelerating the discovery of unsupervised-shapelets. Data Mining and Knowledge Discovery. 30(1). 243–281. 23 indexed citations
3.
Chen, Yanping, Yuan Hao, Thanawin Rakthanmanon, et al.. (2014). A general framework for never-ending learning from time series streams. Data Mining and Knowledge Discovery. 29(6). 1622–1664. 34 indexed citations
4.
Rakthanmanon, Thanawin, Bilson Campana, Abdullah Mueen, et al.. (2013). Addressing Big Data Time Series. ACM Transactions on Knowledge Discovery from Data. 7(3). 1–31. 145 indexed citations
5.
Hu, Bing, Yanping Chen, Jesin Zakaria, Liudmila Ulanova, & Eamonn Keogh. (2013). Classification of Multi-dimensional Streaming Time Series by Weighting Each Classifier's Track Record. 281–290. 23 indexed citations
6.
Rakthanmanon, Thanawin, Bilson Campana, Abdullah Mueen, et al.. (2013). Addressing Big Data Time Series. ACM Transactions on Knowledge Discovery from Data. 7(3). 1–31. 53 indexed citations
7.
Rakthanmanon, Thanawin, Bilson Campana, Abdullah Mueen, et al.. (2013). Data mining a trillion time series subsequences under dynamic time warping. 3047–3051. 13 indexed citations
8.
Hao, Yuan, Yanping Chen, Jesin Zakaria, et al.. (2013). Towards never-ending learning from time series streams. 874–882. 21 indexed citations
9.
Zakaria, Jesin, Sarah E. Rotschafer, Abdullah Mueen, Khaleel A. Razak, & Eamonn Keogh. (2012). Mining Massive Archives of Mice Sounds with Symbolized Representations. 588–599. 9 indexed citations
10.
Zakaria, Jesin, Abdullah Mueen, & Eamonn Keogh. (2012). Clustering Time Series Using Unsupervised-Shapelets. 785–794. 148 indexed citations
11.
Rakthanmanon, Thanawin, Bilson Campana, Abdullah Mueen, et al.. (2012). Searching and mining trillions of time series subsequences under dynamic time warping. PubMed. 2012. 262–270. 677 indexed citations breakdown →

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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