John Goutsias

4.3k total citations
87 papers, 1.9k citations indexed

About

John Goutsias is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Media Technology. According to data from OpenAlex, John Goutsias has authored 87 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 23 papers in Molecular Biology and 14 papers in Media Technology. Recurrent topics in John Goutsias's work include Medical Image Segmentation Techniques (25 papers), Digital Image Processing Techniques (15 papers) and Image Retrieval and Classification Techniques (15 papers). John Goutsias is often cited by papers focused on Medical Image Segmentation Techniques (25 papers), Digital Image Processing Techniques (15 papers) and Image Retrieval and Classification Techniques (15 papers). John Goutsias collaborates with scholars based in United States, Netherlands and Brazil. John Goutsias's co-authors include H.J.A.M. Heijmans, Dan Schonfeld, Ulisses Braga-Neto, Luc Vincent, Dan S. Bloomberg, Krishnamoorthy Sivakumar, Garrett Jenkinson, Andrew P. Feinberg, Jerry M. Mendel and Hung T. Nguyen and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and Nature Genetics.

In The Last Decade

John Goutsias

78 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Goutsias United States 23 873 530 276 228 132 87 1.9k
Raghu Machiraju United States 27 1.0k 1.2× 464 0.9× 79 0.3× 286 1.3× 60 0.5× 143 2.4k
Guillaume Obozinski Switzerland 15 588 0.7× 258 0.5× 94 0.3× 700 3.1× 78 0.6× 38 2.0k
Ngai-Fong Law Hong Kong 18 449 0.5× 282 0.5× 142 0.5× 198 0.9× 35 0.3× 88 978
Dao‐Qing Dai China 30 1.4k 1.6× 504 1.0× 361 1.3× 518 2.3× 188 1.4× 116 2.5k
Martin Heusel Austria 6 1.7k 2.0× 304 0.6× 139 0.5× 585 2.6× 50 0.4× 6 2.5k
Fang Li China 23 1.1k 1.2× 145 0.3× 664 2.4× 124 0.5× 75 0.6× 159 2.0k
Gal Elidan Israel 18 389 0.4× 607 1.1× 76 0.3× 575 2.5× 90 0.7× 45 1.6k
Raj Acharya United States 19 412 0.5× 423 0.8× 57 0.2× 145 0.6× 38 0.3× 132 1.4k

Countries citing papers authored by John Goutsias

Since Specialization
Citations

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

Fields of papers citing papers by John Goutsias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Goutsias

This figure shows the co-authorship network connecting the top 25 collaborators of John Goutsias. A scholar is included among the top collaborators of John Goutsias 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 John Goutsias. John Goutsias 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.
Koldobskiy, Michael A., Garrett Jenkinson, Jordi Abante, et al.. (2021). Converging genetic and epigenetic drivers of paediatric acute lymphoblastic leukaemia identified by an information-theoretic analysis. Nature Biomedical Engineering. 5(4). 360–376. 13 indexed citations
2.
Abante, Jordi, et al.. (2021). Estimating DNA methylation potential energy landscapes from nanopore sequencing data. Scientific Reports. 11(1). 21619–21619. 5 indexed citations
3.
Koldobskiy, Michael A., Jordi Abante, Garrett Jenkinson, et al.. (2020). A Dysregulated DNA Methylation Landscape Linked to Gene Expression in MLL-Rearranged AML. Epigenetics. 15(8). 841–858. 12 indexed citations
4.
Jenkinson, Garrett, Jordi Abante, Michael A. Koldobskiy, Andrew P. Feinberg, & John Goutsias. (2019). Ranking genomic features using an information-theoretic measure of epigenetic discordance. BMC Bioinformatics. 20(1). 175–175. 9 indexed citations
5.
Jenkinson, Garrett, Jordi Abante, Andrew P. Feinberg, & John Goutsias. (2018). An information-theoretic approach to the modeling and analysis of whole-genome bisulfite sequencing data. BMC Bioinformatics. 19(1). 87–87. 15 indexed citations
6.
Nakamura, Hideki, Shigeki Watanabe, Shiva Razavi, et al.. (2017). Intracellular production of hydrogels and synthetic RNA granules by multivalent molecular interactions. Nature Materials. 17(1). 79–89. 99 indexed citations
7.
Goutsias, John, et al.. (2014). Integrative Identification of Deregulated MiRNA/TF-Mediated Gene Regulatory Loops and Networks in Prostate Cancer. PLoS ONE. 9(6). e100806–e100806. 24 indexed citations
8.
Jenkinson, Garrett & John Goutsias. (2014). Intrinsic Noise Induces Critical Behavior in Leaky Markovian Networks Leading to Avalanching. PLoS Computational Biology. 10(1). e1003411–e1003411.
9.
Goutsias, John, et al.. (2010). A comparison of approximation techniques for variance-based sensitivity analysis of biochemical reaction systems. BMC Bioinformatics. 11(1). 246–246. 9 indexed citations
10.
Jenkinson, Garrett, Xiaogang Zhong, & John Goutsias. (2010). Thermodynamically consistent Bayesian analysis of closed biochemical reaction systems. BMC Bioinformatics. 11(1). 547–547. 2 indexed citations
11.
Goutsias, John & Nathan Lee. (2007). Computational and Experimental Approaches for Modeling Gene Regulatory Networks. Current Pharmaceutical Design. 13(14). 1415–1436. 42 indexed citations
12.
Braga-Neto, Ulisses & John Goutsias. (2005). Object-based image analysis using multiscale connectivity. IEEE Transactions on Pattern Analysis and Machine Intelligence. 27(6). 892–907. 12 indexed citations
13.
Goutsias, John & Seungchan Kim. (2004). A Nonlinear Discrete Dynamical Model for Transcriptional Regulation: Construction and Properties. Biophysical Journal. 86(4). 1922–1945. 30 indexed citations
14.
Goutsias, John, et al.. (2003). Unsupervised iterative detection of land mines in highly cluttered environments. IEEE Transactions on Image Processing. 12(5). 509–523. 13 indexed citations
15.
16.
Heijmans, H.J.A.M. & John Goutsias. (1999). Multiresolution signal decomposition schemes. Part 2: Morphological wavelets. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–60. 29 indexed citations
17.
Goutsias, John & H.J.A.M. Heijmans. (1998). Multiresolution signal decomposition schemes. Data Archiving and Networked Services (DANS). 1–50. 10 indexed citations
18.
Goutsias, John, Ronald Mahler, & Hung T. Nguyen. (1997). Random sets : theory and applications. CERN Document Server (European Organization for Nuclear Research). 71 indexed citations
19.
Sivakumar, Krishnamoorthy & John Goutsias. (1996). Binary random fields, random closed sets, and morphological sampling. IEEE Transactions on Image Processing. 5(6). 899–912. 7 indexed citations
20.
Goutsias, John & Jerry M. Mendel. (1986). Maximum-likelihood deconvolution; an optimization theory perspective. Geophysics. 51(6). 1206–1220. 24 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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