Julian Heinrich

1.0k total citations
36 papers, 608 citations indexed

About

Julian Heinrich is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Biophysics. According to data from OpenAlex, Julian Heinrich has authored 36 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 17 papers in Molecular Biology and 9 papers in Biophysics. Recurrent topics in Julian Heinrich's work include Data Visualization and Analytics (18 papers), Cell Image Analysis Techniques (9 papers) and Bioinformatics and Genomic Networks (7 papers). Julian Heinrich is often cited by papers focused on Data Visualization and Analytics (18 papers), Cell Image Analysis Techniques (9 papers) and Bioinformatics and Genomic Networks (7 papers). Julian Heinrich collaborates with scholars based in Germany, Australia and Austria. Julian Heinrich's co-authors include Daniel Weiskopf, Séan O’Donoghue, Christian Stolte, Kenneth S. Sabir, Andrea Schafferhans, Michael Buckley, Bruce Tabor, Burkhard Rost, Brian Gloss and Kay Nieselt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Julian Heinrich

33 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julian Heinrich Germany 14 278 233 116 86 50 36 608
Michael Wybrow Australia 12 240 0.9× 154 0.7× 58 0.5× 27 0.3× 35 0.7× 37 504
Karsten Klein Germany 19 737 2.7× 358 1.5× 165 1.4× 78 0.9× 60 1.2× 79 1.4k
Jarkko Venna Finland 12 422 1.5× 187 0.8× 364 3.1× 101 1.2× 7 0.1× 17 798
Corinna Vehlow Germany 12 389 1.4× 153 0.7× 121 1.0× 80 0.9× 30 0.6× 18 583
Yuli Gao China 19 718 2.6× 298 1.3× 228 2.0× 51 0.6× 10 0.2× 50 1.2k
Jerzy W. Jaromczyk United States 9 177 0.6× 92 0.4× 105 0.9× 93 1.1× 24 0.5× 42 705
Brian Wylie United States 12 257 0.9× 483 2.1× 107 0.9× 22 0.3× 9 0.2× 21 1.0k
Cheng‐Yan Kao Taiwan 17 57 0.2× 426 1.8× 211 1.8× 48 0.6× 22 0.4× 66 954
David Letscher United States 13 220 0.8× 717 3.1× 50 0.4× 20 0.2× 17 0.3× 33 1.4k
Bilal Alsallakh Austria 11 391 1.4× 155 0.7× 244 2.1× 105 1.2× 2 0.0× 24 695

Countries citing papers authored by Julian Heinrich

Since Specialization
Citations

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

Fields of papers citing papers by Julian Heinrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Heinrich

This figure shows the co-authorship network connecting the top 25 collaborators of Julian Heinrich. A scholar is included among the top collaborators of Julian Heinrich 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 Julian Heinrich. Julian Heinrich 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.
Heberle, Henry, et al.. (2024). CIME4R: Exploring iterative, AI-guided chemical reaction optimization campaigns in their parameter space. Journal of Cheminformatics. 16(1). 51–51. 1 indexed citations
2.
Heberle, Henry, et al.. (2023). XSMILES: interactive visualization for molecules, SMILES and XAI attribution scores. Journal of Cheminformatics. 15(1). 2–2. 13 indexed citations
3.
Heberle, Henry, et al.. (2022). ChemInformatics Model Explorer (CIME): exploratory analysis of chemical model explanations. Journal of Cheminformatics. 14(1). 21–21. 18 indexed citations
4.
Yurkovich, James T., Zachary A. King, Laurence Yang, et al.. (2020). Visualizing metabolic network dynamics through time-series metabolomic data. BMC Bioinformatics. 21(1). 130–130. 13 indexed citations
5.
Engelke, Ulrich, et al.. (2017). Comparative eye-tracking evaluation of scatterplots and parallel coordinates. Visual Informatics. 1(2). 118–131. 16 indexed citations
6.
Heinrich, Julian, Aiping Wu, Markus Rittenbruch, et al.. (2016). Evaluating Viewpoint Entropy for Ribbon Representation of Protein Structure. Computer Graphics Forum. 35(3). 181–190. 1 indexed citations
7.
Heinrich, Julian, et al.. (2015). Big Data Visual Analytics with Parallel Coordinates. 1–2. 8 indexed citations
8.
Stolte, Christian, et al.. (2015). Integrated visual analysis of protein structures, sequences, and feature data. BMC Bioinformatics. 16(S11). S7–S7. 6 indexed citations
9.
Heinrich, Julian, Michael Krone, Séan O’Donoghue, & Daniel Weiskopf. (2014). Visualising intrinsic disorder and conformational variation in protein ensembles. Faraday Discussions. 169. 179–193. 8 indexed citations
10.
Heinrich, Julian. (2013). Visualization techniques for parallel coordinates. OPUS Publication Server of the University of Stuttgart (University of Stuttgart). 1 indexed citations
11.
Heinrich, Julian, Yuan Luo, Arthur E. Kirkpatrick, & Daniel Weiskopf. (2012). EVALUATION OF A BUNDLING TECHNIQUE FOR PARALLEL COORDINATES. 594–602. 23 indexed citations
12.
Bartlett, Christopher W., Soo Yeon Cheong, Liping Hou, et al.. (2012). An eQTL biological data visualization challenge and approaches from the visualization community. BMC Bioinformatics. 13(S8). S8–S8. 14 indexed citations
13.
Heinrich, Julian, Corinna Vehlow, Florian Battke, et al.. (2012). iHAT: interactive Hierarchical Aggregation Table for Genetic Association Data. BMC Bioinformatics. 13(S8). S2–S2. 19 indexed citations
14.
Hasenauer, Jan, et al.. (2012). A visual analytics approach for models of heterogeneous cell populations. PubMed. 2012(1). 4–4. 7 indexed citations
15.
Heinrich, Julian & Daniel Weiskopf. (2012). State of the Art of Parallel Coordinates. Eurographics. 141 indexed citations
16.
Hasenauer, Jan, et al.. (2011). Visualization methods and support vector machines as tools for determining markers in models of heterogeneous populations: Proapoptotic signaling as a case study. Site cant be reached. 2 indexed citations
17.
Bosch, Harald, Julian Heinrich, Christoph Müller, et al.. (2009). Innovative filtering techniques and customized analytics tools. 269–270. 6 indexed citations
18.
Krause, Ulla, et al.. (2009). Handheld multifunctional thermal imager and surveillance instrument from Jena-Optronik as part of the German "IDZ-Infanterist der Zukunft" project. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7298. 72981F–72981F. 1 indexed citations
19.
Dietzsch, Janko, Julian Heinrich, Kay Nieselt, & Dirk Bartz. (2008). Visual Analysis of Microarray Data from Bioinformatics Applications.
20.
Vizcaíno, Juan Antonio, Francisco Javier González, M. Belén Suárez, et al.. (2006). Generation, annotation and analysis of ESTs from Trichoderma harzianum CECT 2413. BMC Genomics. 7(1). 193–193. 56 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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