Jakob Troidl

538 total citations
7 papers, 71 citations indexed

About

Jakob Troidl is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Jakob Troidl has authored 7 papers receiving a total of 71 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biophysics, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Cognitive Neuroscience. Recurrent topics in Jakob Troidl's work include Cell Image Analysis Techniques (5 papers), Advanced Fluorescence Microscopy Techniques (3 papers) and Data Visualization and Analytics (3 papers). Jakob Troidl is often cited by papers focused on Cell Image Analysis Techniques (5 papers), Advanced Fluorescence Microscopy Techniques (3 papers) and Data Visualization and Analytics (3 papers). Jakob Troidl collaborates with scholars based in United States, Saudi Arabia and Austria. Jakob Troidl's co-authors include Johanna Beyer, Hanspeter Pfister, Markus Hadwiger, Qianwen Wang, Arie Kaufman, Eduard Gröller, Nils Gehlenborg, Zhutian Chen, Chenyang Zhang and Corrado Calı and has published in prestigious journals such as Nature Methods, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.

In The Last Decade

Jakob Troidl

6 papers receiving 71 citations

Peers

Jakob Troidl

BIOPH

CVPR

AI

CGCD

SB

Alberto Bailoni Germany

Jordan Matelsky United States

Nina Miolane United States

Steffen Wolf Germany

Jiapeng Zhu Hong Kong

J. Samuel Preston United States

Vincent Nozick Japan

Jordão Bragantini Brazil

Thomas Macrina United States

Tegan Emerson United States

Alberto Bailoni Germany

Jakob Troidl

13 ×0.6

BIOPH

15 ×0.8

CVPR

12 ×1.1

AI

1 ×0.1

CGCD

6 ×0.8

SB

Citations per year, relative to Jakob Troidl Jakob Troidl (= 1×) peers Alberto Bailoni

Countries citing papers authored by Jakob Troidl

Since Specialization

Citations

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

Fields of papers citing papers by Jakob Troidl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakob Troidl

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

All Works

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7 of 7 papers shown

1.

Troidl, Jakob, Jeremy L. Muhlich, Robert Krueger, et al.. (2024). psudo: Exploring Multi‐Channel Biomedical Image Data with Spatially and Perceptually Optimized Pseudocoloring. Computer Graphics Forum. 43(3).

2.

Velicky, Philipp, Eder Miguel, Donglai Wei, et al.. (2023). Dense 4D nanoscale reconstruction of living brain tissue. Nature Methods. 20(8). 1256–1265. 16 indexed citations

3.

Chen, Zhutian, Chenyang Zhang, Qianwen Wang, et al.. (2023). Beyond Generating Code: Evaluating GPT on a Data Visualization Course. 16–21. 17 indexed citations

4.

Troidl, Jakob, Jinhan Choi, Jordan Matelsky, et al.. (2023). ViMO - Visual Analysis of Neuronal Connectivity Motifs. IEEE Transactions on Visualization and Computer Graphics. 30(1). 748–758. 5 indexed citations

5.

Beyer, Johanna, et al.. (2022). A Survey of Visualization and Analysis in High‐Resolution Connectomics. Computer Graphics Forum. 41(3). 573–607. 12 indexed citations

6.

Troidl, Jakob, Corrado Calı, Eduard Gröller, et al.. (2022). Barrio: Customizable Spatial Neighborhood Analysis and Comparison for Nanoscale Brain Structures. Computer Graphics Forum. 41(3). 183–194. 11 indexed citations

7.

Rautek, Peter, et al.. (2020). Objective Observer-Relative Flow Visualization in Curved Spaces for Unsteady 2D Geophysical Flows. IEEE Transactions on Visualization and Computer Graphics. 27(2). 283–293. 10 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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