Johannes Mehrer

523 total citations
6 papers, 270 citations indexed

About

Johannes Mehrer is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Johannes Mehrer has authored 6 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Johannes Mehrer's work include Neural dynamics and brain function (3 papers), Face Recognition and Perception (3 papers) and Functional Brain Connectivity Studies (1 paper). Johannes Mehrer is often cited by papers focused on Neural dynamics and brain function (3 papers), Face Recognition and Perception (3 papers) and Functional Brain Connectivity Studies (1 paper). Johannes Mehrer collaborates with scholars based in United Kingdom, United States and Netherlands. Johannes Mehrer's co-authors include Tim C. Kietzmann, Nikolaus Kriegeskorte, Courtney J. Spoerer, Alexander Walther, Katherine R. Storrs, Ian Charest, Álex Hernández-García and Peter König and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Cognitive Neuroscience.

In The Last Decade

Johannes Mehrer

6 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Johannes Mehrer United Kingdom	4	198	69	55	18	18	6	270
Kshitij Dwivedi Germany	7	157 0.8×	88 1.3×	63 1.1×	15 0.8×	12 0.7×	16	269
Yihan Wu United States	7	232 1.2×	63 0.9×	43 0.8×	23 1.3×	46 2.6×	24	356
Jacob S. Prince United States	7	277 1.4×	76 1.1×	31 0.6×	23 1.3×	26 1.4×	17	364
Beibin Li United States	9	91 0.5×	44 0.6×	47 0.9×	18 1.0×	27 1.5×	26	198
Dustin Stansbury United States	5	349 1.8×	90 1.3×	30 0.5×	34 1.9×	44 2.4×	7	404
Siming Yan United States	5	143 0.7×	85 1.2×	30 0.5×	12 0.7×	7 0.4×	9	245
R. T. Pramod India	8	117 0.6×	58 0.8×	23 0.4×	19 1.1×	18 1.0×	14	186
Lynn K. A. Sörensen Netherlands	5	224 1.1×	53 0.8×	26 0.5×	15 0.8×	21 1.2×	7	260
Junxing Shi United States	6	274 1.4×	123 1.8×	46 0.8×	13 0.7×	9 0.5×	7	370
Katja Seeliger Netherlands	7	233 1.2×	124 1.8×	68 1.2×	10 0.6×	15 0.8×	14	358

Countries citing papers authored by Johannes Mehrer

Since Specialization

Citations

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

Fields of papers citing papers by Johannes Mehrer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Mehrer

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

All Works

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6 of 6 papers shown

1.

Storrs, Katherine R., Tim C. Kietzmann, Alexander Walther, Johannes Mehrer, & Nikolaus Kriegeskorte. (2021). Diverse Deep Neural Networks All Predict Human Inferior Temporal Cortex Well, After Training and Fitting. Journal of Cognitive Neuroscience. 33(10). 1–21. 63 indexed citations

2.

Mehrer, Johannes, et al.. (2021). An ecologically motivated image dataset for deep learning yields better models of human vision. Proceedings of the National Academy of Sciences. 118(8). 78 indexed citations

3.

Spoerer, Courtney J., Tim C. Kietzmann, Johannes Mehrer, Ian Charest, & Nikolaus Kriegeskorte. (2020). Recurrent neural networks can explain flexible trading of speed and accuracy in biological vision. PLoS Computational Biology. 16(10). e1008215–e1008215. 57 indexed citations

4.

Mehrer, Johannes, Courtney J. Spoerer, Nikolaus Kriegeskorte, & Tim C. Kietzmann. (2020). Individual differences among deep neural network models. Nature Communications. 11(1). 5725–5725. 68 indexed citations

5.

Mehrer, Johannes, Nikolaus Kriegeskorte, & Tim C. Kietzmann. (2018). Beware of the beginnings: intermediate and higher-level representations in deep neural networks are strongly affected by weight initialization. 1 indexed citations

6.

Hernández-García, Álex, Johannes Mehrer, Nikolaus Kriegeskorte, Peter König, & Tim C. Kietzmann. (2018). Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT. 3 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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