David Klindt

456 total citations
9 papers, 129 citations indexed

About

David Klindt is a scholar working on Cognitive Neuroscience, Biophysics and Molecular Biology. According to data from OpenAlex, David Klindt has authored 9 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 5 papers in Biophysics and 3 papers in Molecular Biology. Recurrent topics in David Klindt's work include Neural dynamics and brain function (7 papers), Visual perception and processing mechanisms (4 papers) and Retinal Development and Disorders (3 papers). David Klindt is often cited by papers focused on Neural dynamics and brain function (7 papers), Visual perception and processing mechanisms (4 papers) and Retinal Development and Disorders (3 papers). David Klindt collaborates with scholars based in Germany, United States and Norway. David Klindt's co-authors include Thomas Euler, Jean Daunizeau, Marie Devaine, Matthias Bethge, Klaudia P. Szatko, Alexander S. Ecker, Katrin Franke, Yongrong Qiu, Laura Busse and Zhijian Zhao and has published in prestigious journals such as Nature Communications, Current Biology and Scientific Reports.

In The Last Decade

David Klindt

9 papers receiving 127 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Klindt Germany	6	79	44	41	14	13	9	129
Maya Jay United States	3	63 0.8×	31 0.7×	70 1.7×	16 1.1×	6 0.5×	3	145
Mohammed Abdal Monium Osman United States	2	57 0.7×	31 0.7×	66 1.6×	16 1.1×	6 0.5×	3	138
Ryan N. Hughes United States	8	137 1.7×	36 0.8×	148 3.6×	8 0.6×	5 0.4×	13	210
Matthijs N. Oude Lohuis Netherlands	8	160 2.0×	30 0.7×	89 2.2×	28 2.0×	4 0.3×	10	213
Alex T. Piet United States	7	136 1.7×	23 0.5×	51 1.2×	9 0.6×	3 0.2×	9	170
Branka Hrvoj-Mihić United States	9	51 0.6×	57 1.3×	31 0.8×	20 1.4×	12 0.9×	12	149
Kevin Chang United States	5	210 2.7×	20 0.5×	45 1.1×	9 0.6×	17 1.3×	6	240
Kaining Zhang China	6	147 1.9×	39 0.9×	49 1.2×	12 0.9×	12 0.9×	11	219
Jan W. Kurzawski Italy	11	248 3.1×	43 1.0×	32 0.8×	22 1.6×	3 0.2×	18	331
Mikhail Proskurin United States	4	184 2.3×	35 0.8×	81 2.0×	27 1.9×	9 0.7×	4	240

Countries citing papers authored by David Klindt

Since Specialization

Citations

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

Fields of papers citing papers by David Klindt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Klindt

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

All Works

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9 of 9 papers shown

1.

Klindt, David, et al.. (2024). Towards interpretable Cryo-EM: disentangling latent spaces of molecular conformations. Frontiers in Molecular Biosciences. 11. 1393564–1393564. 4 indexed citations

2.

Szatko, Klaudia P., Christian Behrens, Yongrong Qiu, et al.. (2024). A chromatic feature detector in the retina signals visual context changes. eLife. 13. 6 indexed citations

3.

Hermansen, Erik, David Klindt, & Benjamin Dunn. (2024). Uncovering 2-D toroidal representations in grid cell ensemble activity during 1-D behavior. Nature Communications. 15(1). 5429–5429. 6 indexed citations

4.

Qiu, Yongrong, David Klindt, Klaudia P. Szatko, et al.. (2023). Efficient coding of natural scenes improves neural system identification. PLoS Computational Biology. 19(4). e1011037–e1011037. 4 indexed citations

5.

Qiu, Yongrong, Zhijian Zhao, David Klindt, et al.. (2021). Natural environment statistics in the upper and lower visual field are reflected in mouse retinal specializations. Current Biology. 31(15). 3233–3247.e6. 42 indexed citations

6.

Zhao, Zhijian, David Klindt, André Maia Chagas, et al.. (2020). The temporal structure of the inner retina at a single glance. Scientific Reports. 10(1). 4399–4399. 16 indexed citations

7.

Klindt, David, Alexander S. Ecker, Thomas Euler, & Matthias Bethge. (2017). Neural system identification for large populations separating “what” and “where”. Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory). 30. 3506–3516. 18 indexed citations

8.

Klindt, David, Alexander S. Ecker, Thomas Euler, & Matthias Bethge. (2017). Neural system identification for large populations separating “what” and “where”. 155–156. 1 indexed citations

9.

Klindt, David, Marie Devaine, & Jean Daunizeau. (2016). Does the way we read others' mind change over the lifespan? Insights from a massive web poll of cognitive skills from childhood to late adulthood. Cortex. 86. 205–215. 32 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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