Till S. Hartmann

443 total citations
11 papers, 231 citations indexed

About

Till S. Hartmann is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Till S. Hartmann has authored 11 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Till S. Hartmann's work include Neural dynamics and brain function (10 papers), Visual perception and processing mechanisms (8 papers) and Face Recognition and Perception (3 papers). Till S. Hartmann is often cited by papers focused on Neural dynamics and brain function (10 papers), Visual perception and processing mechanisms (8 papers) and Face Recognition and Perception (3 papers). Till S. Hartmann collaborates with scholars based in United States, Germany and Netherlands. Till S. Hartmann's co-authors include Margaret S. Livingstone, Carlos R. Ponce, Gabriel Kreiman, Will Xiao, Peter F. Schade, Bart Krekelberg, Richard T. Born, Frank Bremmer, T. D. Albright and Tirin Moore and has published in prestigious journals such as Cell, Journal of Neuroscience and Proceedings of the IEEE.

In The Last Decade

Till S. Hartmann

10 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Till S. Hartmann United States	6	202	38	36	24	21	11	231
Julie Martin United States	3	210 1.0×	34 0.9×	40 1.1×	24 1.0×	6 0.3×	6	241
Makoto Nishizaki Japan	5	261 1.3×	71 1.9×	36 1.0×	41 1.7×	11 0.5×	9	360
Eizaburo Doi United States	9	180 0.9×	47 1.2×	36 1.0×	78 3.3×	12 0.6×	10	245
Will Xiao United States	6	136 0.7×	24 0.6×	34 0.9×	32 1.3×	17 0.8×	8	191
Aran Nayebi United States	8	290 1.4×	61 1.6×	73 2.0×	41 1.7×	28 1.3×	14	360
Santiago A. Cadena Germany	4	154 0.8×	31 0.8×	40 1.1×	16 0.7×	20 1.0×	6	189
Corey M. Ziemba United States	10	452 2.2×	71 1.9×	93 2.6×	30 1.3×	32 1.5×	17	506
Arnulf Graf United States	8	251 1.2×	98 2.6×	27 0.8×	22 0.9×	6 0.3×	11	291
Falko R. Kaule Germany	6	266 1.3×	20 0.5×	29 0.8×	44 1.8×	11 0.5×	8	326
Thomas Z. Lauritzen United States	8	273 1.4×	94 2.5×	11 0.3×	28 1.2×	9 0.4×	11	313

Countries citing papers authored by Till S. Hartmann

Since Specialization

Citations

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

Fields of papers citing papers by Till S. Hartmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Till S. Hartmann. 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 Till S. Hartmann. The network helps show where Till S. Hartmann may publish in the future.

Co-authorship network of co-authors of Till S. Hartmann

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

All Works

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11 of 11 papers shown

Poltoratski, Sonia, et al.. (2024). Informing Machine Perception With Psychophysics [Point of View]. Proceedings of the IEEE. 112(2). 88–96. 2 indexed citations

Gómez-Laberge, Camille, et al.. (2023). Weak evidence for neural correlates of task-switching in macaque V1. Journal of Neurophysiology. 129(5). 1021–1044. 3 indexed citations

Ponce, Carlos R., Will Xiao, Peter F. Schade, et al.. (2019). Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences. Cell. 177(4). 999–1009.e10. 119 indexed citations

Hartmann, Till S., et al.. (2017). Two Types of Receptive Field Dynamics in Area V4 at the Time of Eye Movements?. Frontiers in Systems Neuroscience. 11. 13–13. 21 indexed citations

Ponce, Carlos R., Till S. Hartmann, & Margaret S. Livingstone. (2017). End-Stopping Predicts Curvature Tuning along the Ventral Stream. Journal of Neuroscience. 37(3). 648–659. 2 indexed citations

Ponce, Carlos R., Till S. Hartmann, & Margaret S. Livingstone. (2016). End-Stopping Predicts Curvature Tuning along the Ventral Stream. Journal of Neuroscience. 37(3). 648–659. 31 indexed citations

Born, Richard T., et al.. (2014). Cortical magnification plus cortical plasticity equals vision?. Vision Research. 111(Pt B). 161–169. 16 indexed citations

Hartmann, Till S., et al.. (2014). Motion detection based on recurrent network dynamics. Frontiers in Systems Neuroscience. 8. 239–239. 13 indexed citations

Hartmann, Till S., Frank Bremmer, T. D. Albright, & Bart Krekelberg. (2011). Receptive Field Positions in Area MT during Slow Eye Movements. Journal of Neuroscience. 31(29). 10437–10444. 23 indexed citations

10.

Hartmann, Till S., Frank Bremmer, & Bart Krekelberg. (2010). Perisaccadic response properties of MT neurons. Journal of Vision. 10(7). 511–511. 1 indexed citations

11.

Hartmann, Till S., Frank Bremmer, T. D. Albright, & Bart Krekelberg. (2010). Receptive field shifts in area MT during smooth and rapid eye movements. Journal of Vision. 6(6). 406–406.

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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