J. Hohnsbein

7.5k total citations · 3 hit papers
59 papers, 6.1k citations indexed

About

J. Hohnsbein is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, J. Hohnsbein has authored 59 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cognitive Neuroscience, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in J. Hohnsbein's work include Neural and Behavioral Psychology Studies (20 papers), Neural dynamics and brain function (19 papers) and EEG and Brain-Computer Interfaces (19 papers). J. Hohnsbein is often cited by papers focused on Neural and Behavioral Psychology Studies (20 papers), Neural dynamics and brain function (19 papers) and EEG and Brain-Computer Interfaces (19 papers). J. Hohnsbein collaborates with scholars based in Germany, Bulgaria and Czechia. J. Hohnsbein's co-authors include Michael Falkenstein, Jörg Hoormann, S Mateeff, Nele Wild–Wall, Juliana Yordanova, Vasil Kolev, H Hielscher, Rita Willemssen, Thomas Kleinsorge and Thomas Noack and has published in prestigious journals such as NeuroImage, The Journal of Physiology and Brain Research.

In The Last Decade

J. Hohnsbein

58 papers receiving 6.0k citations

Hit Papers

Effects of crossmodal divided attention on late ERP compo... 1991 2026 2002 2014 1991 2000 1999 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Hohnsbein Germany 28 5.5k 1.3k 628 589 463 59 6.1k
Jörg Hoormann Germany 22 4.7k 0.9× 1.1k 0.9× 584 0.9× 508 0.9× 443 1.0× 35 5.3k
Albert Kok Netherlands 39 6.5k 1.2× 1.7k 1.3× 911 1.5× 777 1.3× 496 1.1× 72 7.7k
Guido P. H. Band Netherlands 31 3.9k 0.7× 1.2k 0.9× 686 1.1× 588 1.0× 423 0.9× 68 5.1k
Joseph Dien United States 28 4.3k 0.8× 1.2k 0.9× 328 0.5× 511 0.9× 468 1.0× 44 5.0k
Phan Luu United States 27 4.2k 0.8× 983 0.8× 460 0.7× 471 0.8× 416 0.9× 74 5.0k
Daniel H. Weissman United States 36 4.8k 0.9× 1.5k 1.1× 527 0.8× 454 0.8× 241 0.5× 95 5.5k
Rolf Verleger Germany 46 7.1k 1.3× 1.4k 1.1× 587 0.9× 685 1.2× 200 0.4× 151 8.0k
Wery P. M. van den Wildenberg Netherlands 43 4.1k 0.8× 963 0.7× 775 1.2× 888 1.5× 654 1.4× 101 6.2k
Redmond G O’Connell Ireland 37 4.6k 0.8× 896 0.7× 656 1.0× 460 0.8× 223 0.5× 81 5.3k
Patrick Berg Germany 35 5.9k 1.1× 1.0k 0.8× 604 1.0× 398 0.7× 233 0.5× 58 6.7k

Countries citing papers authored by J. Hohnsbein

Since Specialization
Citations

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

Fields of papers citing papers by J. Hohnsbein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Hohnsbein

This figure shows the co-authorship network connecting the top 25 collaborators of J. Hohnsbein. A scholar is included among the top collaborators of J. Hohnsbein 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 J. Hohnsbein. J. Hohnsbein 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.
Willemssen, Rita, Tobias Müller, Michael Schwarz, J. Hohnsbein, & Michael Falkenstein. (2008). Error processing in patients with Parkinson’s disease: the influence of medication state. Journal of Neural Transmission. 115(3). 461–468. 49 indexed citations
2.
Hohnsbein, J., et al.. (2007). Perceived global direction of a compound of real and apparent motion. Vision Research. 47(11). 1455–1463. 1 indexed citations
3.
Wild–Wall, Nele, J. Hohnsbein, & Michael Falkenstein. (2007). Effects of ageing on cognitive task preparation as reflected by event-related potentials. Clinical Neurophysiology. 118(3). 558–569. 49 indexed citations
4.
Falkenstein, Michael, Rita Willemssen, J. Hohnsbein, & H Hielscher. (2006). Effects of stimulus-response compatibility in Parkinson’s disease: a psychophysiological analysis. Journal of Neural Transmission. 113(10). 1449–1462. 42 indexed citations
5.
Willemssen, Rita, et al.. (2004). Central and parietal event‐related lateralizations in a flanker task. Psychophysiology. 41(5). 762–771. 24 indexed citations
6.
Hohnsbein, J. & S Mateeff. (2002). Speed decrements are seen better than increments through small apertures. Experimental Brain Research. 142(3). 434–438. 5 indexed citations
7.
Falkenstein, Michael, Jörg Hoormann, & J. Hohnsbein. (2001). Changes of error-related ERPs with age. Experimental Brain Research. 138(2). 258–262. 145 indexed citations
8.
Mateeff, S, et al.. (2000). The discrimination of abrupt changes in speed and direction of visual motion. Vision Research. 40(4). 409–415. 25 indexed citations
9.
Falkenstein, Michael, et al.. (2000). ERP components on reaction errors and their functional significance: a tutorial. Biological Psychology. 51(2-3). 87–107. 1178 indexed citations breakdown →
10.
Mateeff, S, et al.. (1999). The simple reaction time to changes in direction of visual motion. Experimental Brain Research. 124(3). 391–394. 12 indexed citations
11.
Hohnsbein, J. & S Mateeff. (1998). The time it takes to detect changes in speed and direction of visual motion. Vision Research. 38(17). 2569–2573. 27 indexed citations
12.
Hohnsbein, J., Michael Falkenstein, & Jörg Hoormann. (1998). Performance differences in reaction tasks are reflected in event-related brain potentials (ERPs). Ergonomics. 41(5). 622–633. 37 indexed citations
13.
Hoormann, Jörg, et al.. (1997). A method to improve the latency estimation of the frequency-following potential (FFP). Electroencephalography and Clinical Neurophysiology. 103(2). 326–329. 1 indexed citations
14.
Mateeff, S, Георги Димитров, & J. Hohnsbein. (1995). Temporal thresholds and reaction time to changes in velocity of visual motion. Vision Research. 35(3). 355–363. 26 indexed citations
15.
Falkenstein, Michael, J. Hohnsbein, & Jörg Hoormann. (1994). Time pressure effects on late components of the event-related potential (ERP).. Journal of Psychophysiology. 46 indexed citations
16.
Falkenstein, Michael, J. Hohnsbein, & Jörg Hoormann. (1993). Late visual and auditory ERP components and choice reaction time. Biological Psychology. 35(3). 201–224. 62 indexed citations
17.
Hoormann, Jörg, et al.. (1992). The human frequency-following response (FFR): Normal variability and relation to the click-evoked brainstem response. Hearing Research. 59(2). 179–188. 64 indexed citations
18.
Mateeff, S, N Yakimoff, J. Hohnsbein, et al.. (1991). Selective directional sensitivity in visual motion perception. Vision Research. 31(1). 131–138. 43 indexed citations
19.
Mateeff, S, Z Bohdanecký, J. Hohnsbein, Walter H. Ehrenstein, & N Yakimoff. (1991). A constant latency difference determines directional anisotropy in visual motion perception. Vision Research. 31(12). 2235–2237. 19 indexed citations
20.
Mateeff, S & J. Hohnsbein. (1988). Perceptual latencies are shorter for motion towards the fovea than for motion away. Vision Research. 28(6). 711–719. 72 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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