Andreas Bahmer

583 total citations
32 papers, 355 citations indexed

About

Andreas Bahmer is a scholar working on Cognitive Neuroscience, Sensory Systems and Signal Processing. According to data from OpenAlex, Andreas Bahmer has authored 32 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 13 papers in Sensory Systems and 10 papers in Signal Processing. Recurrent topics in Andreas Bahmer's work include Hearing Loss and Rehabilitation (21 papers), Hearing, Cochlea, Tinnitus, Genetics (13 papers) and Neural dynamics and brain function (11 papers). Andreas Bahmer is often cited by papers focused on Hearing Loss and Rehabilitation (21 papers), Hearing, Cochlea, Tinnitus, Genetics (13 papers) and Neural dynamics and brain function (11 papers). Andreas Bahmer collaborates with scholars based in Germany, Austria and United States. Andreas Bahmer's co-authors include Uwe Baumann, Daya S. Gupta, Gerald Langner, Youssef Adel, Marek Polák, Silke Helbig, Tobias Rader, Christiane Thielemann, Urs‐Vito Albrecht and Rudolf Hagen and has published in prestigious journals such as PLoS Computational Biology, Neural Computation and Frontiers in Neuroscience.

In The Last Decade

Andreas Bahmer

30 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Bahmer Germany 12 311 169 78 61 54 32 355
Randy K. Kalkman Netherlands 10 442 1.4× 319 1.9× 113 1.4× 35 0.6× 42 0.8× 18 473
Stefan Brill Germany 11 358 1.2× 213 1.3× 51 0.7× 16 0.3× 36 0.7× 19 437
Alain Sigrist Switzerland 9 397 1.3× 291 1.7× 102 1.3× 44 0.7× 42 0.8× 12 485
Christine P. Etler United States 9 332 1.1× 248 1.5× 30 0.4× 19 0.3× 30 0.6× 14 349
Ingeborg Hochmair Austria 11 437 1.4× 321 1.9× 109 1.4× 34 0.6× 77 1.4× 22 524
Lieber Po‐Hung Li Taiwan 12 322 1.0× 173 1.0× 65 0.8× 39 0.6× 12 0.2× 38 394
R. Hollow Australia 9 418 1.3× 245 1.4× 93 1.2× 18 0.3× 47 0.9× 16 455
Alexis T. Roy United States 10 424 1.4× 143 0.8× 79 1.0× 62 1.0× 24 0.4× 15 461
Amy P. Olund United States 9 312 1.0× 221 1.3× 59 0.8× 13 0.2× 55 1.0× 13 352
Patrick Boyle United Kingdom 10 333 1.1× 179 1.1× 74 0.9× 11 0.2× 28 0.5× 30 370

Countries citing papers authored by Andreas Bahmer

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Bahmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Bahmer

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Bahmer. A scholar is included among the top collaborators of Andreas Bahmer 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 Andreas Bahmer. Andreas Bahmer 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.
Gupta, Daya S., et al.. (2024). Neural coding of space by time. Biological Cybernetics. 118(3-4). 215–227.
2.
Bahmer, Andreas, et al.. (2024). Convolutional neural networks can identify brain interactions involved in decoding spatial auditory attention. PLoS Computational Biology. 20(8). e1012376–e1012376.
3.
4.
5.
Bahmer, Andreas, et al.. (2018). Total spiking probability edges: A cross-correlation based method for effective connectivity estimation of cortical spiking neurons. Journal of Neuroscience Methods. 312. 169–181. 17 indexed citations
6.
Bahmer, Andreas & Daya S. Gupta. (2018). Role of Oscillations in Auditory Temporal Processing: A General Model for Temporal Processing of Sensory Information in the Brain?. Frontiers in Neuroscience. 12. 793–793. 5 indexed citations
7.
Isomura, Takuya, et al.. (2017). Spike-contrast: A novel time scale independent and multivariate measure of spike train synchrony. Journal of Neuroscience Methods. 293. 136–143. 6 indexed citations
8.
Bahmer, Andreas, et al.. (2017). Evaluation of an artifact reduction strategy for electrically evoked auditory steady-state responses: Simulations and measurements. Journal of Neuroscience Methods. 296. 57–68. 8 indexed citations
9.
Bahmer, Andreas & Uwe Baumann. (2015). A setup for simultaneous measurement of electrophysiological and psychometric temporal encoding in the auditory system. Journal of Neuroscience Methods. 249. 50–58. 1 indexed citations
10.
Bahmer, Andreas & Uwe Baumann. (2014). Psychometric function of jittered rate pitch discrimination. Hearing Research. 313. 47–54. 3 indexed citations
11.
Bahmer, Andreas & Uwe Baumann. (2011). Application of triphasic pulses with adjustable phase amplitude ratio (PAR) for cochlear ECAP recording: I. Amplitude growth functions. Journal of Neuroscience Methods. 205(1). 202–211. 16 indexed citations
12.
Baumann, Uwe, Tobias Rader, Silke Helbig, & Andreas Bahmer. (2011). Pitch Matching Psychometrics in Electric Acoustic Stimulation. Ear and Hearing. 32(5). 656–662. 16 indexed citations
13.
Bahmer, Andreas & Uwe Baumann. (2011). Application of triphasic pulses with adjustable phase amplitude ratio (PAR) for cochlear ECAP recording: II. Recovery functions. Journal of Neuroscience Methods. 205(1). 212–220. 10 indexed citations
14.
Bahmer, Andreas & Uwe Baumann. (2009). Recording and online analysis of auditory steady state responses (ASSR) in Matlab. Journal of Neuroscience Methods. 187(1). 105–113. 3 indexed citations
15.
Bahmer, Andreas & Gerald Langner. (2009). Parameters for a model of an oscillating neuronal network in the cochlear nucleus defined by genetic algorithms. Biological Cybernetics. 102(1). 81–93. 2 indexed citations
16.
Bahmer, Andreas, Marek Polák, & Uwe Baumann. (2009). Recording of electrically evoked auditory brainstem responses after electrical stimulation with biphasic, triphasic and precision triphasic pulses. Hearing Research. 259(1-2). 75–85. 26 indexed citations
17.
Helbig, Silke, Tobias Rader, Andreas Bahmer, & Uwe Baumann. (2008). A case of bilateral cochlear implantation in single-sided untreated acoustic neurinoma. Acta Oto-Laryngologica. 129(6). 694–696. 11 indexed citations
18.
Bahmer, Andreas, et al.. (2008). Recording of electrically evoked auditory brainstem responses (E-ABR) with an integrated stimulus generator in Matlab. Journal of Neuroscience Methods. 173(2). 306–314. 23 indexed citations
19.
Bahmer, Andreas & Gerald Langner. (2008). A simulation of chopper neurons in the cochlear nucleus with wideband input from onset neurons. Biological Cybernetics. 100(1). 21–33. 6 indexed citations
20.
Bahmer, Andreas & Gerald Langner. (2006). Oscillating neurons in the cochlear nucleus: II. Simulation results. Biological Cybernetics. 95(4). 381–392. 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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