Dave R.M. Langers

2.0k total citations
31 papers, 1.5k citations indexed

About

Dave R.M. Langers is a scholar working on Cognitive Neuroscience, Sensory Systems and Neurology. According to data from OpenAlex, Dave R.M. Langers has authored 31 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 14 papers in Sensory Systems and 8 papers in Neurology. Recurrent topics in Dave R.M. Langers's work include Neural dynamics and brain function (18 papers), Hearing Loss and Rehabilitation (17 papers) and Hearing, Cochlea, Tinnitus, Genetics (13 papers). Dave R.M. Langers is often cited by papers focused on Neural dynamics and brain function (18 papers), Hearing Loss and Rehabilitation (17 papers) and Hearing, Cochlea, Tinnitus, Genetics (13 papers). Dave R.M. Langers collaborates with scholars based in Netherlands, United Kingdom and United States. Dave R.M. Langers's co-authors include Pim van Dijk, Walter H. Backes, Emile de Kleine, Melissa Sàenz, Deborah A. Hall, Alan R. Palmer, Peyman Adjamian, Cris Lanting, Jacobus F.A. Jansen and Remco J. Renken and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Dave R.M. Langers

31 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dave R.M. Langers Netherlands 20 1.2k 772 462 217 114 31 1.5k
Emile de Kleine Netherlands 19 950 0.8× 1.1k 1.4× 755 1.6× 162 0.7× 56 0.5× 42 1.3k
William Sedley United Kingdom 21 1.4k 1.1× 806 1.0× 319 0.7× 332 1.5× 41 0.4× 45 1.6k
Peyman Adjamian United Kingdom 18 908 0.7× 634 0.8× 409 0.9× 124 0.6× 60 0.5× 21 1.1k
Fatima T. Husain United States 24 1.8k 1.5× 1.4k 1.8× 875 1.9× 486 2.2× 137 1.2× 74 2.2k
Janine C. Clarey Australia 21 997 0.8× 345 0.4× 145 0.3× 197 0.9× 56 0.5× 27 1.2k
Kelly C. Harris United States 17 792 0.6× 427 0.6× 121 0.3× 146 0.7× 61 0.5× 43 1.1k
Phillip E. Gander United States 21 1.4k 1.1× 754 1.0× 337 0.7× 289 1.3× 27 0.2× 49 1.6k
A.-L. Giraud France 7 716 0.6× 273 0.4× 141 0.3× 283 1.3× 45 0.4× 9 860
Martin Pienkowski Canada 21 1.0k 0.8× 847 1.1× 246 0.5× 97 0.4× 67 0.6× 34 1.3k
Julien Besle France 17 1.3k 1.0× 234 0.3× 127 0.3× 669 3.1× 94 0.8× 24 1.4k

Countries citing papers authored by Dave R.M. Langers

Since Specialization
Citations

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

Fields of papers citing papers by Dave R.M. Langers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dave R.M. Langers. 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 Dave R.M. Langers. The network helps show where Dave R.M. Langers may publish in the future.

Co-authorship network of co-authors of Dave R.M. Langers

This figure shows the co-authorship network connecting the top 25 collaborators of Dave R.M. Langers. A scholar is included among the top collaborators of Dave R.M. Langers 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 Dave R.M. Langers. Dave R.M. Langers 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.
Koops, Elouise A., et al.. (2022). Cerebellar Gray Matter Volume in Tinnitus. Frontiers in Neuroscience. 16. 862873–862873. 4 indexed citations
2.
Besle, Julien, et al.. (2016). Neuroanatomical Alterations in Tinnitus Assessed with Magnetic Resonance Imaging. Frontiers in Aging Neuroscience. 8. 221–221. 40 indexed citations
3.
Dalenberg, Jelle R., et al.. (2015). Functional specialization of the male insula during taste perception. NeuroImage. 119. 210–220. 47 indexed citations
4.
Langers, Dave R.M., et al.. (2014). Neuroimaging paradigms for tonotopic mapping (II): The influence of acquisition protocol. NeuroImage. 100. 663–675. 13 indexed citations
5.
6.
Lanting, Cris, Emile de Kleine, Dave R.M. Langers, & Pim van Dijk. (2014). Unilateral Tinnitus: Changes in Connectivity and Response Lateralization Measured with fMRI. PLoS ONE. 9(10). e110704–e110704. 57 indexed citations
7.
Langers, Dave R.M., Katrin Krumbholz, Richard Bowtell, & Deborah A. Hall. (2014). Neuroimaging paradigms for tonotopic mapping (I): The influence of sound stimulus type. NeuroImage. 100. 650–662. 16 indexed citations
8.
Langers, Dave R.M.. (2013). Assessment of tonotopically organised subdivisions in human auditory cortex using volumetric and surface‐based cortical alignments. Human Brain Mapping. 35(4). 1544–1561. 19 indexed citations
9.
Langers, Dave R.M., Emile de Kleine, & Pim van Dijk. (2012). Tinnitus does not require macroscopic tonotopic map reorganization. Frontiers in Systems Neuroscience. 6. 2–2. 125 indexed citations
10.
Haak, Koen V., Dave R.M. Langers, Remco J. Renken, et al.. (2012). Abnormal visual field maps in human cortex: A mini-review and a case report. Cortex. 56. 14–25. 26 indexed citations
11.
Langers, Dave R.M. & Jennifer R. Melcher. (2011). Hearing Without Listening: Functional Connectivity Reveals the Engagement of Multiple Nonauditory Networks During Basic Sound Processing. Brain Connectivity. 1(3). 233–244. 23 indexed citations
12.
Ćurĉić‐Blake, Branislava, Marte Swart, Gert J. Ter Horst, et al.. (2011). Variation of the gene coding for DARPP-32 (PPP1R1B) and brain connectivity during associative emotional learning. NeuroImage. 59(2). 1540–1550. 18 indexed citations
13.
Langers, Dave R.M. & Pim van Dijk. (2011). Mapping the Tonotopic Organization in Human Auditory Cortex with Minimally Salient Acoustic Stimulation. Cerebral Cortex. 22(9). 2024–2038. 89 indexed citations
14.
Langers, Dave R.M. & Pim van Dijk. (2011). Robustness of intrinsic connectivity networks in the human brain to the presence of acoustic scanner noise. NeuroImage. 55(4). 1617–1632. 23 indexed citations
15.
Langers, Dave R.M.. (2009). Blind source separation of fMRI data by means of factor analytic transformations. NeuroImage. 47(1). 77–87. 10 indexed citations
16.
Langers, Dave R.M.. (2009). Unbiased group‐level statistical assessment of independent component maps by means of automated retrospective matching. Human Brain Mapping. 31(5). 727–742. 10 indexed citations
17.
Langers, Dave R.M., et al.. (2006). fMRI activation in relation to sound intensity and loudness. NeuroImage. 35(2). 709–718. 87 indexed citations
18.
Langers, Dave R.M., Walter H. Backes, & Pim van Dijk. (2006). Representation of lateralization and tonotopy in primary versus secondary human auditory cortex. NeuroImage. 34(1). 264–273. 69 indexed citations
19.
Langers, Dave R.M., Pim van Dijk, & Walter H. Backes. (2005). Lateralization, connectivity and plasticity in the human central auditory system. NeuroImage. 28(2). 490–499. 117 indexed citations
20.
Langers, Dave R.M., Pim van Dijk, & Walter H. Backes. (2004). Interactions between hemodynamic responses to scanner acoustic noise and auditory stimuli in functional magnetic resonance imaging. Magnetic Resonance in Medicine. 53(1). 49–60. 30 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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