Heike Elchlepp

410 total citations
18 papers, 310 citations indexed

About

Heike Elchlepp is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Heike Elchlepp has authored 18 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 3 papers in Artificial Intelligence and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Heike Elchlepp's work include Neural and Behavioral Psychology Studies (13 papers), Neural dynamics and brain function (6 papers) and Face Recognition and Perception (6 papers). Heike Elchlepp is often cited by papers focused on Neural and Behavioral Psychology Studies (13 papers), Neural dynamics and brain function (6 papers) and Face Recognition and Perception (6 papers). Heike Elchlepp collaborates with scholars based in United Kingdom, United States and Belgium. Heike Elchlepp's co-authors include Aureliu Lavric, Frederick Verbruggen, Stephen Monsell, Kathleen Rastle, Chris Chambers, Guy A. Mizon, Rossy McLaren, Ian P. L. McLaren, Carl Michael Galang and I.P.L. McLaren and has published in prestigious journals such as Psychological Science, Neuropsychologia and Journal of Experimental Psychology Human Perception & Performance.

In The Last Decade

Heike Elchlepp

18 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heike Elchlepp United Kingdom 11 277 78 55 26 21 18 310
Tessa Rusch Germany 9 271 1.0× 24 0.3× 58 1.1× 14 0.5× 34 1.6× 15 323
Maxine T. Sherman United Kingdom 7 219 0.8× 35 0.4× 72 1.3× 6 0.2× 20 1.0× 12 294
Nabil Hasshim United Kingdom 11 310 1.1× 47 0.6× 131 2.4× 11 0.4× 46 2.2× 19 345
Patrycja Kałamała Poland 11 246 0.9× 92 1.2× 56 1.0× 4 0.2× 23 1.1× 18 306
Bihua Cao China 12 352 1.3× 95 1.2× 96 1.7× 10 0.4× 46 2.2× 46 427
Sofie V. Gelskov Denmark 7 221 0.8× 47 0.6× 52 0.9× 9 0.3× 30 1.4× 7 304
Esther De Loof Belgium 12 304 1.1× 28 0.4× 46 0.8× 9 0.3× 45 2.1× 16 338
Herbert Hagendorf Germany 12 292 1.1× 41 0.5× 85 1.5× 5 0.2× 42 2.0× 26 353
Jorge Morales United States 9 281 1.0× 35 0.4× 75 1.4× 10 0.4× 31 1.5× 21 352
Michel D. Druey Germany 14 446 1.6× 90 1.2× 148 2.7× 9 0.3× 74 3.5× 18 525

Countries citing papers authored by Heike Elchlepp

Since Specialization
Citations

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

Fields of papers citing papers by Heike Elchlepp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heike Elchlepp

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

All Works

18 of 18 papers shown
1.
Elchlepp, Heike, et al.. (2021). Serial or parallel proactive control of components of task-set? A task-switching investigation with concurrent EEG and eye-tracking. Neuropsychologia. 160. 107984–107984. 3 indexed citations
2.
Elchlepp, Heike, Stephen Monsell, & Aureliu Lavric. (2021). How Task Set and Task Switching Modulate Perceptual Processes: Is Recognition of Facial Emotion an Exception?. Journal of Cognition. 4(1). 36–36. 6 indexed citations
3.
Liu, Xin, Rossy McLaren, Heike Elchlepp, et al.. (2019). The effect of tDCS on recognition depends on stimulus generalization: Neuro-stimulation can predictably enhance or reduce the face inversion effect.. Journal of Experimental Psychology Animal Learning and Cognition. 46(1). 83–98. 9 indexed citations
4.
Lavric, Aureliu, et al.. (2018). Is preparing for a language switch like preparing for a task switch?. Journal of Experimental Psychology Learning Memory and Cognition. 45(7). 1224–1233. 18 indexed citations
5.
Elchlepp, Heike, et al.. (2018). The effect of scrambling upright and inverted faces on the N170. Quarterly Journal of Experimental Psychology. 71(11). 2464–2476. 28 indexed citations
6.
Elchlepp, Heike, Maisy Best, Aureliu Lavric, & Stephen Monsell. (2017). Shifting Attention Between Visual Dimensions as a Source of Switch Costs. Psychological Science. 28(4). 470–481. 14 indexed citations
7.
Elchlepp, Heike, Aureliu Lavric, Chris Chambers, & Frederick Verbruggen. (2016). Proactive inhibitory control: A general biasing account. Cognitive Psychology. 86. 27–61. 63 indexed citations
8.
Elchlepp, Heike & Frederick Verbruggen. (2016). How to withhold or replace a prepotent response: An analysis of the underlying control processes and their temporal dynamics. Biological Psychology. 123. 250–268. 12 indexed citations
9.
Elchlepp, Heike, Aureliu Lavric, & Stephen Monsell. (2015). A change of task prolongs early processes: Evidence from ERPs in lexical tasks.. Journal of Experimental Psychology General. 144(2). 299–325. 15 indexed citations
10.
Rastle, Kathleen, Aureliu Lavric, Heike Elchlepp, & Davide Crepaldi. (2015). Processing differences across regular and irregular inflections revealed through ERPs.. Journal of Experimental Psychology Human Perception & Performance. 41(3). 747–760. 10 indexed citations
11.
Parmentier, Fabrice B. R., et al.. (2015). Reorienting the mind: The impact of novel sounds on go/no-go performance.. Journal of Experimental Psychology Human Perception & Performance. 41(5). 1197–1202. 13 indexed citations
12.
Zhao, Di, et al.. (2013). Perceptual learning and inversion effects: Recognition of prototype-defined familiar checkerboards.. Journal of Experimental Psychology Animal Learning and Cognition. 40(2). 144–161. 22 indexed citations
13.
Elchlepp, Heike, Freya Rumball, & Aureliu Lavric. (2013). A brain‐potential correlate of task‐set conflict. Psychophysiology. 50(3). 314–323. 8 indexed citations
14.
Elchlepp, Heike, et al.. (2012). Face recognition and brain potentials: Disruption of configural information reduces the face inversion effect.. Cognitive Science. 34(34). 3 indexed citations
15.
Elchlepp, Heike, et al.. (2012). Task switching without knowledge of the tasks.. Cognitive Science. 34(34). 2 indexed citations
16.
Elchlepp, Heike, et al.. (2012). The face inversion effect and evoked brain potentials: Complete loss of configural information affects the N170. Cognitive Science. 34(34). 4 indexed citations
17.
Lavric, Aureliu, Heike Elchlepp, & Kathleen Rastle. (2012). Tracking hierarchical processing in morphological decomposition with brain potentials.. Journal of Experimental Psychology Human Perception & Performance. 38(4). 811–816. 53 indexed citations
18.
Elchlepp, Heike, Aureliu Lavric, Guy A. Mizon, & Stephen Monsell. (2011). A brain‐potential study of preparation for and execution of a task‐switch with stimuli that afford only the relevant task. Human Brain Mapping. 33(5). 1137–1154. 27 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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