Lina Teichmann

650 total citations
19 papers, 283 citations indexed

About

Lina Teichmann is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Lina Teichmann has authored 19 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 8 papers in Experimental and Cognitive Psychology and 4 papers in Social Psychology. Recurrent topics in Lina Teichmann's work include Face Recognition and Perception (7 papers), Multisensory perception and integration (7 papers) and Visual perception and processing mechanisms (6 papers). Lina Teichmann is often cited by papers focused on Face Recognition and Perception (7 papers), Multisensory perception and integration (7 papers) and Visual perception and processing mechanisms (6 papers). Lina Teichmann collaborates with scholars based in Australia, United States and Netherlands. Lina Teichmann's co-authors include Chris I. Baker, Susan G. Wardle, Jessica Taubert, Anina N. Rich, Tijl Grootswagers, Thomas A. Carlson, Charles Zheng, Alexis Kidder, Anna Corriveau and Martin N. Hebart and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Lina Teichmann

17 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lina Teichmann Australia 8 229 61 45 35 20 19 283
Matthew F. Panichello United States 5 357 1.6× 58 1.0× 47 1.0× 10 0.3× 25 1.3× 10 399
Carlos González‐García Spain 12 295 1.3× 54 0.9× 44 1.0× 13 0.4× 22 1.1× 41 345
Son Preminger Israel 9 318 1.4× 84 1.4× 43 1.0× 13 0.4× 25 1.3× 10 369
Niels Trusbak Haumann Denmark 11 313 1.4× 80 1.3× 49 1.1× 11 0.3× 27 1.4× 28 368
Adam N. Phillips Japan 6 356 1.6× 26 0.4× 26 0.6× 31 0.9× 12 0.6× 6 394
Zhiheng Zhou United States 7 237 1.0× 47 0.8× 38 0.8× 17 0.5× 5 0.3× 18 282
Ruben S. van Bergen Netherlands 7 366 1.6× 67 1.1× 24 0.5× 20 0.6× 23 1.1× 10 409
Dustin Stansbury United States 5 349 1.5× 44 0.7× 34 0.8× 90 2.6× 30 1.5× 7 404
Arman Abrahamyan Australia 10 289 1.3× 33 0.5× 23 0.5× 12 0.3× 22 1.1× 14 344
Mads Hansen Denmark 7 263 1.1× 54 0.9× 66 1.5× 15 0.4× 12 0.6× 9 311

Countries citing papers authored by Lina Teichmann

Since Specialization
Citations

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

Fields of papers citing papers by Lina Teichmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Teichmann

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

All Works

19 of 19 papers shown
1.
2.
Curby, Kim M., Lina Teichmann, Mary A. Peterson, & Sarah Shomstein. (2023). Holistic processing is modulated by the probability that parts contain task-congruent information. Attention Perception & Psychophysics. 86(2). 471–481. 1 indexed citations
3.
Hebart, Martin N., Lina Teichmann, Charles Zheng, et al.. (2023). THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior. eLife. 12. 51 indexed citations
4.
Corriveau, Anna, Alexis Kidder, Lina Teichmann, Susan G. Wardle, & Chris I. Baker. (2022). Sustained neural representations of personally familiar people and places during cued recall. Cortex. 158. 71–82. 2 indexed citations
5.
Curby, Kim M. & Lina Teichmann. (2022). The time course of holistic processing is similar for face and non-face Gestalt stimuli. Attention Perception & Psychophysics. 84(4). 1234–1247. 1 indexed citations
6.
Teichmann, Lina, et al.. (2022). The nature of neural object representations during dynamic occlusion. Cortex. 153. 66–86. 5 indexed citations
7.
Teichmann, Lina, et al.. (2022). An Empirically Driven Guide on Using Bayes Factors for M/EEG Decoding. 2022(8). 3 indexed citations
8.
Teichmann, Lina. (2022). An Empirically Driven Guide on Using Bayes Factors for M/EEG Decoding. SHILAP Revista de lepidopterología. 2. 1–10. 21 indexed citations
9.
Teichmann, Lina, et al.. (2021). Resolving visual motion through perceptual gaps. Trends in Cognitive Sciences. 25(11). 978–991. 6 indexed citations
10.
Hebart, Martin N., Lina Teichmann, Alexis Kidder, et al.. (2021). THINGS-fMRI/MEG: A large-scale multimodal neuroimaging dataset of responses to natural object images. Journal of Vision. 21(9). 2633–2633.
11.
Teichmann, Lina, et al.. (2021). Temporal dissociation of neural activity underlying synesthetic and perceptual colors. Proceedings of the National Academy of Sciences. 118(6). 7 indexed citations
12.
Wardle, Susan G., Jessica Taubert, Lina Teichmann, & Chris I. Baker. (2020). Rapid and dynamic processing of face pareidolia in the human brain. Nature Communications. 11(1). 4518–4518. 80 indexed citations
13.
Teichmann, Lina, Genevieve L. Quek, Amanda K. Robinson, et al.. (2020). The Influence of Object-Color Knowledge on Emerging Object Representations in the Brain. Journal of Neuroscience. 40(35). 6779–6789. 21 indexed citations
14.
Teichmann, Lina, Tijl Grootswagers, Thomas A. Carlson, & Anina N. Rich. (2019). Seeing versus knowing: The temporal dynamics of real and implied colour processing in the human brain. NeuroImage. 200. 373–381. 19 indexed citations
15.
Coltheart, Max, Rochelle E. Cox, Paul F. Sowman, et al.. (2018). Belief, delusion, hypnosis, and the right dorsolateral prefrontal cortex: A transcranial magnetic stimulation study. Cortex. 101. 234–248. 35 indexed citations
16.
Teichmann, Lina, Tijl Grootswagers, Thomas A. Carlson, & Anina N. Rich. (2018). Decoding Digits and Dice with Magnetoencephalography: Evidence for a Shared Representation of Magnitude. Journal of Cognitive Neuroscience. 30(7). 999–1010. 17 indexed citations
17.
Teichmann, Lina, Mark Nieuwenstein, & Anina N. Rich. (2017). Digit–color synaesthesia only enhances memory for colors in a specific context: A new method of duration thresholds to measure serial recall.. Journal of Experimental Psychology Human Perception & Performance. 43(8). 1494–1503. 3 indexed citations
18.
Wit, Bianca De, Nicholas A. Badcock, Tijl Grootswagers, et al.. (2017). Neurogaming Technology Meets Neuroscience Education: A Cost-Effective, Scalable, and Highly Portable Undergraduate Teaching Laboratory for Neuroscience.. PubMed. 15(2). A104–A109. 8 indexed citations
19.
Teichmann, Lina, Mark Nieuwenstein, & Anina N. Rich. (2015). Red, green, blue equals 1, 2, 3: Digit-color synesthetes can use structured digit information to boost recall of color sequences. Cognitive Neuroscience. 6(2-3). 100–110. 3 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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