Katherine L. Perdue

2.1k total citations
37 papers, 1.6k citations indexed

About

Katherine L. Perdue is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Katherine L. Perdue has authored 37 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Cognitive Neuroscience and 14 papers in Biomedical Engineering. Recurrent topics in Katherine L. Perdue's work include Optical Imaging and Spectroscopy Techniques (18 papers), Non-Invasive Vital Sign Monitoring (12 papers) and Functional Brain Connectivity Studies (8 papers). Katherine L. Perdue is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (18 papers), Non-Invasive Vital Sign Monitoring (12 papers) and Functional Brain Connectivity Studies (8 papers). Katherine L. Perdue collaborates with scholars based in United States, United Kingdom and Germany. Katherine L. Perdue's co-authors include Judith D. Schaechter, Douglas N. Greve, David A. Boas, Louis Gagnon, Meryem A. Yücel, Robert J. Cooper, Solomon Diamond, Daniel M. Goldenholz, Charles A. Nelson and Márk Vangel and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and NeuroImage.

In The Last Decade

Katherine L. Perdue

36 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katherine L. Perdue United States 19 1.0k 690 580 205 189 37 1.6k
Sabrina Brigadoi Italy 17 892 0.9× 669 1.0× 627 1.1× 238 1.2× 76 0.4× 67 1.5k
Gérard Crelier Switzerland 18 857 0.8× 656 1.0× 158 0.3× 312 1.5× 126 0.7× 37 1.7k
Marco Taubert Germany 22 478 0.5× 1.2k 1.7× 221 0.4× 98 0.5× 568 3.0× 50 1.9k
Stefan Kleiser Switzerland 12 1.3k 1.3× 486 0.7× 1000 1.7× 295 1.4× 42 0.2× 24 1.8k
Juan Mata Pavia Switzerland 8 1.1k 1.1× 471 0.7× 809 1.4× 273 1.3× 41 0.2× 14 1.8k
Satoru Kohno Japan 6 688 0.7× 827 1.2× 392 0.7× 286 1.4× 185 1.0× 7 1.4k
Kazuhiro Takeo Japan 6 599 0.6× 786 1.1× 297 0.5× 273 1.3× 184 1.0× 8 1.3k
Patrick Jung Germany 20 266 0.3× 644 0.9× 122 0.2× 185 0.9× 463 2.4× 39 1.5k
Hajime Yagura Japan 17 459 0.5× 497 0.7× 361 0.6× 156 0.8× 238 1.3× 32 1.4k
Emanuela Formaggio Italy 25 246 0.2× 963 1.4× 228 0.4× 78 0.4× 449 2.4× 89 1.6k

Countries citing papers authored by Katherine L. Perdue

Since Specialization
Citations

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

Fields of papers citing papers by Katherine L. Perdue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine L. Perdue. 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 Katherine L. Perdue. The network helps show where Katherine L. Perdue may publish in the future.

Co-authorship network of co-authors of Katherine L. Perdue

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine L. Perdue. A scholar is included among the top collaborators of Katherine L. Perdue 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 Katherine L. Perdue. Katherine L. Perdue 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.
Dubois, Julien, et al.. (2025). A functional neuroimaging biomarker of mild cognitive impairment using TD-fNIRS. 1(1). 2 indexed citations
2.
Dehghani, Hamid, Julien Dubois, Viswanath Gopalakrishnan, et al.. (2025). A compact time-domain diffuse optical tomography system for cortical neuroimaging. Imaging Neuroscience. 3. 1 indexed citations
3.
Dubois, Julien, et al.. (2024). Reliability of brain metrics derived from a Time-Domain Functional Near-Infrared Spectroscopy System. Scientific Reports. 14(1). 2 indexed citations
4.
Dubois, Julien, Frank A. Fishburn, Julian Kates‐Harbeck, et al.. (2023). Measuring acute effects of subanesthetic ketamine on cerebrovascular hemodynamics in humans using TD-fNIRS. Scientific Reports. 13(1). 11665–11665. 9 indexed citations
5.
Bick, Johanna, et al.. (2020). The influence of maternal anxiety and depression symptoms on fNIRS brain responses to emotional faces in 5- and 7-month-old infants. Infant Behavior and Development. 59. 101447–101447. 18 indexed citations
6.
7.
Bayet, Laurie, et al.. (2020). Neural responses to happy, fearful and angry faces of varying identities in 5- and 7-month-old infants. Developmental Cognitive Neuroscience. 47. 100882–100882. 10 indexed citations
9.
Bulgarelli, Chiara, Anna Blasi, Luca Pollonini, et al.. (2020). Standardising an infant fNIRS analysis pipeline to investigate neurodevelopment in global health. BM2C.2–BM2C.2. 2 indexed citations
10.
Firk, Christine, et al.. (2018). Motion correction for infant functional near-infrared spectroscopy with an application to live interaction data. Neurophotonics. 5(1). 1–1. 24 indexed citations
11.
McDonald, Nicole M. & Katherine L. Perdue. (2018). The infant brain in the social world: Moving toward interactive social neuroscience with functional near-infrared spectroscopy. Neuroscience & Biobehavioral Reviews. 87. 38–49. 49 indexed citations
12.
Perdue, Katherine L., et al.. (2015). Infants’ neural responses to facial emotion in the prefrontal cortex are correlated with temperament: a functional near-infrared spectroscopy study. Frontiers in Psychology. 6. 922–922. 37 indexed citations
13.
Perdue, Katherine L., Alissa Westerlund, Sarah A. McCormick, & Charles A. Nelson. (2014). Extraction of heart rate from functional near-infrared spectroscopy in infants. Journal of Biomedical Optics. 19(6). 67010–67010. 33 indexed citations
14.
Yrttiaho, Santeri, et al.. (2013). A graphical user interface for infant ERP analysis. Behavior Research Methods. 46(3). 745–757. 11 indexed citations
15.
Gagnon, Louis, Robert J. Cooper, Meryem A. Yücel, et al.. (2011). Short separation channel location impacts the performance of short channel regression in NIRS. NeuroImage. 59(3). 2518–2528. 244 indexed citations
16.
Gagnon, Louis, Meryem A. Yücel, Mathieu Dehaes, et al.. (2011). Quantification of the cortical contribution to the NIRS signal over the motor cortex using concurrent NIRS-fMRI measurements. NeuroImage. 59(4). 3933–3940. 174 indexed citations
17.
Diamond, Solomon, Katherine L. Perdue, & David A. Boas. (2009). A cerebrovascular response model for functional neuroimaging including dynamic cerebral autoregulation. Mathematical Biosciences. 220(2). 102–117. 19 indexed citations
18.
Schaechter, Judith D., Katherine L. Perdue, & Ruopeng Wang. (2007). Structural damage to the corticospinal tract correlates with bilateral sensorimotor cortex reorganization in stroke patients. NeuroImage. 39(3). 1370–1382. 100 indexed citations
19.
Schaechter, Judith D. & Katherine L. Perdue. (2007). Enhanced Cortical Activation in the Contralesional Hemisphere of Chronic Stroke Patients in Response to Motor Skill Challenge. Cerebral Cortex. 18(3). 638–647. 100 indexed citations
20.
Moyerman, S., J. C. Eckert, J. A. Borchers, et al.. (2006). Magnetic structure variations during giant magnetoresistance training in spin valves with picoscale antiferromagnetic layers. Journal of Applied Physics. 99(8). 8 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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