Rosalind Sadleir

1.6k total citations
66 papers, 1.3k citations indexed

About

Rosalind Sadleir is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Surgery. According to data from OpenAlex, Rosalind Sadleir has authored 66 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Electrical and Electronic Engineering, 37 papers in Biomedical Engineering and 15 papers in Surgery. Recurrent topics in Rosalind Sadleir's work include Electrical and Bioimpedance Tomography (49 papers), Microfluidic and Bio-sensing Technologies (14 papers) and Hemodynamic Monitoring and Therapy (13 papers). Rosalind Sadleir is often cited by papers focused on Electrical and Bioimpedance Tomography (49 papers), Microfluidic and Bio-sensing Technologies (14 papers) and Hemodynamic Monitoring and Therapy (13 papers). Rosalind Sadleir collaborates with scholars based in United States, South Korea and Australia. Rosalind Sadleir's co-authors include Barry Gordon, Tracy D. Vannorsdall, David J. Schretlen, Robert N. Holdefer, Michael J. Russell, Eung Je Woo, R.M. Fox, Aprinda Indahlastari, Samuel C. Grant and Kap Jin Kim and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and NeuroImage.

In The Last Decade

Rosalind Sadleir

63 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rosalind Sadleir United States 18 594 511 392 371 240 66 1.3k
I.L. Freeston United Kingdom 15 512 0.9× 502 1.0× 243 0.6× 458 1.2× 112 0.5× 56 1.4k
Kirill Aristovich United Kingdom 17 510 0.9× 386 0.8× 231 0.6× 136 0.4× 31 0.1× 62 899
Azadeh Peyman United Kingdom 15 927 1.6× 1.3k 2.5× 119 0.3× 82 0.2× 186 0.8× 30 1.8k
Leonardo M. Angelone United States 23 216 0.4× 504 1.0× 359 0.9× 120 0.3× 914 3.8× 56 1.5k
Jeffrey Ashe United States 14 177 0.3× 322 0.6× 155 0.4× 240 0.6× 84 0.3× 34 916
Xizi Song China 13 192 0.3× 209 0.4× 175 0.4× 68 0.2× 74 0.3× 57 580
Xiuzhen Dong China 23 1.2k 2.0× 767 1.5× 105 0.3× 27 0.1× 88 0.4× 126 1.5k
Richard Bayford United Kingdom 30 2.4k 4.1× 1.4k 2.8× 277 0.7× 49 0.1× 140 0.6× 163 3.3k
Valerio De Santis Italy 21 1.0k 1.7× 750 1.5× 185 0.5× 262 0.7× 138 0.6× 89 1.8k
Canhua Xu China 19 761 1.3× 447 0.9× 80 0.2× 18 0.0× 54 0.2× 63 980

Countries citing papers authored by Rosalind Sadleir

Since Specialization
Citations

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

Fields of papers citing papers by Rosalind Sadleir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosalind Sadleir

This figure shows the co-authorship network connecting the top 25 collaborators of Rosalind Sadleir. A scholar is included among the top collaborators of Rosalind Sadleir 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 Rosalind Sadleir. Rosalind Sadleir 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.
Sadleir, Rosalind, et al.. (2023). A deep neural network for a hemiarray EIT system. 1(1). 39–60. 2 indexed citations
2.
Guo, Lanjun, et al.. (2023). Transcranial MEP threshold voltages and current densities simulated with finite element modelling. Clinical Neurophysiology. 154. 1–11. 1 indexed citations
3.
Sajib, Saurav Z. K. & Rosalind Sadleir. (2022). Magnetic Resonance Electrical Impedance Tomography. Advances in experimental medicine and biology. 1380. 157–183. 2 indexed citations
4.
Sajib, Saurav Z. K., et al.. (2021). Influence of Transcranial Electrical Stimulation (TES) waveforms on neural excitability of a realistic axon: a simulation study. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 6725–6727. 2 indexed citations
5.
Sajib, Saurav Z. K., et al.. (2020). Low frequency conductivity reconstruction based on a single current injection via MREIT. Physics in Medicine and Biology. 65(22). 225016–225016. 5 indexed citations
6.
Indahlastari, Aprinda, et al.. (2018). Methods to Compare Predicted and Observed Phosphene Experience in tACS Subjects. Neural Plasticity. 2018. 1–10. 14 indexed citations
7.
Indahlastari, Aprinda, et al.. (2016). Projected current density comparison in tDCS block and smooth FE modeling. PubMed. 22. 4079–4082. 1 indexed citations
8.
Weiss, Michael D., et al.. (2016). In vivoquantification of intraventricular hemorrhage in a neonatal piglet model using an EEG-layout based electrical impedance tomography array. Physiological Measurement. 37(6). 751–764. 19 indexed citations
9.
Indahlastari, Aprinda, et al.. (2016). Changing head model extent affects finite element predictions of transcranial direct current stimulation distributions. Journal of Neural Engineering. 13(6). 66006–66006. 19 indexed citations
10.
Seo, Jin Keun, et al.. (2013). The effective admittivity of frequency for anisotropic biological tissue model. 8(1). 155–156.
11.
Sadleir, Rosalind, Saurav Z. K. Sajib, Hyung Joong Kim, Oh In Kwon, & Eung Je Woo. (2013). Simulations and phantom evaluations of magnetic resonance electrical impedance tomography (MREIT) for breast cancer detection. Journal of Magnetic Resonance. 230. 40–49. 16 indexed citations
12.
Fox, R.M., et al.. (2012). Biocompatible, High Precision, Wideband, Improved Howland Current Source With Lead-Lag Compensation. IEEE Transactions on Biomedical Circuits and Systems. 7(1). 63–70. 96 indexed citations
13.
Oh, Tong In, et al.. (2012). Flexible electrode belt for EIT using nanofiber web dry electrodes. Physiological Measurement. 33(10). 1603–1616. 22 indexed citations
14.
Sadleir, Rosalind, Tracy D. Vannorsdall, David J. Schretlen, & Barry Gordon. (2012). Target Optimization in Transcranial Direct Current Stimulation. Frontiers in Psychiatry. 3. 90–90. 72 indexed citations
15.
Tang, Tingfan & Rosalind Sadleir. (2011). Quantification of intraventricular hemorrhage with electrical impedance tomography using a spherical model. Physiological Measurement. 32(7). 811–821. 10 indexed citations
16.
Sadleir, Rosalind, et al.. (2011). The conductivity of neonatal piglet skulls. Physiological Measurement. 32(8). 1275–1283. 11 indexed citations
17.
Tang, Tingfan, Sungho Oh, & Rosalind Sadleir. (2010). A Robust Current Pattern for the Detection of Intraventricular Hemorrhage in Neonates Using Electrical Impedance Tomography. Annals of Biomedical Engineering. 38(8). 2733–2747. 17 indexed citations
18.
Sadleir, Rosalind, et al.. (2009). Detection of intraventricular blood using EIT in a neonatal piglet model. PubMed. 9. 3169–3172. 10 indexed citations
19.
Ross, Edward A., et al.. (2006). Method for detecting the disconnection of an extracorporeal device using a patient's endogenous electrical voltages. Kidney International. 69(12). 2274–2277. 2 indexed citations
20.
Sadleir, Rosalind, et al.. (2006). High field MREIT: setup and tissue phantom imaging at 11 T. Physiological Measurement. 27(5). S261–S270. 21 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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