Amanda E. Sinha

411 total citations
7 papers, 344 citations indexed

About

Amanda E. Sinha is a scholar working on Spectroscopy, Biomedical Engineering and Analytical Chemistry. According to data from OpenAlex, Amanda E. Sinha has authored 7 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Spectroscopy, 7 papers in Biomedical Engineering and 3 papers in Analytical Chemistry. Recurrent topics in Amanda E. Sinha's work include Advanced Chemical Sensor Technologies (7 papers), Analytical Chemistry and Chromatography (7 papers) and Spectroscopy and Chemometric Analyses (3 papers). Amanda E. Sinha is often cited by papers focused on Advanced Chemical Sensor Technologies (7 papers), Analytical Chemistry and Chromatography (7 papers) and Spectroscopy and Chemometric Analyses (3 papers). Amanda E. Sinha collaborates with scholars based in United States. Amanda E. Sinha's co-authors include Robert E. Synovec, Bryan J. Prazen, Carlos G. Fraga, Janiece L. Hope, Erik Nilsson, Rhona M. Jack, Kevin Johnson and Samuel V. Lucas and has published in prestigious journals such as Journal of Chromatography A and Analytical and Bioanalytical Chemistry.

In The Last Decade

Amanda E. Sinha

7 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amanda E. Sinha United States 7 303 202 177 107 20 7 344
Carsten A. Bruckner United States 8 379 1.3× 294 1.5× 193 1.1× 67 0.6× 8 0.4× 10 438
Aiqin Fang United States 10 252 0.8× 194 1.0× 81 0.5× 221 2.1× 18 0.9× 11 395
Sarah Porter United States 5 395 1.3× 214 1.1× 262 1.5× 179 1.7× 19 0.9× 10 461
A.C.J.H. Drouen Netherlands 8 376 1.2× 228 1.1× 293 1.7× 73 0.7× 12 0.6× 10 433
Zaiyou Liu United States 10 423 1.4× 374 1.9× 208 1.2× 75 0.7× 13 0.7× 15 519
Alan Handley United Kingdom 12 169 0.6× 84 0.4× 121 0.7× 67 0.6× 24 1.2× 14 303
John Madden Australia 10 315 1.0× 165 0.8× 201 1.1× 119 1.1× 7 0.3× 13 452
Mario Ursem Netherlands 12 530 1.7× 472 2.3× 140 0.8× 169 1.6× 15 0.8× 16 710
Brendon A. Parsons United States 10 258 0.9× 207 1.0× 103 0.6× 111 1.0× 27 1.4× 13 344
V. L. McGuffin United States 8 304 1.0× 256 1.3× 106 0.6× 43 0.4× 6 0.3× 8 352

Countries citing papers authored by Amanda E. Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Amanda E. Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda E. Sinha. 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 Amanda E. Sinha. The network helps show where Amanda E. Sinha may publish in the future.

Co-authorship network of co-authors of Amanda E. Sinha

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

All Works

7 of 7 papers shown
1.
Hope, Janiece L., Amanda E. Sinha, Bryan J. Prazen, & Robert E. Synovec. (2005). Evaluation of the DotMap algorithm for locating analytes of interest based on mass spectral similarity in data collected using comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry. Journal of Chromatography A. 1086(1-2). 185–192. 24 indexed citations
2.
Sinha, Amanda E., Bryan J. Prazen, & Robert E. Synovec. (2004). Trends in chemometric analysis of comprehensive two-dimensional separations. Analytical and Bioanalytical Chemistry. 378(8). 1948–1951. 34 indexed citations
3.
Sinha, Amanda E., Janiece L. Hope, Bryan J. Prazen, et al.. (2004). Algorithm for locating analytes of interest based on mass spectral similarity in GC × GC–TOF-MS data: analysis of metabolites in human infant urine. Journal of Chromatography A. 1058(1-2). 209–215. 60 indexed citations
4.
Sinha, Amanda E., Janiece L. Hope, Bryan J. Prazen, et al.. (2004). Multivariate selectivity as a metric for evaluating comprehensive two-dimensional gas chromatography–time-of-flight mass spectrometry subjected to chemometric peak deconvolution. Journal of Chromatography A. 1056(1-2). 145–154. 53 indexed citations
5.
Sinha, Amanda E., Carlos G. Fraga, Bryan J. Prazen, & Robert E. Synovec. (2003). Trilinear chemometric analysis of two-dimensional comprehensive gas chromatography–time-of-flight mass spectrometry data. Journal of Chromatography A. 1027(1-2). 269–277. 86 indexed citations
6.
Sinha, Amanda E., Bryan J. Prazen, Carlos G. Fraga, & Robert E. Synovec. (2003). Valve-based comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometric detection: instrumentation and figures-of-merit. Journal of Chromatography A. 1019(1-2). 79–87. 40 indexed citations
7.
Sinha, Amanda E., Kevin Johnson, Bryan J. Prazen, et al.. (2002). Comprehensive two-dimensional gas chromatography of volatile and semi-volatile components using a diaphragm valve-based instrument. Journal of Chromatography A. 983(1-2). 195–204. 47 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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