A. Pappa-Louisi

1.8k total citations
84 papers, 1.6k citations indexed

About

A. Pappa-Louisi is a scholar working on Spectroscopy, Analytical Chemistry and Biomedical Engineering. According to data from OpenAlex, A. Pappa-Louisi has authored 84 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Spectroscopy, 46 papers in Analytical Chemistry and 34 papers in Biomedical Engineering. Recurrent topics in A. Pappa-Louisi's work include Analytical Chemistry and Chromatography (63 papers), Chromatography in Natural Products (36 papers) and Microfluidic and Capillary Electrophoresis Applications (26 papers). A. Pappa-Louisi is often cited by papers focused on Analytical Chemistry and Chromatography (63 papers), Chromatography in Natural Products (36 papers) and Microfluidic and Capillary Electrophoresis Applications (26 papers). A. Pappa-Louisi collaborates with scholars based in Greece, Iran and Italy. A. Pappa-Louisi's co-authors include P. Nikitas, P. Agrafiotou, A. Papageorgiou, S. Sotiropoulos, Helen Gika, Georgios Theodoridis, D. Jannakoudakis, E. Georgarakis, Urška Vrhovšek and Fulvio Mattivi and has published in prestigious journals such as Analytical Chemistry, The Journal of Physical Chemistry and Electrochimica Acta.

In The Last Decade

A. Pappa-Louisi

83 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
A. Pappa-Louisi Greece 24 1.2k 857 670 507 153 84 1.6k
J.J. Baeza-Baeza Spain 20 1.0k 0.8× 767 0.9× 488 0.7× 264 0.5× 131 0.9× 81 1.3k
Melvin R. Euerby United Kingdom 26 2.0k 1.6× 823 1.0× 1.4k 2.1× 547 1.1× 162 1.1× 95 2.4k
Debby Mangelings Belgium 31 1.8k 1.5× 801 0.9× 1.3k 2.0× 652 1.3× 164 1.1× 124 2.6k
R.M. Villanueva-Camañas Spain 27 1.5k 1.3× 819 1.0× 612 0.9× 611 1.2× 112 0.7× 85 2.1k
Paweł Mateusz Nowak Poland 22 846 0.7× 1.1k 1.2× 524 0.8× 252 0.5× 115 0.8× 66 2.2k
Patrik Petersson Sweden 22 1.4k 1.2× 673 0.8× 921 1.4× 495 1.0× 147 1.0× 60 1.7k
Cecilia B. Castells Argentina 22 920 0.8× 421 0.5× 553 0.8× 299 0.6× 232 1.5× 79 1.5k
Wes Schafer United States 20 1.0k 0.8× 501 0.6× 509 0.8× 333 0.7× 158 1.0× 36 1.4k
Masami Shibukawa Japan 20 709 0.6× 638 0.7× 462 0.7× 278 0.5× 186 1.2× 109 1.6k
Chadin Kulsing Australia 21 788 0.6× 380 0.4× 706 1.1× 239 0.5× 118 0.8× 92 1.3k

Countries citing papers authored by A. Pappa-Louisi

Since Specialization
Citations

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

Fields of papers citing papers by A. Pappa-Louisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Pappa-Louisi. 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 A. Pappa-Louisi. The network helps show where A. Pappa-Louisi may publish in the future.

Co-authorship network of co-authors of A. Pappa-Louisi

This figure shows the co-authorship network connecting the top 25 collaborators of A. Pappa-Louisi. A scholar is included among the top collaborators of A. Pappa-Louisi 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 A. Pappa-Louisi. A. Pappa-Louisi 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.
Pappa-Louisi, A., et al.. (2019). Separation optimization in HPLC analysis implemented in R programming language. Journal of Chromatography A. 1617. 460823–460823. 10 indexed citations
2.
Sampsonidis, Ioannis, et al.. (2017). QSRR Modeling for Metabolite Standards Analyzed by Two Different Chromatographic Columns Using Multiple Linear Regression. Metabolites. 7(1). 7–7. 24 indexed citations
3.
Sampsonidis, Ioannis, Christina Virgiliou, Georgios Theodoridis, et al.. (2015). Multivariate analysis of chromatographic retention data as a supplementary means for grouping structurally related compounds. Journal of Chromatography A. 1387. 49–52. 6 indexed citations
4.
Gika, Helen, et al.. (2015). Retention prediction and separation optimization under multilinear gradient elution in liquid chromatography with Microsoft Excel macros. Journal of Chromatography A. 1395. 109–115. 15 indexed citations
5.
6.
Nikitas, P., et al.. (2012). A principal component analysis approach for developing retention models in liquid chromatography. Journal of Chromatography A. 1251. 134–140. 4 indexed citations
7.
Gika, Helen, Georgios Theodoridis, Fulvio Mattivi, Urška Vrhovšek, & A. Pappa-Louisi. (2012). Retention prediction of a set of amino acids under gradient elution conditions in hydrophilic interaction liquid chromatography. Journal of Separation Science. 35(3). 376–383. 17 indexed citations
8.
Pappa-Louisi, A., et al.. (2011). Retention prediction in reversed‐phase liquid chromatography systems with methanol/water mobile phases containing different alkanols as additives. Journal of Separation Science. 34(3). 255–259. 3 indexed citations
9.
10.
Pappa-Louisi, A., et al.. (2010). Retention modeling under organic modifier gradient conditions in ion-pair reversed-phase chromatography. Analytical and Bioanalytical Chemistry. 1 indexed citations
11.
Jouyban, Abolghasem, et al.. (2009). Modeling the effects of different mobile phase compositions and temperatures on the retention of various analytes in HPLC. Journal of Separation Science. 32(22). 3898–3905. 4 indexed citations
12.
Pappa-Louisi, A., et al.. (2008). Modeling the combined effect of temperature and organic modifier content on reversed-phase chromatographic retention. Journal of Chromatography A. 1201(1). 27–34. 31 indexed citations
13.
Pappa-Louisi, A., et al.. (2008). Combined effect of temperature and organic modifier concentration on the retention under single mode gradient conditions in reversed‐phase HPLC. Journal of Separation Science. 31(16-17). 2953–2961. 12 indexed citations
14.
15.
Pappa-Louisi, A., et al.. (2007). Fundamental Equation of Dual-Mode Gradient Elution in Liquid Chromatography Involving Simultaneous Changes in Flow Rate and Mobile-Phase Composition. Analytical Chemistry. 79(10). 3888–3893. 13 indexed citations
16.
Pappa-Louisi, A., et al.. (2004). Two- and three-parameter equations for representation of retention data in reversed-phase liquid chromatography. Journal of Chromatography A. 1033(1). 29–41. 54 indexed citations
17.
Nikitas, P., et al.. (2004). Optimisation technique for stepwise gradient elution in reversed-phase liquid chromatography. Journal of Chromatography A. 1033(2). 283–289. 46 indexed citations
18.
19.
Tsimidou, María Z., et al.. (1996). On the determination of minor phenolic acids of virgin olive oil by RP-HPLC. Grasas y Aceites. 47(3). 151–157. 38 indexed citations
20.
Pappa-Louisi, A., et al.. (1994). Phase transformations at the Hg/aqueous solution interface in the presence of cetyltrimethylammonium cations. Electrochimica Acta. 39(3). 375–383. 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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