Eduardo J. Marchevsky

992 total citations
47 papers, 782 citations indexed

About

Eduardo J. Marchevsky is a scholar working on Analytical Chemistry, Food Science and Biomedical Engineering. According to data from OpenAlex, Eduardo J. Marchevsky has authored 47 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Analytical Chemistry, 15 papers in Food Science and 9 papers in Biomedical Engineering. Recurrent topics in Eduardo J. Marchevsky's work include Heavy Metals in Plants (16 papers), Advanced Chemical Sensor Technologies (9 papers) and Spectroscopy and Chemometric Analyses (7 papers). Eduardo J. Marchevsky is often cited by papers focused on Heavy Metals in Plants (16 papers), Advanced Chemical Sensor Technologies (9 papers) and Spectroscopy and Chemometric Analyses (7 papers). Eduardo J. Marchevsky collaborates with scholars based in Argentina, Italy and China. Eduardo J. Marchevsky's co-authors include José M. Camiña, Roberto G. Pellerano, Miguel Á. Cantarelli, Silvana M. Azcarate, Valeria A. Lozano, Carlos Alberto Moldes, Elisa M. Petenatti, Nora Lilian Escudero, Juan M. Luco and Alejandra B. Camargo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Eduardo J. Marchevsky

45 papers receiving 751 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eduardo J. Marchevsky Argentina 19 342 208 193 153 147 47 782
Roberto G. Pellerano Argentina 19 370 1.1× 211 1.0× 264 1.4× 156 1.0× 200 1.4× 45 913
José M. Camiña Argentina 21 504 1.5× 400 1.9× 198 1.0× 272 1.8× 190 1.3× 66 1.1k
Kateřina Riddellová Czechia 18 283 0.8× 386 1.9× 136 0.7× 237 1.5× 297 2.0× 20 1.0k
M. Martín Spain 21 238 0.7× 275 1.3× 226 1.2× 124 0.8× 128 0.9× 37 983
Marı́a T. Martı́n Spain 17 199 0.6× 384 1.8× 405 2.1× 92 0.6× 125 0.9× 37 878
Miguel Á. Cantarelli Argentina 13 173 0.5× 133 0.6× 166 0.9× 94 0.6× 59 0.4× 19 431
Tomasz Chmiel Poland 15 103 0.3× 259 1.2× 118 0.6× 159 1.0× 132 0.9× 22 755
Eduardo Morgado Schmidt Brazil 15 142 0.4× 370 1.8× 276 1.4× 104 0.7× 110 0.7× 23 874
Martin Alewijn Netherlands 21 347 1.0× 390 1.9× 67 0.3× 346 2.3× 400 2.7× 47 1.1k
Ivan Špánik Slovakia 19 265 0.8× 392 1.9× 76 0.4× 388 2.5× 236 1.6× 92 1.1k

Countries citing papers authored by Eduardo J. Marchevsky

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo J. Marchevsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eduardo J. Marchevsky. 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 Eduardo J. Marchevsky. The network helps show where Eduardo J. Marchevsky may publish in the future.

Co-authorship network of co-authors of Eduardo J. Marchevsky

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo J. Marchevsky. A scholar is included among the top collaborators of Eduardo J. Marchevsky 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 Eduardo J. Marchevsky. Eduardo J. Marchevsky 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.
Cantarelli, Miguel Á., Carlos Alberto Moldes, Eduardo J. Marchevsky, Silvana M. Azcarate, & José M. Camiña. (2020). Low-cost analytic method for the identification of Cinnamon adulteration. Microchemical Journal. 159. 105513–105513. 36 indexed citations
2.
Marchevsky, Eduardo J., et al.. (2019). Assessment of pumpkin (Cucurbita sp.), poppy (Papaver somniferum L) and sunflower (Heliantus annus L) seeds based on their mineral profile. Conicet. 3(4). 243–250. 3 indexed citations
3.
Mohamed, Fabián, et al.. (2019). A soybean-based diet modulates cadmium-induced vascular apoptosis. Journal of Trace Elements in Medicine and Biology. 52. 239–246. 5 indexed citations
4.
Petenatti, Elisa M., et al.. (2018). Nutritional parameters of "mate cocido" with milk prepared from two species of Ilex and their commercial mixture for school age population. SHILAP Revista de lepidopterología. 1 indexed citations
5.
Marchevsky, Eduardo J., et al.. (2016). Determining the geographical origin of Sechium edule fruits by multielement analysis and advanced chemometric techniques. Food Chemistry. 210. 228–234. 36 indexed citations
6.
Marchevsky, Eduardo J., et al.. (2016). Multielemental composition and nutritional value of "dumosa" (Ilex dumosa), "yerba mate" (I. paraguariensis) and their commercial mixture in different forms of use. SHILAP Revista de lepidopterología. 48(1). 145–159. 8 indexed citations
7.
Sgroppo, Sonia C., et al.. (2016). Toxic Trace Element Contents in Gluten-free Cereal Bars Marketed in Argentina. 3(1). 12–16. 5 indexed citations
8.
Sgroppo, Sonia C., et al.. (2015). Trace element concentrations in commercial gluten-free amaranth bars. Journal of Food Measurement & Characterization. 9(3). 426–434. 7 indexed citations
9.
Camí, Gerardo, et al.. (2014). Quantitative Micrograph, HPLC and FTIR profiles of Melissa officinalis and Nepeta cataria (Lamiaceae) from Argentina. SHILAP Revista de lepidopterología. 2 indexed citations
10.
Camí, Gerardo, et al.. (2014). Quantitative micrograph, HPLC and FTIR profiles of Melissa officinalis and Nepeta cataria (Lamiaceae) from Argentina - Micrografía cuantitativa y perfiles de HPLC y FTIR de Melissa officinalis y Nepeta cataria (Lamiaceae) de Argentina. Revista de la Facultad de Ciencias Agrarias UNCuyo.
11.
Camí, Gerardo, et al.. (2014). Micrografía cuantitativa y perfiles de HPLC y FTIR de Melissa officinalis y Nepeta cataria (Lamiaceae) de Argentina. 46(2). 15–27. 1 indexed citations
12.
Petenatti, Elisa M., et al.. (2012). Multivariate Characterization of "Argentinean Mistletoe", Ligaria cuneifolia (Loranthaceae) According to Their Mineral Nutrient Composition. Boletin Latinoamericano y del Caribe de plantas Medicinales y Aromaticas. 11(3). 233–240. 1 indexed citations
13.
Camiña, José M., Roberto G. Pellerano, & Eduardo J. Marchevsky. (2012). Geographical and Botanical Classification of Honeys and Apicultural Products by Chemometric Methods. A Review. Current Analytical Chemistry. 8(3). 408–425. 22 indexed citations
14.
Cantarelli, Miguel Á., et al.. (2010). Characterisation of two South American food and medicinal plants by chemometric methods based on their multielemental composition. Phytochemical Analysis. 21(6). 550–555. 16 indexed citations
15.
Petenatti, Elisa M., et al.. (2009). Major and trace elements contents in crude drug and infusions of two South American species of Achyrocline (Asteraceae) named "Marcelas". El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 9 indexed citations
16.
Pellerano, Roberto G., et al.. (2008). Multielement Analysis of Argentinean Lemon Juices by Instrumental Neutronic Activation Analysis and Their Classification According to Geographical Origin. Journal of Agricultural and Food Chemistry. 56(13). 5222–5225. 24 indexed citations
17.
Marchevsky, Eduardo J., et al.. (2006). Evaluación de parámetros físicos y químicos en miel a través del uso de análisis de componentes principales. Afinidad. 63(521). 40–44. 1 indexed citations
18.
Camiña, José M., et al.. (2004). Simultaneous determination of Cu, Zn and Fe in honey using partial least square regression method PLS-2. Chemia Analityczna. 49(5). 717–727. 2 indexed citations
19.
D’Angelo, José A., et al.. (2002). An Improved Method for Obtaining Small Pressed Powder Pellets for the Analysis by XRF. Chemia Analityczna. 47(6). 913–924. 4 indexed citations
20.
D’Angelo, José A., et al.. (2001). DETERMINATION OF EIGHT LANTHANIDES IN APATITES BY ICP-AES, XRF, AND NAA. Conicet. 19(1). 79–90. 18 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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