Stefka Atanassova

920 total citations
44 papers, 656 citations indexed

About

Stefka Atanassova is a scholar working on Analytical Chemistry, Animal Science and Zoology and Plant Science. According to data from OpenAlex, Stefka Atanassova has authored 44 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Analytical Chemistry, 14 papers in Animal Science and Zoology and 11 papers in Plant Science. Recurrent topics in Stefka Atanassova's work include Spectroscopy and Chemometric Analyses (25 papers), Meat and Animal Product Quality (13 papers) and Advanced Chemical Sensor Technologies (7 papers). Stefka Atanassova is often cited by papers focused on Spectroscopy and Chemometric Analyses (25 papers), Meat and Animal Product Quality (13 papers) and Advanced Chemical Sensor Technologies (7 papers). Stefka Atanassova collaborates with scholars based in Bulgaria, Japan and United Kingdom. Stefka Atanassova's co-authors include Roumiana Tsenkova, Kiyohiko Toyoda, K. Itoh, Yukihiro Ozaki, Tom Fearn, Shinji Kawano, Hiroyuki Morita, Daniela Moyankova, Holger Lange and Dimitar Djilianov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Dairy Science.

In The Last Decade

Stefka Atanassova

43 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefka Atanassova Bulgaria 11 389 226 170 167 124 44 656
B. de la Roza-Delgado Spain 13 324 0.8× 156 0.7× 137 0.8× 175 1.0× 165 1.3× 34 672
Lorenzo Serva Italy 16 241 0.6× 291 1.3× 60 0.4× 93 0.6× 145 1.2× 51 623
A. Martínez-Fernández Spain 13 205 0.5× 131 0.6× 85 0.5× 199 1.2× 86 0.7× 45 562
Maria Markiewicz‐Kęszycka Ireland 16 503 1.3× 209 0.9× 56 0.3× 127 0.8× 118 1.0× 45 973
Shuso Kawamura Japan 17 333 0.9× 168 0.7× 92 0.5× 73 0.4× 148 1.2× 95 918
Tiziana M.P. Cattaneo Italy 17 358 0.9× 160 0.7× 123 0.7× 55 0.3× 204 1.6× 61 786
N. Prieto Spain 11 574 1.5× 763 3.4× 110 0.6× 307 1.8× 275 2.2× 14 1.2k
C. Craigie New Zealand 17 383 1.0× 468 2.1× 100 0.6× 52 0.3× 233 1.9× 36 768
George Bázár Hungary 17 449 1.2× 295 1.3× 198 1.2× 30 0.2× 304 2.5× 63 1.0k
Ian A. Cowe United Kingdom 13 401 1.0× 92 0.4× 162 1.0× 87 0.5× 131 1.1× 24 739

Countries citing papers authored by Stefka Atanassova

Since Specialization
Citations

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

Fields of papers citing papers by Stefka Atanassova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefka Atanassova

This figure shows the co-authorship network connecting the top 25 collaborators of Stefka Atanassova. A scholar is included among the top collaborators of Stefka Atanassova 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 Stefka Atanassova. Stefka Atanassova 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
2.
Atanassova, Stefka, et al.. (2024). Indirect Determination of Basic Tomato Quality Parameters Using Color Digital Images. SHILAP Revista de lepidopterología. 24–24. 1 indexed citations
3.
Moyankova, Daniela, et al.. (2023). An Aquaphotomics Approach for Investigation of Water-Stress-Induced Changes in Maize Plants. Sensors. 23(24). 9678–9678. 5 indexed citations
4.
Sirakov, Ivaylo, et al.. (2023). Detection of Fungal Diseases in Lettuce by VIR-NIR Spectroscopy in Aquaponics. Microorganisms. 11(9). 2348–2348. 6 indexed citations
5.
Atanassova, Stefka, et al.. (2023). Cheese quality assessment by use of near-infrared spectroscopy. SHILAP Revista de lepidopterología. 58. 2007–2007. 2 indexed citations
6.
Goi, Arianna, et al.. (2023). Across countries implementation of handheld near-infrared spectrometer for the on-line prediction of beef marbling in slaughterhouse. Meat Science. 200. 109169–109169. 14 indexed citations
7.
Atanassova, Stefka, et al.. (2019). Karyology of the Chenopodiastrum s. fuentes et al. (Amaranthaceae) from Bulgaria.. Bulgarian Journal of Agricultural Science. 25. 131–135. 1 indexed citations
8.
Tzanova, Milena, et al.. (2019). Antioxidant constituents and antioxidant activity of some red wine and red table grape varieties, cultivated in diff erent regions of Bulgaria. Bulgarian Journal of Agricultural Science. 1 indexed citations
9.
Atanassova, Stefka, et al.. (2018). Differentiation of fresh and frozen-thawed poultry breast meat by Near Infrared Spectroscopy. Bulgarian Journal of Agricultural Science. 8 indexed citations
10.
Atanassova, Stefka. (2015). Near Infrared Spectroscopy and aquaphotomics for monitoring changes during yellow cheese ripening.. Bulgarian Portal for Open Science. 7(2). 269–272. 4 indexed citations
11.
Atanassova, Stefka, et al.. (2013). Evaluation of pork meat quality and freshness using colorimetric and spectral methods. Bulgarian Portal for Open Science. 5(1). 115–120. 2 indexed citations
12.
Atanassova, Stefka, et al.. (2012). Application of NIRS as a rapid and alternative method for prediction of heavy metals content in soil. Bulgarian Portal for Open Science. 4(4). 440–444. 3 indexed citations
13.
Daskalov, H., et al.. (2011). Application of near infrared spectroscopy for rapid noninvasive detection of Listeria monocytogenes, Escherichia coli and Staphylococcus aureus growth in foods.. BULGARIAN JOURNAL OF VETERINARY MEDICINE. 14(3). 150–157. 2 indexed citations
14.
Atanassova, Stefka, et al.. (2011). Near infrared spectroscopy for monitoring changes during yellow cheese ripening.. Bulgarian Portal for Open Science. 3(4). 390–394. 2 indexed citations
15.
Atanassova, Stefka, et al.. (2011). Identification of mastitis pathogens in rabbit milk by near infrared spectroscopy and SIMCA classification method.. Bulgarian Portal for Open Science. 3(1). 43–46. 1 indexed citations
16.
Atanassova, Stefka, et al.. (2011). Estimation of total N, total P, pH and electrical conductivity in soil by near-infrared reflectance spectroscopy.. Agricultural Science and Technology. 3(1). 50–54. 8 indexed citations
17.
Atanassova, Stefka, et al.. (2010). Detection of bacterial contamination in milk using NIR spectroscopy and two classification methods - SIMCA and Neuro – Fuzzy classifier. IFAC Proceedings Volumes. 43(26). 225–229. 8 indexed citations
18.
Atanassova, Stefka, et al.. (2009). Identification of mastitis pathogens in raw milk by near infrared spectroscopy and SIMCA classification method.. 56(1). 567–572. 3 indexed citations
19.
Atanassova, Stefka, et al.. (2009). Determination of soil organic carbon using near-infrared spectroscopy.. Agricultural Science and Technology. 1(2). 45–50. 3 indexed citations
20.
Tsenkova, Roumiana, Stefka Atanassova, Kiyohiko Toyoda, et al.. (1999). Near-Infrared Spectroscopy for Dairy Management: Measurement of Unhomogenized Milk Composition. Journal of Dairy Science. 82(11). 2344–2351. 154 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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