Anna Krause

484 total citations
26 papers, 246 citations indexed

About

Anna Krause is a scholar working on Analytical Chemistry, Pharmacology and Spectroscopy. According to data from OpenAlex, Anna Krause has authored 26 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Analytical Chemistry, 7 papers in Pharmacology and 5 papers in Spectroscopy. Recurrent topics in Anna Krause's work include Analytical Methods in Pharmaceuticals (9 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Analytical Chemistry and Chromatography (5 papers). Anna Krause is often cited by papers focused on Analytical Methods in Pharmaceuticals (9 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Analytical Chemistry and Chromatography (5 papers). Anna Krause collaborates with scholars based in Poland, Germany and United States. Anna Krause's co-authors include Andreas Hotho, Judyta Cielecka‐Piontek, Przemysław Zalewski, Magdalena Paczkowska‐Walendowska, Martin Becker, Marian Paluch, Justyna Knapik-Kowalczuk, Andrzej Miklaszewski, Mikołaj Mizera and Irena Oszczapowicz and has published in prestigious journals such as Scientific Reports, Atmospheric Environment and Molecules.

In The Last Decade

Anna Krause

26 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Krause Poland	9	49	32	28	27	22	26	246
Nicolas Fischer France	9	27 0.6×	13 0.4×	21 0.8×	35 1.3×	11 0.5×	39	292
Jinming Liang China	9	21 0.4×	43 1.3×	42 1.5×	40 1.5×	31 1.4×	30	370
Liyan Wang China	12	25 0.5×	17 0.5×	51 1.8×	64 2.4×	18 0.8×	32	536
Mohamed Korany Egypt	10	79 1.6×	34 1.1×	9 0.3×	49 1.8×	28 1.3×	17	355
Ştefan P. Niculescu United States	9	40 0.8×	13 0.4×	62 2.2×	23 0.9×	66 3.0×	19	354
Siyuan Li China	11	85 1.7×	18 0.6×	66 2.4×	52 1.9×	8 0.4×	35	474
Franz Huber Germany	15	46 0.9×	23 0.7×	19 0.7×	56 2.1×	20 0.9×	47	490
Xiayang Li China	9	14 0.3×	11 0.3×	49 1.8×	29 1.1×	58 2.6×	16	353
Jing-ming Lin China	11	29 0.6×	15 0.5×	23 0.8×	59 2.2×	5 0.2×	43	564

Countries citing papers authored by Anna Krause

Since Specialization

Citations

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

Fields of papers citing papers by Anna Krause

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Krause

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

All Works

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20 of 20 papers shown

Krause, Anna, et al.. (2023). Feature relevance XAI in anomaly detection: Reviewing approaches and challenges. Frontiers in Artificial Intelligence. 6. 1099521–1099521. 19 indexed citations

Krause, Anna, et al.. (2023). Swarming Detection in Smart Beehives Using Auto Encoders for Audio Data. 1–5. 1 indexed citations

Krause, Anna, et al.. (2022). ConvMOS: climate model output statistics with deep learning. Data Mining and Knowledge Discovery. 37(1). 136–166. 6 indexed citations

Krause, Anna, et al.. (2021). Density-based weighting for imbalanced regression. Machine Learning. 110(8). 2187–2211. 81 indexed citations

Krause, Anna, et al.. (2021). A financial game with opportunities for fraud. 1–5. 2 indexed citations

Krause, Anna, et al.. (2021). Evaluating the multi-task learning approach for land use regression modelling of air pollution. Journal of Physics Conference Series. 1834(1). 12004–12004. 4 indexed citations

Becker, Martin, et al.. (2020). OpenLUR: Off-the-shelf air pollution modeling with open features and machine learning. Atmospheric Environment. 233. 117535–117535. 22 indexed citations

Paczkowska‐Walendowska, Magdalena, Mikołaj Mizera, Kinga Sałat, et al.. (2018). Enhanced pharmacological efficacy of sumatriptan due to modification of its physicochemical properties by inclusion in selected cyclodextrins. Scientific Reports. 8(1). 16184–16184. 15 indexed citations

Paczkowska‐Walendowska, Magdalena, et al.. (2017). Kinetic of Rutin Degradation and its Determination in Dietary Supplements. Current Pharmaceutical Analysis. 13(2). 123–130. 2 indexed citations

10.

Mizera, Mikołaj, Anna Krause, Przemysław Zalewski, Robert Skibiński, & Judyta Cielecka‐Piontek. (2016). Quantitative structure-retention relationship model for the determination of naratriptan hydrochloride and its impurities based on artificial neural networks coupled with genetic algorithm. Talanta. 164. 164–174. 11 indexed citations

11.

Zalewski, Przemysław, et al.. (2016). DEVELOPMENT AND VALIDATION OF THE STABILITY-INDICATING LC-UV METHOD FOR DETERMINATION OF CEFOZOPRAN HYDROCHLORIDE.. PubMed. 72(3). 423–7. 1 indexed citations

12.

Paczkowska‐Walendowska, Magdalena, et al.. (2014). The Development and Validation of a Stability-Indicating UHPLC-DAD Method for Determination of Perindopril l-Arginine in Bulk Substance and Pharmaceutical Dosage Form. Chromatographia. 77(21-22). 1497–1501. 11 indexed citations

13.

Krause, Anna, Markus Olbrich, & Erich Barke. (2012). Enclosing the modeling error in analog behavioral models using neural networks and affine arithmetic. 3. 5–8. 2 indexed citations

14.

Krause, Anna, et al.. (2012). Optimal nonlinear taxation of income and education expenditures. Oxford Economic Papers. 65(1). 74–95. 10 indexed citations

15.

Cielecka‐Piontek, Judyta, Magdalena Paczkowska‐Walendowska, Przemysław Zalewski, et al.. (2012). Theoretical and experimental analytical studies on potassium clavulanate. Current Issues in Pharmacy and Medical Sciences. 25(3). 317–321. 1 indexed citations

16.

Krause, Anna, et al.. (2011). Acid-base catalysis ofN-[(morpholine)methylene]daunorubicin. Drug Development and Industrial Pharmacy. 38(8). 1024–1028. 1 indexed citations

17.

Zalewski, Przemysław, et al.. (2011). Stability of [(N-morpholine)metylene]daunorubicin hydrochloride in solid state.. PubMed. 68(5). 759–63. 1 indexed citations

18.

Oszczapowicz, Irena, Anna Jelińska, Judyta Cielecka‐Piontek, et al.. (2009). Development of validation of RP-HPLC method for determination of novel derivatives of daunorubicin. Chemia Analityczna. 54(5). 907–917. 5 indexed citations

19.

Jelińska, Anna, et al.. (2008). Validation of a Stability Indicating LC-UV Method for [(N-Morpholine)methylene]daunorubicin Hydrochloride. Chromatographia. 67(S1). 107–111. 6 indexed citations

20.

Krause, Anna, et al.. (2003). Scaly artificial neural networks for speaker-independent recognition of isolated words. International Conference on Acoustics, Speech, and Signal Processing. assp 33. 21–24. 3 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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