Sandra Mitrović

677 total citations
16 papers, 235 citations indexed

About

Sandra Mitrović is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Marketing. According to data from OpenAlex, Sandra Mitrović has authored 16 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Statistical and Nonlinear Physics and 4 papers in Marketing. Recurrent topics in Sandra Mitrović's work include Topic Modeling (4 papers), Complex Network Analysis Techniques (4 papers) and Customer churn and segmentation (4 papers). Sandra Mitrović is often cited by papers focused on Topic Modeling (4 papers), Complex Network Analysis Techniques (4 papers) and Customer churn and segmentation (4 papers). Sandra Mitrović collaborates with scholars based in Switzerland, Belgium and United Kingdom. Sandra Mitrović's co-authors include Jochen De Weerdt, Bart Baesens, Wilfried Lemahieu, E. A. Magnier, Judith G. Cohen, C. Waters, Branimir Sesar, Nina Hernitschek, Edouard J. Bernard and H. Flewelling and has published in prestigious journals such as European Journal of Operational Research, Information Sciences and The Astronomical Journal.

In The Last Decade

Sandra Mitrović

13 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandra Mitrović Switzerland 7 94 61 58 51 30 16 235
Steven J. Clark United States 9 282 3.0× 2 0.0× 54 0.9× 4 0.1× 5 0.2× 17 518
A. Marchetti Italy 11 88 0.9× 150 2.6× 23 0.5× 3 0.1× 21 294
Zhipeng Wang China 7 34 0.4× 5 0.1× 59 1.0× 5 0.2× 25 216
Jeff Riley Australia 7 156 1.7× 50 0.9× 9 0.2× 3 0.1× 20 268
Miguel Cárdenas‐Montes Spain 7 13 0.1× 1 0.0× 51 0.9× 8 0.2× 8 0.3× 36 136
Á. García-Piquer Spain 7 22 0.2× 1 0.0× 56 1.0× 13 0.3× 1 0.0× 16 111
Yu Fu China 12 110 1.2× 8 0.1× 8 0.1× 4 0.1× 47 326
Robert Rowlingson United Kingdom 5 54 0.6× 1 0.0× 31 0.5× 2 0.0× 8 0.3× 9 255
Praveen Manoharan Germany 7 33 0.4× 138 2.4× 8 0.3× 13 187
Pedro Tirado Spain 12 85 0.9× 2 0.0× 18 0.3× 4 0.1× 33 357

Countries citing papers authored by Sandra Mitrović

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Mitrović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandra Mitrović

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

All Works

16 of 16 papers shown
1.
2.
Mitrović, Sandra, et al.. (2024). BUST: Benchmark for the evaluation of detectors of LLM-Generated Text. 8029–8057.
3.
Mitrović, Sandra, et al.. (2024). A Computationally Efficient Deep Learning-Based Surrogate Model of Prediabetes Progression. Zenodo (CERN European Organization for Nuclear Research). 6951–6958.
4.
Infanti, Laura, Sandra Mitrović, Andreas Holbro, et al.. (2022). Pathogen inactivation treatment of triple‐dose apheresis platelets with amotosalen and ultraviolet a light. Transfusion Medicine. 32(6). 505–511. 2 indexed citations
5.
Mitrović, Sandra, et al.. (2022). Implementation of Quantum Machine Learning Algorithms: A Literature Review. 1–4. 2 indexed citations
6.
7.
Mitrović, Sandra, et al.. (2021). Neural Machine Translation for Conditional Generation of Novel Procedures. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 1 indexed citations
8.
Mitrović, Sandra, et al.. (2020). SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces. 214–221. 8 indexed citations
9.
Hirt‐Minkowski, Patricia, Gideon Hönger, Sandra Mitrović, et al.. (2019). Technical Considerations and Confounders for Urine CXCL10 Chemokine Measurement. Transplantation Direct. 6(1). e519–e519. 11 indexed citations
10.
Mitrović, Sandra & Jochen De Weerdt. (2019). Churn modeling with probabilistic meta paths-based representation learning. Information Processing & Management. 57(2). 102052–102052. 14 indexed citations
11.
Mitrović, Sandra, Bart Baesens, Wilfried Lemahieu, & Jochen De Weerdt. (2019). tcc2vec: RFM-informed representation learning on call graphs for churn prediction. Information Sciences. 557. 270–285. 17 indexed citations
12.
Mitrović, Sandra, et al.. (2019). A comparison of methods for link sign prediction with signed network embeddings. Lirias (KU Leuven). 1089–1096. 1 indexed citations
13.
Mitrović, Sandra, et al.. (2018). Combining Temporal Aspects of Dynamic Networks with Node2Vec for a more Efficient Dynamic Link Prediction. ePrints Soton (University of Southampton). 1234–1241. 38 indexed citations
14.
Sesar, Branimir, Nina Hernitschek, Sandra Mitrović, et al.. (2017). Machine-learned Identification of RR Lyrae Stars from Sparse, Multi-band Data: The PS1 Sample. The Astronomical Journal. 153(5). 204–204. 98 indexed citations
15.
Mitrović, Sandra, Bart Baesens, Wilfried Lemahieu, & Jochen De Weerdt. (2017). On the operational efficiency of different feature types for telco Churn prediction. European Journal of Operational Research. 267(3). 1141–1155. 36 indexed citations
16.
Mitrović, Sandra, et al.. (2017). Scalable RFM-enriched Representation Learning for Churn Prediction. ePrints Soton (University of Southampton). 79–88. 6 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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