Anna Saranti

1.8k total citations · 3 hit papers
27 papers, 790 citations indexed

About

Anna Saranti is a scholar working on Artificial Intelligence, Molecular Biology and Computer Science Applications. According to data from OpenAlex, Anna Saranti has authored 27 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Computer Science Applications. Recurrent topics in Anna Saranti's work include Explainable Artificial Intelligence (XAI) (10 papers), Online Learning and Analytics (4 papers) and Topic Modeling (4 papers). Anna Saranti is often cited by papers focused on Explainable Artificial Intelligence (XAI) (10 papers), Online Learning and Analytics (4 papers) and Topic Modeling (4 papers). Anna Saranti collaborates with scholars based in Austria, Germany and United States. Anna Saranti's co-authors include Andreas Holzinger, Bastian Pfeifer, Bernd Malle, Alessa Angerschmid, Carl Orge Retzlaff, Francisco Herrera, Javier Del Ser, Natalia Díaz-Rodríguez, Karl Stampfer and Christoph Gollob and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

In The Last Decade

Anna Saranti

26 papers receiving 759 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI

2021 240 citations Andreas Holzinger, Bernd Malle et al. Information Fusion profile →
Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists

2024 68 citations Carl Orge Retzlaff, Alessa Angerschmid et al. Cognitive Systems Research profile →
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities

2024 51 citations Carl Orge Retzlaff, Payam Mousavi et al. Journal of Artificial Intelligence Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Saranti Austria	12	413	97	94	63	59	27	790
Tejal Shah United Kingdom	11	356 0.9×	57 0.6×	93 1.0×	29 0.5×	92 1.6×	33	922
Khan Muhammad South Korea	6	402 1.0×	134 1.4×	83 0.9×	33 0.5×	53 0.9×	11	811
Yuan Wu China	6	533 1.3×	86 0.9×	86 0.9×	43 0.7×	157 2.7×	18	1.1k
Chaofan Chen China	12	768 1.9×	98 1.0×	236 2.5×	90 1.4×	32 0.5×	40	1.3k
Mario Brčić Croatia	8	592 1.4×	117 1.2×	81 0.9×	23 0.4×	77 1.3×	25	974
Rudresh Dwivedi India	9	269 0.7×	53 0.5×	139 1.5×	18 0.3×	119 2.0×	14	776
Md. Saddam Hossain Mukta Bangladesh	14	420 1.0×	53 0.5×	119 1.3×	19 0.3×	87 1.5×	56	880
Bin Qian China	7	327 0.8×	55 0.6×	95 1.0×	20 0.3×	80 1.4×	15	725
George Obaido South Africa	13	329 0.8×	28 0.3×	62 0.7×	41 0.7×	69 1.2×	32	806
Kishor Datta Gupta United States	13	357 0.9×	35 0.4×	91 1.0×	52 0.8×	219 3.7×	60	1.1k

Countries citing papers authored by Anna Saranti

Since Specialization

Citations

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

Fields of papers citing papers by Anna Saranti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Saranti

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bodner, Gernot, et al.. (2024). Reviewing the essential roles of remote phenotyping, GWAS and explainable AI in practical marker-assisted selection for drought-tolerant winter wheat breeding. Frontiers in Plant Science. 15. 1319938–1319938. 8 indexed citations

Saranti, Anna, et al.. (2024). CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks. Journal of Biomedical Informatics. 150. 104600–104600. 29 indexed citations

Retzlaff, Carl Orge, Alessa Angerschmid, Anna Saranti, et al.. (2024). Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists. Cognitive Systems Research. 86. 101243–101243. 68 indexed citations breakdown →

Saranti, Anna, Bastian Pfeifer, Christoph Gollob, Karl Stampfer, & Andreas Holzinger. (2024). From 3D point‐cloud data to explainable geometric deep learning: State‐of‐the‐art and future challenges. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 14(6). 7 indexed citations

Saranti, Anna, et al.. (2024). Explainable Artificial Intelligence to Support Work Safety in Forestry: Insights from Two Large Datasets, Open Challenges, and Future Work. Applied Sciences. 14(9). 3911–3911. 4 indexed citations

Retzlaff, Carl Orge, Payam Mousavi, Tianpei Yang, et al.. (2024). Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities. Journal of Artificial Intelligence Research. 79. 359–415. 51 indexed citations breakdown →

Pfeifer, Bastian, Roman Martin, Anna Saranti, et al.. (2023). Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification. Bioinformatics. 39(11). 12 indexed citations

Holzinger, Andreas, et al.. (2023). Toward human-level concept learning: Pattern benchmarking for AI algorithms. Patterns. 4(8). 100788–100788. 24 indexed citations

Pfeifer, Bastian, Anna Saranti, & Andreas Holzinger. (2022). GNN-SubNet: disease subnetwork detection with explainable graph neural networks. Bioinformatics. 38(Supplement_2). ii120–ii126. 41 indexed citations

10.

Finzel, Bettina, et al.. (2022). Correction: Generating Explanations for Conceptual Validation of Graph Neural Networks. KI - Künstliche Intelligenz. 39(4). 341–341. 1 indexed citations

11.

Finzel, Bettina, et al.. (2022). Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs. KI - Künstliche Intelligenz. 36(3-4). 271–285. 11 indexed citations

12.

Pfeifer, Bastian, Hubert Baniecki, Anna Saranti, Przemysław Biecek, & Andreas Holzinger. (2022). Multi-omics disease module detection with an explainable Greedy Decision Forest. Scientific Reports. 12(1). 16857–16857. 21 indexed citations

13.

Holzinger, Andreas, Anna Saranti, Alessa Angerschmid, et al.. (2022). Digital Transformation in Smart Farm and Forest Operations Needs Human-Centered AI: Challenges and Future Directions. Sensors. 22(8). 3043–3043. 95 indexed citations

14.

Saranti, Anna, Miroslav Hudec, Zdenko Takáč, et al.. (2022). Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning. SHILAP Revista de lepidopterología. 4(4). 924–953. 18 indexed citations

15.

Hudec, Miroslav, et al.. (2021). Classification by ordinal sums of conjunctive and disjunctive functions for explainable AI and interpretable machine learning solutions. Knowledge-Based Systems. 220. 106916–106916. 35 indexed citations

16.

Holzinger, Andreas, Bernd Malle, Anna Saranti, & Bastian Pfeifer. (2021). Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI. Information Fusion. 71. 28–37. 240 indexed citations breakdown →

17.

Müller, Heimo, et al.. (2020). Classification and Visualization of Patterns in Medical Images. 9. 639–643. 2 indexed citations

18.

Taraghi, Behnam, Anna Saranti, Robert Legenstein, & Martin Ebner. (2016). Bayesian modelling of student misconceptions in the one-digit multiplication with probabilistic programming. 449–453. 2 indexed citations

19.

Saranti, Anna, et al.. (2008). Podcasting at TU Graz - How to implement podcasting as a didactical method for teaching and learning purposes at a university of technology. EdMedia: World Conference on Educational Media and Technology. 2008(1). 3858–3863. 4 indexed citations

20.

Saranti, Anna, et al.. (2008). SONIC EXPLORATIONS WITH EARTHQUAKE DATA. SMARTech Repository (Georgia Institute of Technology). 0–0. 1 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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