Aleksandra Piktus

536 total citations
11 papers, 123 citations indexed

About

Aleksandra Piktus is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Communication. According to data from OpenAlex, Aleksandra Piktus has authored 11 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Communication. Recurrent topics in Aleksandra Piktus's work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Multimodal Machine Learning Applications (4 papers). Aleksandra Piktus is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Multimodal Machine Learning Applications (4 papers). Aleksandra Piktus collaborates with scholars based in Israel, Germany and United Kingdom. Aleksandra Piktus's co-authors include Sebastian Riedel, Édouard Grave, Patrick Lewis, Fabrizio Silvestri, Fabio Petroni, Piotr Bojanowski, Guillaume Wenzek, Barlas Oğuz, Anchit Gupta and Xilun Chen and has published in prestigious journals such as Nature, Nature Machine Intelligence and IRIS Research product catalog (Sapienza University of Rome).

In The Last Decade

Aleksandra Piktus

10 papers receiving 116 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aleksandra Piktus Israel	6	115	30	22	14	8	11	123
Laure Soulier France	7	62 0.5×	21 0.7×	25 1.1×	7 0.5×	7 0.9×	25	93
Or Honovich Israel	7	199 1.7×	40 1.3×	29 1.3×	6 0.4×	3 0.4×	10	221
Linyong Nan United States	7	133 1.2×	23 0.8×	18 0.8×	4 0.3×	6 0.8×	16	151
Logan Lebanoff United States	6	170 1.5×	16 0.5×	24 1.1×	18 1.3×	4 0.5×	7	179
Satish Golla India	3	192 1.7×	31 1.0×	25 1.1×	16 1.1×	9 1.1×	5	206
Emanuela Boroş France	7	85 0.7×	21 0.7×	23 1.0×	7 0.5×	3 0.4×	20	119
Qijun Tan United States	4	160 1.4×	34 1.1×	22 1.0×	6 0.4×	2 0.3×	5	174
Hinrich Schuetze Germany	8	162 1.4×	32 1.1×	22 1.0×	12 0.9×	3 0.4×	41	185
Preethi Lahoti Finland	6	68 0.6×	7 0.2×	15 0.7×	13 0.9×	4 0.5×	7	98
Marzieh Saeidi United Kingdom	5	148 1.3×	21 0.7×	16 0.7×	13 0.9×	2 0.3×	6	158

Countries citing papers authored by Aleksandra Piktus

Since Specialization

Citations

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

Fields of papers citing papers by Aleksandra Piktus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksandra Piktus

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

All Works

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11 of 11 papers shown

1.

Piktus, Aleksandra, et al.. (2023). GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration. IRIS Research product catalog (Sapienza University of Rome). 588–598.

2.

Piktus, Aleksandra, et al.. (2023). The ROOTS Search Tool: Data Transparency for LLMs. IRIS Research product catalog (Sapienza University of Rome). 304–314. 10 indexed citations

3.

Akiki, Christopher, et al.. (2023). Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face. IRIS Research product catalog (Sapienza University of Rome). 140–148. 1 indexed citations

4.

Broscheit, Samuel, Aleksandra Piktus, Patrick A. Lewis, et al.. (2023). Improving Wikipedia verifiability with AI. Nature Machine Intelligence. 5(10). 1142–1148. 12 indexed citations

5.

Piktus, Aleksandra. (2023). Online tools help large language models to solve problems through reasoning. Nature. 618(7965). 465–466. 2 indexed citations

6.

Tunstall, Lewis, et al.. (2022). Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements. 128–136. 2 indexed citations

7.

Oğuz, Barlas, Kushal Lakhotia, Anchit Gupta, et al.. (2022). Domain-matched Pre-training Tasks for Dense Retrieval. 1524–1534. 30 indexed citations

8.

Lewis, Patrick, Ethan Perez, Aleksandra Piktus, et al.. (2020). Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. UCL Discovery (University College London). 33. 9459–9474. 2 indexed citations

9.

Petroni, Fabio, Patrick Lewis, Aleksandra Piktus, et al.. (2020). How Context Affects Language Models' Factual Predictions. UCL Discovery (University College London). 16 indexed citations

10.

Fan, Angela, Aleksandra Piktus, Fabio Petroni, et al.. (2020). Generating Fact Checking Briefs. 7147–7161. 21 indexed citations

11.

Piktus, Aleksandra, et al.. (2019). Misspelling Oblivious Word Embeddings. IRIS Research product catalog (Sapienza University of Rome). 3226–3234. 27 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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