Róbert Pálovics

5.3k total citations
23 papers, 288 citations indexed

About

Róbert Pálovics is a scholar working on Information Systems, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Róbert Pálovics has authored 23 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 7 papers in Statistical and Nonlinear Physics and 6 papers in Artificial Intelligence. Recurrent topics in Róbert Pálovics's work include Recommender Systems and Techniques (10 papers), Complex Network Analysis Techniques (7 papers) and Human Mobility and Location-Based Analysis (3 papers). Róbert Pálovics is often cited by papers focused on Recommender Systems and Techniques (10 papers), Complex Network Analysis Techniques (7 papers) and Human Mobility and Location-Based Analysis (3 papers). Róbert Pálovics collaborates with scholars based in Hungary, United States and Germany. Róbert Pálovics's co-authors include András A. Benczúr, Levente Kocsis, Tamás Kiss, Oliver Hãhn, Jacob M. Hull, Achint Kaur, Martha Larson, John R. Huguenard, Fabian Abel and Nannan Lu and has published in prestigious journals such as Cell, Scientific Reports and Cells.

In The Last Decade

Róbert Pálovics

22 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Róbert Pálovics Hungary 10 92 74 59 56 52 23 288
Mesut Kaya Türkiye 10 117 1.3× 128 1.7× 13 0.2× 9 0.2× 20 0.4× 32 342
Xiaohui Zhao China 13 131 1.4× 107 1.4× 47 0.8× 5 0.1× 22 0.4× 21 383
Mingming Chen China 10 49 0.5× 175 2.4× 325 5.5× 9 0.2× 103 2.0× 30 544
Marc Janssen Netherlands 6 51 0.6× 107 1.4× 59 1.0× 7 0.1× 61 1.2× 17 404
Ronaldo Ribeiro Goldschmidt Brazil 8 91 1.0× 214 2.9× 86 1.5× 5 0.1× 59 1.1× 69 396
Konstantin Kuzmin United States 7 32 0.3× 107 1.4× 244 4.1× 9 0.2× 61 1.2× 9 329
Ching‐Yu Huang United States 8 52 0.6× 76 1.0× 6 0.1× 5 0.1× 87 1.7× 30 394
Pietro Michelucci United States 6 25 0.3× 62 0.8× 18 0.3× 18 0.3× 19 0.4× 14 328
Shaowei Wang Canada 12 213 2.3× 108 1.5× 3 0.1× 23 0.4× 27 0.5× 20 365
Xinlei Wang China 10 32 0.3× 61 0.8× 3 0.1× 52 0.9× 53 1.0× 38 323

Countries citing papers authored by Róbert Pálovics

Since Specialization
Citations

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

Fields of papers citing papers by Róbert Pálovics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Róbert Pálovics

This figure shows the co-authorship network connecting the top 25 collaborators of Róbert Pálovics. A scholar is included among the top collaborators of Róbert Pálovics 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 Róbert Pálovics. Róbert Pálovics 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
1.
Csordás, Attila, et al.. (2024). Profiling the transcriptomic age of single-cells in humans. Communications Biology. 7(1). 1397–1397. 6 indexed citations
2.
Kiss, Orsolya, Fiona C. Baker, Róbert Pálovics, et al.. (2024). Using explainable machine learning and fitbit data to investigate predictors of adolescent obesity. Scientific Reports. 14(1). 12563–12563. 10 indexed citations
3.
Hãhn, Oliver, Patricia Moran‐Losada, Ian H. Guldner, et al.. (2023). Atlas of the aging mouse brain reveals white matter as vulnerable foci. Cell. 186(19). 4117–4133.e22. 88 indexed citations
4.
Pálovics, Róbert, et al.. (2023). Long-term Development Perspectives of Resilient Companies. 219–224. 1 indexed citations
5.
Pálovics, Róbert, et al.. (2021). Companies under stress: the impact of shocks on the production network. EPJ Data Science. 10(1). 57–57. 5 indexed citations
6.
Kapitansky, Oxana, Gidon Karmon, Shlomo Sragovich, et al.. (2020). Single Cell ADNP Predictive of Human Muscle Disorders: Mouse Knockdown Results in Muscle Wasting. Cells. 9(10). 2320–2320. 13 indexed citations
7.
Pálovics, Róbert, et al.. (2019). Node embeddings in dynamic graphs. Applied Network Science. 4(1). 19 indexed citations
8.
Pálovics, Róbert, et al.. (2018). Temporal walk based centrality metric for graph streams. Applied Network Science. 3(1). 32–32. 18 indexed citations
9.
Pálovics, Róbert, et al.. (2017). Alpenglow: Open source recommender framework with time-Aware learning and evaluation. SZTAKI Publication Repository (Hungarian Academy of Sciences). 3 indexed citations
10.
Pálovics, Róbert, et al.. (2017). Online ranking prediction in non-stationary environments. SZTAKI Publication Repository (Hungarian Academy of Sciences). 28–34. 3 indexed citations
11.
Pálovics, Róbert, et al.. (2017). Tutorial on Open Source Online Learning Recommenders. 400–401.
12.
Abel, Fabian, et al.. (2016). RecSys Challenge 2016. Radboud Repository (Radboud University). 425–426. 23 indexed citations
13.
Pálovics, Róbert, et al.. (2016). Location-aware online learning for top-k recommendation. Pervasive and Mobile Computing. 38. 490–504. 14 indexed citations
14.
Pálovics, Róbert, et al.. (2015). Location-aware online learning for top-k hashtag recommendation. Conference on Recommender Systems. 36–39. 4 indexed citations
15.
Daróczy, Bálint, et al.. (2015). Predicting User-specific Temporal Retweet Count Based on Network and Content Information.. Conference on Recommender Systems. 6–13. 3 indexed citations
16.
Pálovics, Róbert, et al.. (2015). Solving RecSys Challenge 2015 by Linear Models, Gradient Boosted Trees and Metric Optimization. 1–4. 3 indexed citations
17.
Pálovics, Róbert & András A. Benczúr. (2015). Temporal influence over the Last.fm social network. Social Network Analysis and Mining. 5(1). 15 indexed citations
18.
Pálovics, Róbert, et al.. (2014). RecSys Challenge 2014. 13–18. 1 indexed citations
19.
Pálovics, Róbert, et al.. (2014). Exploiting temporal influence in online recommendation. 273–280. 40 indexed citations
20.
Pálovics, Róbert, Bálint Daróczy, & András A. Benczúr. (2013). Temporal prediction of retweet count. 267–270. 11 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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