Róbert Pálovics
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Recommender Systems and Techniques 10
- Spam and Phishing Detection 2
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- Complex Network Analysis Techniques 7
- Co-authors
- András A. Benczúr (16 shared papers)Levente Kocsis (7 shared papers)Tamás Kiss (1 shared paper)Patricia Moran‐Losada (2 shared papers)Micaiah Atkins (2 shared papers)Benoit Lehallier (2 shared papers)Tony Wyss‐Coray (2 shared papers)Fabian Kern (2 shared papers)
- Journals
- Applied Network Science (2 papers)EPJ Data Science (1 paper)Social Network Analysis and Mining (1 paper)Pervasive and Mobile Computing (1 paper)Cell (1 paper)
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Róbert Pálovics
22 papers receiving 317 citations
Róbert Pálovics's Hit Papers
Peers
Comparison fields: 5 of 75
- Neurology 57
- Aging 10
- Statistical and Nonlinear Physics 60
- Developmental Neuroscience 16
- Information Systems 93
Countries citing papers authored by Róbert Pálovics
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
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-authors
The 25 scholars most cited alongside Róbert Pálovics, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Atlas of the aging mouse brain reveals white matter as vulnerable foci Hit paper breakdown → | 2023 | 111 |
| 2 | 2014 | 40 | |
| 3 | 2016 | 23 | |
| 4 | 2019 | 20 | |
| 5 | 2018 | 19 | |
| 6 | 2015 | 15 | |
| 7 | 2020 | 14 | |
| 8 | 2016 | 14 | |
| 9 | 2024 | 11 | |
| 10 | 2013 | 11 | |
| 11 | 2024 | 10 | |
| 12 | 2013 | 6 | |
| 13 | 2021 | 5 | |
| 14 | Location-aware online learning for top-k hashtag recommendation | 2015 | 4 |
| 15 | Online ranking prediction in non-stationary environments | 2017 | 4 |
| 16 | Alpenglow: Open source recommender framework with time-Aware learning and evaluation | 2017 | 3 |
| 17 | Predicting User-specific Temporal Retweet Count Based on Network and Content Information. | 2015 | 3 |
| 18 | 2015 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2022 | 1 |
About Róbert Pálovics
Róbert Pálovics is a scholar working on Information Systems, Statistical and Nonlinear Physics, Artificial Intelligence, Computer Science Applications and Computer Networks and Communications, having authored 23 papers that have together received 321 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (10 papers), Complex Network Analysis Techniques (7 papers), Human Mobility and Location-Based Analysis (3 papers), Single-cell and spatial transcriptomics (2 papers), Advanced Graph Neural Networks (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Peer-to-Peer Network Technologies (2 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Neurology (57 citations), Aging (10 citations), Statistical and Nonlinear Physics (60 citations), Developmental Neuroscience (16 citations) and Information Systems (93 citations). Róbert Pálovics has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include András A. Benczúr, Levente Kocsis, Tamás Kiss, Patricia Moran‐Losada, Micaiah Atkins, Benoit Lehallier, Tony Wyss‐Coray, Fabian Kern, Andreas Keller and Christy Munson. Their work appears in journals such as Applied Network Science, EPJ Data Science, Social Network Analysis and Mining, Pervasive and Mobile Computing and Cell.
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.