Benedek Rózemberczki

2.0k total citations · 1 hit paper
9 papers, 428 citations indexed

About

Benedek Rózemberczki is a scholar working on Artificial Intelligence, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Benedek Rózemberczki has authored 9 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Benedek Rózemberczki's work include Advanced Graph Neural Networks (5 papers), Complex Network Analysis Techniques (3 papers) and Bioinformatics and Genomic Networks (3 papers). Benedek Rózemberczki is often cited by papers focused on Advanced Graph Neural Networks (5 papers), Complex Network Analysis Techniques (3 papers) and Bioinformatics and Genomic Networks (3 papers). Benedek Rózemberczki collaborates with scholars based in United Kingdom, United States and Australia. Benedek Rózemberczki's co-authors include Rik Sarkar, Olivér Kiss, Charles Sutton, Péter Bayer, Hao-Tsung Yang, Anna Gogleva, Andriy Nikolov, Eliseo Papa, Ioannis N. Melas and Arwa Bin Raies and has published in prestigious journals such as Science Advances, IEEE Transactions on Learning Technologies and Edinburgh Research Explorer (University of Edinburgh).

In The Last Decade

Benedek Rózemberczki

9 papers receiving 418 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.

The Shapley Value in Machine Learning

2022 134 citations Benedek Rózemberczki, Péter Bayer et al. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benedek Rózemberczki United Kingdom	7	228	161	65	54	43	9	428
Daokun Zhang Australia	12	310 1.4×	176 1.1×	71 1.1×	81 1.5×	70 1.6×	18	517
Daokun Zhang Australia	3	343 1.5×	230 1.4×	98 1.5×	67 1.2×	80 1.9×	5	484
Hadi Zare Iran	12	190 0.8×	109 0.7×	22 0.3×	68 1.3×	57 1.3×	28	309
Sungsu Lim South Korea	13	188 0.8×	188 1.2×	45 0.7×	68 1.3×	74 1.7×	49	455
Margareta Ackerman United States	11	255 1.1×	83 0.5×	42 0.6×	79 1.5×	58 1.3×	29	486
Haoran Huang China	10	191 0.8×	60 0.4×	66 1.0×	73 1.4×	112 2.6×	24	395
Lin Pan China	11	271 1.2×	175 1.1×	41 0.6×	54 1.0×	100 2.3×	30	461
Alexis Papadimitriou Greece	8	193 0.8×	178 1.1×	57 0.9×	37 0.7×	121 2.8×	11	407

Countries citing papers authored by Benedek Rózemberczki

Since Specialization

Citations

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

Fields of papers citing papers by Benedek Rózemberczki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benedek Rózemberczki

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

All Works

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9 of 9 papers shown

1.

Melas, Ioannis N., Chirag Vasavda, Arwa Bin Raies, et al.. (2024). Phenome-wide identification of therapeutic genetic targets, leveraging knowledge graphs, graph neural networks, and UK Biobank data. Science Advances. 10(19). eadj1424–eadj1424. 8 indexed citations

2.

Rózemberczki, Benedek, et al.. (2022). MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 3472–3483. 12 indexed citations

3.

Rózemberczki, Benedek, et al.. (2022). The Shapley Value in Machine Learning. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 5572–5579. 134 indexed citations breakdown →

4.

Rózemberczki, Benedek, Charles Tapley Hoyt, Anna Gogleva, et al.. (2022). ChemicalX: A Deep Learning Library for Drug Pair Scoring. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 3819–3828. 9 indexed citations

5.

Rózemberczki, Benedek, et al.. (2021). Persistence and Performance in Co-Enrollment Network Embeddings: An Empirical Validation of Tinto's Student Integration Model. IEEE Transactions on Learning Technologies. 14(1). 106–121. 5 indexed citations

6.

Rózemberczki, Benedek, Olivér Kiss, & Rik Sarkar. (2020). Little Ball of Fur. Edinburgh Research Explorer. 3133–3140. 22 indexed citations

7.

Rózemberczki, Benedek, Olivér Kiss, & Rik Sarkar. (2020). Karate Club. Edinburgh Research Explorer (University of Edinburgh). 3125–3132. 75 indexed citations

8.

Rózemberczki, Benedek, et al.. (2019). GEMSEC. Edinburgh Research Explorer (University of Edinburgh). 65–72. 158 indexed citations

9.

Rózemberczki, Benedek, et al.. (2018). Topological signatures for fast mobility analysis. Edinburgh Research Explorer (University of Edinburgh). 159–168. 5 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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