Marcel Hildebrandt

590 total citations
17 papers, 246 citations indexed

About

Marcel Hildebrandt is a scholar working on Artificial Intelligence, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, Marcel Hildebrandt has authored 17 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Molecular Biology and 3 papers in Control and Systems Engineering. Recurrent topics in Marcel Hildebrandt's work include Advanced Graph Neural Networks (7 papers), Topic Modeling (5 papers) and Machine Learning in Bioinformatics (2 papers). Marcel Hildebrandt is often cited by papers focused on Advanced Graph Neural Networks (7 papers), Topic Modeling (5 papers) and Machine Learning in Bioinformatics (2 papers). Marcel Hildebrandt collaborates with scholars based in Germany, United States and Switzerland. Marcel Hildebrandt's co-authors include Mitchell Joblin, Volker Tresp, Yunpu Ma, Jeffrey D. Jensen, Sebastian Matuszewski, Yushan Liu, Guillaume Achaz, Martin Ringsquandl, Claudia Bank and Kathrin Frey and has published in prestigious journals such as Nature Communications, Genetics and PLoS Genetics.

In The Last Decade

Marcel Hildebrandt

17 papers receiving 238 citations

Peers

Countries citing papers authored by Marcel Hildebrandt

Since Specialization

Citations

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

Fields of papers citing papers by Marcel Hildebrandt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcel Hildebrandt

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	Interpreting the pervasive observation of U-shaped Site Frequency Spectra 2023 ·PLoS Genetics ·Fabian Freund, (unknown), Sebastian Matuszewski, (unknown), Marcel Hildebrandt, Jeffrey D. Jensen, Luca Ferretti, Amaury Lambert, Timothy B. Sackton, Guillaume Achaz	11
2	Speos: an ensemble graph representation learning framework to predict core gene candidates for complex diseases 2023 ·Nature Communications ·(unknown), Mitchell Joblin, Marcel Hildebrandt, Martin Ringsquandl, Pascal Falter‐Braun, Matthias Heinig	13
3	Task-driven knowledge graph filtering improves prioritizing drugs for repurposing 2022 ·BMC Bioinformatics ·(unknown), Mitchell Joblin, Martin Ringsquandl, Marcel Hildebrandt	10
4	On Calibration of Graph Neural Networks for Node Classification 2022 ·2022 International Joint Conference on Neural Networks (IJCNN) ·Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, (unknown)	1
5	Neuro-symbolic computing with spiking neural networks 2022 ·Dominik Dold, (unknown), (unknown), Marcel Hildebrandt, Thomas A. Runkler	4
6	CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations 2022 ·Knowledge and Information Systems ·Zhuang Liu, Yunpu Ma, Marcel Hildebrandt, Yuanxin Ouyang, (unknown)	7
7	TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs 2022 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp	66
8	Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids 2021 ·arXiv (Cornell University) ·Martin Ringsquandl, (unknown), Marcel Hildebrandt, (unknown), (unknown), (unknown), Mitchell Joblin	1
9	Reasoning on graph-structured data with deep-learning, path-based methods, and tensor factorization 2021 ·Electronic Theses of LMU Munich (Ludwig-Maximilians-Universität München) ·Marcel Hildebrandt	1
10	Reasoning on Knowledge Graphs with Debate Dynamics 2020 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Marcel Hildebrandt, (unknown), Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp	23
11	Health indication of electric motors using a hybrid modeling approach 2019 ·tm - Technisches Messen ·(unknown), (unknown), Marcel Hildebrandt, Michael Heizmann, Roland Wüchner, Kai‐Uwe Bletzinger, Volker Tresp	1
12	Remaining Useful Life Estimation for Unknown Motors Using a Hybrid Modeling Approach 2019 ·Marcel Hildebrandt, (unknown), (unknown), Volker Tresp, Roland Wüchner, Kai‐Uwe Bletzinger, Michael Heizmann	3
13	Holistic Representations for Memorization and Inference 2018 ·Uncertainty in Artificial Intelligence ·Yunpu Ma, Marcel Hildebrandt, Volker Tresp, Stephan Baier	8
14	Filling Gaps in Industrial Knowledge Graphs via Event-Enhanced Embedding. 2018 ·MPG.PuRe (Max Planck Society) ·Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Marcel Hildebrandt, Steffen Lamparter, (unknown), Ian Horrocks, (unknown)	3
15	Coalescent Processes with Skewed Offspring Distributions and Nonequilibrium Demography 2017 ·Genetics ·Sebastian Matuszewski, Marcel Hildebrandt, Guillaume Achaz, Jeffrey D. Jensen	35
16	A Statistical Guide to the Design of Deep Mutational Scanning Experiments 2016 ·Genetics ·Sebastian Matuszewski, Marcel Hildebrandt, (unknown), Jeffrey D. Jensen, Claudia Bank	27
17	Comparing the biological washout ofβ⁺-activity induced in mice brain after¹²C-ion and proton irradiation 2014 ·Physics in Medicine and Biology ·Constantin Ammar, Kathrin Frey, Julia Bauer, (unknown), Sara Chiblak, Marcel Hildebrandt, Daniel Unholtz, Christopher Kurz, Stephan Brons, Jürgen Debus, Amir Abdollahi, Katia Parodi	32

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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