Miguel Angrick

846 total citations
17 papers, 457 citations indexed

About

Miguel Angrick is a scholar working on Cognitive Neuroscience, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Miguel Angrick has authored 17 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 7 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Miguel Angrick's work include EEG and Brain-Computer Interfaces (14 papers), Neural dynamics and brain function (6 papers) and Speech Recognition and Synthesis (4 papers). Miguel Angrick is often cited by papers focused on EEG and Brain-Computer Interfaces (14 papers), Neural dynamics and brain function (6 papers) and Speech Recognition and Synthesis (4 papers). Miguel Angrick collaborates with scholars based in United States, Netherlands and Germany. Miguel Angrick's co-authors include Tanja Schultz, Christian Herff, Dean J. Krusienski, Emily M. Mugler, Marc W. Slutzky, Matthew C. Tate, Lorenz Diener, Pieter Kubben, Matthew Goldrick and Albert Colon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Advanced Science.

In The Last Decade

Miguel Angrick

17 papers receiving 444 citations

Peers

Countries citing papers authored by Miguel Angrick

Since Specialization

Citations

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

Fields of papers citing papers by Miguel Angrick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Angrick

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Angrick. A scholar is included among the top collaborators of Miguel Angrick 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 Miguel Angrick. Miguel Angrick 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	Real-time detection of spoken speech from unlabeled ECoG signals: a pilot study with an ALS participant 2025 ·Journal of Neural Engineering ·Miguel Angrick, Shiyu Luo, Qinwan Rabbani, (unknown), (unknown), Griffin Milsap, Chad R. Gordon, (unknown), Lora Clawson, Nicholas J. Maragakis, Francesco V. Tenore, Matthew S. Fifer, Nick F. Ramsey, Nathan E. Crone	1
2	A click-based electrocorticographic brain-computer interface enables long-term high-performance switch scan spelling 2024 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Shiyu Luo, Miguel Angrick, Qinwan Rabbani, Christopher Coogan, Griffin Milsap, Kevin Nathan, Brock A. Wester, William S. Anderson, (unknown), (unknown), Lora Clawson, Nicholas J. Maragakis, Mariska J. Vansteensel, Francesco V. Tenore, Nick F. Ramsey, Matthew S. Fifer, Nathan E. Crone	4
3	Online speech synthesis using a chronically implanted brain–computer interface in an individual with ALS 2024 ·Scientific Reports ·Miguel Angrick, Shiyu Luo, Qinwan Rabbani, (unknown), (unknown), Griffin Milsap, William S. Anderson, Chad R. Gordon, (unknown), Lora Clawson, Donna Tippett, Nicholas J. Maragakis, Francesco V. Tenore, Matthew S. Fifer, Hynek Heřmanský, Nick F. Ramsey, Nathan E. Crone	29
4	Stable Decoding from a Speech BCI Enables Control for an Individual with ALS without Recalibration for 3 Months 2023 ·Advanced Science ·Shiyu Luo, Miguel Angrick, Christopher Coogan, (unknown), (unknown), (unknown), Qinwan Rabbani, Griffin Milsap, (unknown), William S. Anderson, Donna Tippett, Nicholas J. Maragakis, Lora Clawson, Mariska J. Vansteensel, Brock A. Wester, Francesco V. Tenore, Hynek Heřmanský, Matthew S. Fifer, Nick F. Ramsey, Nathan E. Crone	39
5	Synthesizing Speech from Intracranial Depth Electrodes using an Encoder-Decoder Framework 2022 ·Repository for Publications and Research Data (ETH Zurich) ·Jonas Köhler, (unknown), (unknown), Miguel Angrick, (unknown), Louis K. Wagner, Simon Tousseyn, Pieter Kubben, Christian Herff	21
6	Towards Closed-Loop Speech Synthesis from Stereotactic EEG: A Unit Selection Approach 2022 ·ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·Miguel Angrick, (unknown), Lorenz Diener, (unknown), (unknown), (unknown), Albert Colon, (unknown), Dean J. Krusienski, Pieter Kubben, Tanja Schultz, Christian Herff	10
7	Real-time synthesis of imagined speech processes from minimally invasive recordings of neural activity 2021 ·Communications Biology ·Miguel Angrick, (unknown), Lorenz Diener, (unknown), (unknown), (unknown), (unknown), Albert Colon, (unknown), Dean J. Krusienski, Pieter Kubben, Tanja Schultz, Christian Herff	73
8	Speech Synthesis from Stereotactic EEG using an Electrode Shaft Dependent Multi-Input Convolutional Neural Network Approach 2021 ·2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) ·Miguel Angrick, (unknown), (unknown), Albert Colon, (unknown), Dean J. Krusienski, Pieter Kubben, Tanja Schultz, Christian Herff	7
9	Speech Activity Detection from Stereotactic EEG 2021 ·2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ·(unknown), Miguel Angrick, Jerry J. Shih, Tanja Schultz, Dean J. Krusienski	7
10	Speech Spectrogram Estimation from Intracranial Brain Activity Using a Quantization Approach 2020 ·Research Publications (Maastricht University) ·Miguel Angrick, Christian Herff, (unknown), Jerry J. Shih, Dean J. Krusienski, Tanja Schultz	5
11	Generating Natural, Intelligible Speech From Brain Activity in Motor, Premotor, and Inferior Frontal Cortices 2019 ·Frontiers in Neuroscience ·Christian Herff, Lorenz Diener, Miguel Angrick, Emily M. Mugler, Matthew C. Tate, Matthew Goldrick, Dean J. Krusienski, Marc W. Slutzky, Tanja Schultz	76
12	Speech synthesis from ECoG using densely connected 3D convolutional neural networks 2019 ·Journal of Neural Engineering ·Miguel Angrick, Christian Herff, Emily M. Mugler, Matthew C. Tate, Marc W. Slutzky, Dean J. Krusienski, Tanja Schultz	140
13	Interpretation of convolutional neural networks for speech spectrogram regression from intracranial recordings 2019 ·Neurocomputing ·Miguel Angrick, Christian Herff, (unknown), Jerry J. Shih, Dean J. Krusienski, Tanja Schultz	20
14	Towards Restoration of Articulatory Movements: Functional Electrical Stimulation of Orofacial Muscles 2019 ·PubMed ·Tanja Schultz, Miguel Angrick, Lorenz Diener, Dennis Küster, (unknown), Dean J. Krusienski, Christian Herff, Jonathan S. Brumberg	1
15	Session-Independent Array-Based EMG-to-Speech Conversion using Convolutional Neural Networks. 2018 ·Lorenz Diener, (unknown), Miguel Angrick, Tanja Schultz	8
16	interpretation of convolutional neural networks for speech regression from electrocorticography. 2018 ·The European Symposium on Artificial Neural Networks ·Miguel Angrick, Christian Herff, (unknown), Jerry J. Shih, Dean J. Krusienski, Tanja Schultz	1
17	Investigating the Effect of Audio Duration on Dementia Detection Using Acoustic Features 2018 ·Jochen Weiner, Miguel Angrick, S. Umesh, Tanja Schultz	15

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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