Daniel Graupe

4.8k total citations
127 papers, 3.5k citations indexed

About

Daniel Graupe is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Daniel Graupe has authored 127 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Biomedical Engineering, 36 papers in Cognitive Neuroscience and 31 papers in Artificial Intelligence. Recurrent topics in Daniel Graupe's work include Muscle activation and electromyography studies (35 papers), EEG and Brain-Computer Interfaces (29 papers) and Neuroscience and Neural Engineering (23 papers). Daniel Graupe is often cited by papers focused on Muscle activation and electromyography studies (35 papers), EEG and Brain-Computer Interfaces (29 papers) and Neuroscience and Neural Engineering (23 papers). Daniel Graupe collaborates with scholars based in United States, Israel and United Kingdom. Daniel Graupe's co-authors include Kate H. Kohn, Vivek Nigam, Hubert Kordylewski, A.A. Beex, Daniela Tuninetti, Michael A. Wincek, Konstantin V. Slavin, Ishita Basu, Aaron S. Field and Jason H. Moore and has published in prestigious journals such as Technometrics, American Journal of Respiratory and Critical Care Medicine and IEEE Transactions on Automatic Control.

In The Last Decade

Daniel Graupe

117 papers receiving 3.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Graupe 1.3k 1.1k 740 669 489 127 3.5k
Yingchun Zhang 919 0.7× 2.1k 1.9× 416 0.6× 367 0.5× 276 0.6× 350 4.8k
Metin Akay 2.1k 1.7× 1.2k 1.1× 503 0.7× 352 0.5× 560 1.1× 220 5.4k
Robert J. Sclabassi 767 0.6× 1.2k 1.1× 720 1.0× 262 0.4× 280 0.6× 278 4.7k
Ganesh R. Naik 2.0k 1.6× 1.8k 1.6× 581 0.8× 405 0.6× 723 1.5× 173 4.3k
Sridhar Krishnan 1.3k 1.0× 1.0k 0.9× 263 0.4× 856 1.3× 1.6k 3.2× 342 5.4k
Javier Escudero 985 0.8× 2.7k 2.4× 473 0.6× 413 0.6× 512 1.0× 165 4.8k
Francesco Carlo Morabito 525 0.4× 2.3k 2.2× 359 0.5× 860 1.3× 914 1.9× 276 6.4k
Tomás Ward 1.5k 1.2× 1.8k 1.6× 489 0.7× 395 0.6× 486 1.0× 225 4.5k
Ravi Vaidyanathan 1.7k 1.4× 596 0.5× 256 0.3× 478 0.7× 131 0.3× 205 6.2k
Varun Bajaj 977 0.8× 3.0k 2.8× 388 0.5× 971 1.5× 1.4k 2.9× 169 5.6k

Countries citing papers authored by Daniel Graupe

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Graupe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Graupe

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Graupe. A scholar is included among the top collaborators of Daniel Graupe 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 Daniel Graupe. Daniel Graupe 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.
Graupe, Daniel. (2018). Principles of Artificial Neural Networks. 14 indexed citations
2.
Graupe, Daniel, et al.. (2018). Who May Benefit From On-Demand Control of Deep Brain Stimulation? Noninvasive Evaluation of Parkinson Patients. Neuromodulation Technology at the Neural Interface. 21(6). 611–616. 6 indexed citations
3.
Waxman, Jonathan, Daniel Graupe, & David W. Carley. (2014). Real-time prediction of disordered breathing events in people with obstructive sleep apnea. Sleep And Breathing. 19(1). 205–212. 3 indexed citations
4.
Graupe, Daniel. (2013). Principles of Artificial Neural Networks. 268 indexed citations
5.
Basu, Ishita, et al.. (2012). A neural network-based design of an on-off adaptive control for Deep Brain Stimulation in movement disorders. PubMed. 2012. 4140–4143. 21 indexed citations
6.
Basu, Ishita, Daniel Graupe, Daniela Tuninetti, & Konstantin V. Slavin. (2010). Stochastic modeling of the neuronal activity in the subthalamic nucleus and model parameter identification from Parkinson patient data. Biological Cybernetics. 103(4). 273–283. 3 indexed citations
7.
Waxman, Jonathan, Daniel Graupe, & David W. Carley. (2009). Automated Prediction of Apnea and Hypopnea, Using a LAMSTAR Artificial Neural Network. American Journal of Respiratory and Critical Care Medicine. 181(7). 727–733. 50 indexed citations
8.
Graupe, Daniel, et al.. (2007). Extracting fetal from maternal ECG for early diagnosis: theoretical problems and solutions - BAF and ICA. 352–356. 4 indexed citations
9.
Nigam, Vivek & Daniel Graupe. (2004). A neural-network-based detection of epilepsy. Neurological Research. 26(1). 55–60. 280 indexed citations
10.
Graupe, Daniel. (2002). An overview of the state of the art of noninvasive FES for independent ambulation by thoracic level paraplegics. Neurological Research. 24(5). 431–442. 18 indexed citations
11.
12.
Graupe, Daniel, Ross Davis, Hubert Kordylewski, & Kate H. Kohn. (1998). Ambulation by traumatic T4-12 paraplegics using functional neuromuscular stimulation. PubMed. 8(4). 221–231. 27 indexed citations
13.
Graupe, Daniel & Kate H. Kohn. (1998). Functional neuromuscular stimulator for short-distance ambulation by certain thoracic-level spinal-cord-injured paraplegics. Surgical Neurology. 50(3). 202–207. 67 indexed citations
14.
Fang, Jianjun, Bhagwan T. Shahani, & Daniel Graupe. (1997). Motor unit number estimation by spatial-temporal summation of single motor unit potentials. Muscle & Nerve. 20(4). 461–468. 5 indexed citations
15.
Field, Aaron S. & Daniel Graupe. (1991). Topographic component (Parallel Factor) analysis of multichannel evoked potentials: Practical issues in trilinear spatiotemporal decomposition. Brain Topography. 3(4). 407–423. 44 indexed citations
16.
Mizrahi, J., et al.. (1985). Activation of paraplegic patients by functional electrical stimulation: training and biomechanical evaluation.. PubMed. 12. 93–101. 20 indexed citations
17.
Grosspietsch, John & Daniel Graupe. (1982). Filtering for spread spectrum channels with frequency-hop interference. Global Communications Conference. 1. 463–467.
18.
Graupe, Daniel, et al.. (1979). Limb function discrimination performance using EMG parameter identification. IEEE Transactions on Automatic Control. 16(16). 426–428. 1 indexed citations
19.
Graupe, Daniel. (1979). Certain applications of time-series analysis to biomedical engineering. IEEE Transactions on Automatic Control. 16(16). 728–730. 2 indexed citations
20.
Graupe, Daniel, et al.. (1977). A multifunctional prosthesis control system based on time series identification of EMG signals using microprocessors.. PubMed. 10(27). 4–16. 17 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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