Stephen Deiss

1.9k total citations · 2 hit papers
25 papers, 1.2k citations indexed

About

Stephen Deiss is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Stephen Deiss has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 11 papers in Electrical and Electronic Engineering and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Stephen Deiss's work include Advanced Memory and Neural Computing (10 papers), EEG and Brain-Computer Interfaces (9 papers) and Neuroscience and Neural Engineering (8 papers). Stephen Deiss is often cited by papers focused on Advanced Memory and Neural Computing (10 papers), EEG and Brain-Computer Interfaces (9 papers) and Neuroscience and Neural Engineering (8 papers). Stephen Deiss collaborates with scholars based in United States, Taiwan and China. Stephen Deiss's co-authors include Gert Cauwenberghs, Thomas J. Sullivan, Siddharth Joshi, H.‐S. Philip Wong, Huaqiang Wu, Weier Wan, Rajkumar Kubendran, Sukru Burc Eryilmaz, Wenqiang Zhang and Bin Gao and has published in prestigious journals such as Nature, PLoS Computational Biology and Frontiers in Neuroscience.

In The Last Decade

Stephen Deiss

24 papers receiving 1.1k 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.

A compute-in-memory chip based on resistive random-access memory

2022 511 citations Weier Wan, Rajkumar Kubendran et al. Nature profile →
In-ear integrated sensor array for the continuous monitoring of brain activity and of lactate in sweat

2023 100 citations Yuchen Xu, Ernesto De la Paz et al. Nature Biomedical Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen Deiss United States	12	697	347	333	323	152	25	1.2k
Christos Papavassiliou United Kingdom	17	1.1k 1.6×	309 0.9×	304 0.9×	472 1.5×	79 0.5×	108	1.6k
Byung‐Geun Lee South Korea	21	1000 1.4×	328 0.9×	192 0.6×	376 1.2×	176 1.2×	60	1.4k
Vignesh Ravichandran United States	10	449 0.6×	172 0.5×	151 0.5×	273 0.8×	56 0.4×	18	676
Melika Payvand Switzerland	19	1.1k 1.6×	153 0.4×	450 1.4×	453 1.4×	344 2.3×	44	1.4k
Srinjoy Mitra United Kingdom	21	1.0k 1.4×	715 2.1×	713 2.1×	945 2.9×	99 0.7×	85	1.7k
Ali Moin United States	9	332 0.5×	535 1.5×	307 0.9×	256 0.8×	63 0.4×	13	910
Torsten Lehmann Australia	18	1.0k 1.5×	505 1.5×	208 0.6×	400 1.2×	177 1.2×	116	1.3k
Dina El-Damak United States	14	548 0.8×	361 1.0×	164 0.5×	192 0.6×	77 0.5×	27	1.1k
Milutin Stanaćević United States	18	1.1k 1.6×	721 2.1×	116 0.3×	331 1.0×	54 0.4×	119	1.6k
Christoph Maier United States	14	444 0.6×	292 0.8×	397 1.2×	389 1.2×	44 0.3×	31	870

Countries citing papers authored by Stephen Deiss

Since Specialization

Citations

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

Fields of papers citing papers by Stephen Deiss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Deiss

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Paul, Akshay, et al.. (2023). A Versatile In-Ear Biosensing System and Body-Area Network for Unobtrusive Continuous Health Monitoring. IEEE Transactions on Biomedical Circuits and Systems. 17(3). 483–494. 23 indexed citations

Xu, Yuchen, Ernesto De la Paz, Akshay Paul, et al.. (2023). In-ear integrated sensor array for the continuous monitoring of brain activity and of lactate in sweat. Nature Biomedical Engineering. 7(10). 1307–1320. 100 indexed citations breakdown →

Xu, Yuchen, Ernesto De la Paz, Akshay Paul, et al.. (2023). In-ear integrated sensor array for the continuous monitoring of brain activity and of lactate in sweat. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Wan, Weier, Rajkumar Kubendran, Clemens Schaefer, et al.. (2022). A compute-in-memory chip based on resistive random-access memory. Nature. 608(7923). 504–512. 511 indexed citations breakdown →

Deiss, Stephen, et al.. (2022). Hierarchical Network Connectivity and Partitioning for Reconfigurable Large-Scale Neuromorphic Systems. Frontiers in Neuroscience. 15. 797654–797654. 6 indexed citations

Paul, Akshay, et al.. (2022). A Versatile In-Ear Biosensing System for Continuous Brain and Health Monitoring. 2022 IEEE International Symposium on Circuits and Systems (ISCAS). 620–624. 5 indexed citations

Deiss, Stephen, et al.. (2021). Hierarchical Network Partitioning for Reconfigurable Large-Scale Neuromorphic Systems. 15. 74–78. 2 indexed citations

Wan, Weier, Rajkumar Kubendran, Sukru Burc Eryilmaz, et al.. (2020). 33.1 A 74 TMACS/W CMOS-RRAM Neurosynaptic Core with Dynamically Reconfigurable Dataflow and In-situ Transposable Weights for Probabilistic Graphical Models. 498–500. 106 indexed citations

Pedroni, Bruno U., Siddharth Joshi, Stephen Deiss, et al.. (2019). Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity. Frontiers in Neuroscience. 13. 357–357. 14 indexed citations

10.

Paul, Akshay, et al.. (2019). Integrated In-Ear Device for Auditory Health Assessment. PubMed. 2019. 56–59. 13 indexed citations

11.

Paul, Akshay, et al.. (2019). Electrode-Skin Impedance Characterization of In-Ear Electrophysiology Accounting for Cerumen and Electrodermal Response. 855–858. 13 indexed citations

12.

Mak-McCully, Rachel A., Stephen Deiss, Burke Q. Rosen, et al.. (2014). Synchronization of Isolated Downstates (K-Complexes) May Be Caused by Cortically-Induced Disruption of Thalamic Spindling. PLoS Computational Biology. 10(9). e1003855–e1003855. 23 indexed citations

13.

Yu, Miao, Stephen Deiss, & Gert Cauwenberghs. (2009). Non-contact Low Power EEG/ECG Electrode for High Density Wearable Biopotential Sensor Networks. 246–250. 96 indexed citations

14.

Sullivan, Thomas J., Stephen Deiss, & Gert Cauwenberghs. (2007). A Low-Noise, Non-Contact EEG/ECG Sensor. 154–157. 148 indexed citations

15.

Sullivan, Thomas J., Stephen Deiss, Gert Cauwenberghs, & Tzyy‐Ping Jung. (2007). A low-noise low-power EEG acquisition node for scalable brain-machine interfaces. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6592. 659203–659203. 14 indexed citations

16.

Tam, Simon, et al.. (2003). A reconfigurable multi-chip analog neural network: recognition and back-propagation training. 2. 625–630. 1 indexed citations

17.

Deiss, Stephen. (2002). Connectionism without the connections. 2. 1217–1221. 3 indexed citations

18.

Deiss, Stephen & D.B. Gustavson. (1983). Software for Managing Multicrate FASTBUS Systems. IEEE Transactions on Nuclear Science. 30(1). 252–256. 2 indexed citations

19.

Deiss, Stephen. (1983). A FASTBUS Controller Module Using a MULTIBUS MPU. IEEE Transactions on Nuclear Science. 30(1). 216–219. 6 indexed citations

20.

Deiss, Stephen, et al.. (1981). Applicability of the FASTBUS Standard to Distributed Control. IEEE Transactions on Nuclear Science. 28(3). 2222–2224. 3 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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