Daniel Elbrecht

454 total citations
7 papers, 235 citations indexed

About

Daniel Elbrecht is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Daniel Elbrecht has authored 7 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 3 papers in Electrical and Electronic Engineering and 3 papers in Biomedical Engineering. Recurrent topics in Daniel Elbrecht's work include Advanced Memory and Neural Computing (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers) and Neural dynamics and brain function (3 papers). Daniel Elbrecht is often cited by papers focused on Advanced Memory and Neural Computing (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers) and Neural dynamics and brain function (3 papers). Daniel Elbrecht collaborates with scholars based in United States and Switzerland. Daniel Elbrecht's co-authors include Michael L. Shuler, James J. Hickman, Christopher J. Long, John W. Rumsey, Lee Bridges, Christopher W. McAleer, Adrian Roth, Ying I. Wang, Mark T. Schnepper and Franz Schuler and has published in prestigious journals such as Science Translational Medicine, Advanced Science and MRS Communications.

In The Last Decade

Daniel Elbrecht

7 papers receiving 225 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Elbrecht United States	4	183	64	45	31	14	7	235
Mark T. Schnepper United States	3	183 1.0×	71 1.1×	54 1.2×	28 0.9×	9 0.6×	4	235
Janny van den Eijnden–van Raaij Netherlands	4	177 1.0×	56 0.9×	53 1.2×	59 1.9×	8 0.6×	4	251
Michael Shockley United States	4	121 0.7×	43 0.7×	22 0.5×	22 0.7×	7 0.5×	7	203
Crystal Yuri Oh United States	4	161 0.9×	103 1.6×	20 0.4×	17 0.5×	15 1.1×	4	277
Kenneth N. Aycock United States	9	179 1.0×	59 0.9×	33 0.7×	19 0.6×	44 3.1×	23	360
Ben Lai China	7	222 1.2×	148 2.3×	46 1.0×	19 0.6×	3 0.2×	12	391
J Böttger Germany	8	100 0.5×	69 1.1×	13 0.3×	29 0.9×	7 0.5×	12	268
Linda Gijzen Netherlands	6	198 1.1×	128 2.0×	31 0.7×	58 1.9×	5 0.4×	10	318
Emily Suter United States	2	96 0.5×	46 0.7×	18 0.4×	26 0.8×	35 2.5×	3	169

Countries citing papers authored by Daniel Elbrecht

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Elbrecht

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Elbrecht

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

All Works

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7 of 7 papers shown

Rumsey, John W., Christopher W. McAleer, Lee Bridges, et al.. (2020). Differential Monocyte Actuation in a Three‐Organ Functional Innate Immune System‐on‐a‐Chip. Advanced Science. 7(13). 2000323–2000323. 70 indexed citations

Elbrecht, Daniel & Catherine D. Schuman. (2020). Neuroevolution of Spiking Neural Networks Using Compositional Pattern Producing Networks. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–5. 7 indexed citations

Elbrecht, Daniel, Shruti Kulkarni, Maryam Parsa, J. Parker Mitchell, & Catherine D. Schuman. (2020). Evolving Ensembles of Spiking Neural Networks for Neuromorphic Systems. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1989–1994. 3 indexed citations

Elbrecht, Daniel, Maryam Parsa, Shruti Kulkarni, J. Parker Mitchell, & Catherine D. Schuman. (2020). Training Spiking Neural Networks Using Combined Learning Approaches. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 48. 1995–2001. 1 indexed citations

McAleer, Christopher W., Christopher J. Long, Daniel Elbrecht, et al.. (2019). Multi-organ system for the evaluation of efficacy and off-target toxicity of anticancer therapeutics. Science Translational Medicine. 11(497). 141 indexed citations

Long, Christopher J., Mandy B. Esch, Jean‐Matthieu Prot, et al.. (2019). Piezoelectric bioMEMS cantilever for measurement of muscle contraction and for actuation of mechanosensitive cells. MRS Communications. 9(4). 1186–1192. 11 indexed citations

Elbrecht, Daniel, et al.. (2013). Nanoproteomics: The Convergence of Protein Science and Nanotechnology with Important Applications for Bio-Element Metal and etal Oxide Nanoparticles. BearWorks (Missouri State University). 2(5). 365–381. 2 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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