Jeff LaCoss

694 total citations
12 papers, 462 citations indexed

About

Jeff LaCoss is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Jeff LaCoss has authored 12 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 8 papers in Electrical and Electronic Engineering and 5 papers in Cognitive Neuroscience. Recurrent topics in Jeff LaCoss's work include Neuroscience and Neural Engineering (9 papers), Advanced Memory and Neural Computing (8 papers) and Analog and Mixed-Signal Circuit Design (4 papers). Jeff LaCoss is often cited by papers focused on Neuroscience and Neural Engineering (9 papers), Advanced Memory and Neural Computing (8 papers) and Analog and Mixed-Signal Circuit Design (4 papers). Jeff LaCoss collaborates with scholars based in United States. Jeff LaCoss's co-authors include John Granacki, Jeff Draper, Jaewook Shin, Jack Wills, Mary Hall, Jacqueline Chame, Vasilis Z. Marmarelis, Theodore W. Berger, Tim Barrett and Craig S. Steele and has published in prestigious journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Journal of Neuroscience Methods and Conference proceedings.

In The Last Decade

Jeff LaCoss

12 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeff LaCoss United States	8	228	204	204	130	127	12	462
John Granacki United States	9	274 1.2×	239 1.2×	217 1.1×	133 1.0×	130 1.0×	19	539
H. Ekin Sumbul United States	10	184 0.8×	346 1.7×	135 0.7×	67 0.5×	65 0.5×	24	522
Shuangchen Li China	9	156 0.7×	573 2.8×	111 0.5×	49 0.4×	73 0.6×	25	682
Javier Navaridas United Kingdom	16	227 1.0×	402 2.0×	397 1.9×	61 0.5×	75 0.6×	73	728
José Tierno United States	13	259 1.1×	909 4.5×	111 0.5×	100 0.8×	107 0.8×	20	978
Rawan Naous United States	12	162 0.7×	777 3.8×	89 0.4×	110 0.8×	171 1.3×	21	851
Georg Ellguth Germany	12	53 0.2×	324 1.6×	68 0.3×	84 0.6×	101 0.8×	24	370
Richard Linderman United States	10	74 0.3×	387 1.9×	84 0.4×	95 0.7×	158 1.2×	43	574
Seamus Cawley Ireland	11	49 0.2×	322 1.6×	66 0.3×	77 0.6×	185 1.5×	20	390
J.V. Woods United Kingdom	10	272 1.2×	326 1.6×	162 0.8×	37 0.3×	42 0.3×	22	455

Countries citing papers authored by Jeff LaCoss

Since Specialization

Citations

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

Fields of papers citing papers by Jeff LaCoss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff LaCoss

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

All Works

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12 of 12 papers shown

1.

Berger, Theodore W., Dong Song, Rosa H. M. Chan, et al.. (2012). A Hippocampal Cognitive Prosthesis: Multi-Input, Multi-Output Nonlinear Modeling and VLSI Implementation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 20(2). 198–211. 104 indexed citations

2.

Fang, Xiang, et al.. (2009). CMOS 12 bits 50kS/s micropower SAR and dual-slope hybrid ADC. 180–183. 12 indexed citations

3.

Fang, Xiang, et al.. (2008). CMOS charge-metering microstimulator for implantable prosthetic device. 4 indexed citations

4.

Wills, Jack, et al.. (2007). A Novel Variable-Gain Micro-Power Band-Pass Auto-Zeroing CMOS Amplifier. 337–340. 8 indexed citations

5.

Fang, Xiang, et al.. (2007). Novel Charge-Metering Stimulus Amplifier for Biomimetic Implantable Prosthesis. 20 indexed citations

6.

Srinivasan, Vijay, Ashish Ahuja, Theodoros P. Zanos, et al.. (2006). VLSI Implementation of a Nonlinear Neuronal Model: A "Neural Prosthesis" to Restore Hippocampal Trisynaptic Dynamics. PubMed. 2006. 4396–4399. 12 indexed citations

7.

Srinivasan, Vijay, Ashish Ahuja, Theodoros P. Zanos, et al.. (2006). VLSI Implementation of a Nonlinear Neuronal Model: A "Neural Prosthesis" to Restore Hippocampal Trisynaptic Dynamics. Conference proceedings. 1 indexed citations

8.

Wills, Jack, et al.. (2006). A micro-power low-noise auto-zeroing CMOS amplifier for cortical neural prostheses. 214–217. 4 indexed citations

9.

Gholmieh, Ghassan, Spiros H. Courellis, Angelika Dimoka, et al.. (2004). An algorithm for real-time extraction of population EPSP and population spike amplitudes from hippocampal field potential recordings. Journal of Neuroscience Methods. 136(2). 111–121. 10 indexed citations

10.

Draper, Jeff, Jacqueline Chame, Mary Hall, et al.. (2002). The architecture of the DIVA processing-in-memory chip. 14–25. 150 indexed citations

11.

Draper, Jeff, Jacqueline Chame, Mary Hall, et al.. (2002). The architecture of the DIVA processing-in-memory chip. 14–14. 2 indexed citations

12.

Hall, Mary, Peter M. Kogge, J.G. Koller, et al.. (1999). Mapping irregular applications to DIVA, a PIM-based data-intensive architecture. 57–57. 135 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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