John Granacki

862 total citations
19 papers, 539 citations indexed

About

John Granacki is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, John Granacki has authored 19 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 10 papers in Cellular and Molecular Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in John Granacki's work include Advanced Memory and Neural Computing (9 papers), Neuroscience and Neural Engineering (9 papers) and Neural dynamics and brain function (4 papers). John Granacki is often cited by papers focused on Advanced Memory and Neural Computing (9 papers), Neuroscience and Neural Engineering (9 papers) and Neural dynamics and brain function (4 papers). John Granacki collaborates with scholars based in United States. John Granacki's co-authors include Jeff LaCoss, Alice C. Parker, Jeff Draper, Jaewook Shin, Jack Wills, Mary Hall, Jacqueline Chame, Theodore W. Berger, Vasilis Z. Marmarelis and Tim Barrett and has published in prestigious journals such as BMC Cancer, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Journal of Neuroscience Methods.

In The Last Decade

John Granacki

19 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Granacki United States	9	274	239	217	133	130	19	539
Jeff LaCoss United States	8	228 0.8×	204 0.9×	204 0.9×	130 1.0×	127 1.0×	12	462
Anju P. Johnson United Kingdom	11	314 1.1×	294 1.2×	161 0.7×	68 0.5×	113 0.9×	27	601
Javier Navaridas United Kingdom	16	227 0.8×	402 1.7×	397 1.8×	61 0.5×	75 0.6×	73	728
H. Ekin Sumbul United States	10	184 0.7×	346 1.4×	135 0.6×	67 0.5×	65 0.5×	24	522
Shuangchen Li China	9	156 0.6×	573 2.4×	111 0.5×	49 0.4×	73 0.6×	25	682
José Tierno United States	13	259 0.9×	909 3.8×	111 0.5×	100 0.8×	107 0.8×	20	978
Anh Tuan Singapore	13	163 0.6×	506 2.1×	70 0.3×	90 0.7×	119 0.9×	78	652
J.V. Woods United Kingdom	10	272 1.0×	326 1.4×	162 0.7×	37 0.3×	42 0.3×	22	455
Linwei Niu United States	13	383 1.4×	108 0.5×	144 0.7×	85 0.6×	48 0.4×	50	536
Rawan Naous United States	12	162 0.6×	777 3.3×	89 0.4×	110 0.8×	171 1.3×	21	851

Countries citing papers authored by John Granacki

Since Specialization

Citations

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

Fields of papers citing papers by John Granacki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Granacki

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

All Works

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19 of 19 papers shown

1.

Song, Dong, Brian S. Robinson, John Granacki, & Theodore W. Berger. (2014). Implementing spiking neuron model and spike-timing-dependent plasticity with generalized Laguerre-Volterra models. PubMed. 18. 714–717. 4 indexed citations

2.

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

3.

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

4.

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

5.

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

6.

Fang, Xiang, et al.. (2007). Novel Charge-Metering Stimulus Amplifier for Biomimetic Implantable Prosthesis. 20 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. PubMed. 2006. 4396–4399. 12 indexed citations

8.

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

9.

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

10.

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

11.

Granacki, John, et al.. (2002). MONARCH: A Morphable Networked micro-ARCHitecture. BMC Cancer. 18(1). 206–206. 7 indexed citations

12.

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

13.

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

14.

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

15.

Granacki, John, et al.. (1987). Understanding system specifications written in natural language. International Joint Conference on Artificial Intelligence. 688–691. 3 indexed citations

16.

Arens, Yigal, John Granacki, & Alice C. Parker. (1987). Phrasal analysis of long noun sequences. 59–64. 7 indexed citations

17.

Granacki, John, et al.. (1985). The ADAM Advanced Design Automation System: Overview, Planner and Natural Language Interface. Design Automation Conference. 727–730. 48 indexed citations

18.

Granacki, John, et al.. (1985). The ADAM advanced design automation system. 727–730. 2 indexed citations

19.

Granacki, John & Alice C. Parker. (1983). The Effect of Register-Transfer Design Tradeoffs on Chip Area and Performance. Design Automation Conference. 419–424. 6 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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