Matthew Cotter

572 total citations
24 papers, 415 citations indexed

About

Matthew Cotter is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Matthew Cotter has authored 24 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Matthew Cotter's work include Advanced Memory and Neural Computing (12 papers), CCD and CMOS Imaging Sensors (8 papers) and Visual Attention and Saliency Detection (5 papers). Matthew Cotter is often cited by papers focused on Advanced Memory and Neural Computing (12 papers), CCD and CMOS Imaging Sensors (8 papers) and Visual Attention and Saliency Detection (5 papers). Matthew Cotter collaborates with scholars based in United States, Italy and Switzerland. Matthew Cotter's co-authors include Vijaykrishnan Narayanan, Suman Datta, Huichu Liu, Nandhini Chandramoorthy, Arijit Raychowdhury, Nikhil Shukla, Abhinav Parihar, Michael DeBole, Ahmed Al Maashri and Vijay Narayanan and has published in prestigious journals such as Immunity, IEEE Transactions on Device and Materials Reliability and Journal of Signal Processing Systems.

In The Last Decade

Matthew Cotter

23 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Cotter United States	13	328	96	85	42	41	24	415
Sohaib Majzoub United Arab Emirates	10	164 0.5×	65 0.7×	71 0.8×	37 0.9×	59 1.4×	54	372
Nandhini Chandramoorthy United States	11	249 0.8×	123 1.3×	95 1.1×	26 0.6×	59 1.4×	27	358
Yukun Ding United States	7	227 0.7×	140 1.5×	84 1.0×	27 0.6×	31 0.8×	14	394
Yi Kang China	9	221 0.7×	75 0.8×	41 0.5×	26 0.6×	30 0.7×	65	308
Gokul Krishnan United States	10	239 0.7×	60 0.6×	57 0.7×	18 0.4×	27 0.7×	26	280
Yuxiang Fu China	11	243 0.7×	92 1.0×	45 0.5×	29 0.7×	60 1.5×	69	377
Mengyun Liu United States	11	366 1.1×	94 1.0×	54 0.6×	11 0.3×	22 0.5×	35	454
Ann Franchesca Laguna United States	13	545 1.7×	143 1.5×	39 0.5×	16 0.4×	41 1.0×	35	669
Yen-Ting Chen Taiwan	7	104 0.3×	93 1.0×	121 1.4×	26 0.6×	54 1.3×	34	401

Countries citing papers authored by Matthew Cotter

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Cotter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Cotter

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

All Works

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20 of 20 papers shown

Cotter, Matthew, et al.. (2019). A Practitioner’s Guide to Optimizing the Interactions Between Modelers and Domain Experts. 1–8. 1 indexed citations

Dahmann, Judith, et al.. (2017). SysML executable systems of system architecture definition: A working example. 1–6. 12 indexed citations

Li, Xueqing, Matthew Jerry, Nikhil Shukla, et al.. (2016). Enabling New Computation Paradigms with HyperFET - An Emerging Device. 2(1). 30–48. 27 indexed citations

Rasheed, Amar, et al.. (2016). Dynamically reconfigurable AES cryptographic core for small, power limited mobile sensors. Zenodo (CERN European Organization for Nuclear Research). 1–7.

Cotter, Matthew, Yan Fang, Steven P. Levitan, Donald M. Chiarulli, & Vijaykrishnan Narayanan. (2014). Computational Architectures Based on Coupled Oscillators. 130–135. 23 indexed citations

Cotter, Matthew, et al.. (2014). A hardware accelerated multilevel visual classifier for embedded visual-assist systems. 96–100. 6 indexed citations

Chandramoorthy, Nandhini, Karthik Swaminathan, Matthew Cotter, et al.. (2014). Understanding the landscape of accelerators for vision. Zenodo (CERN European Organization for Nuclear Research). 1–6. 4 indexed citations

Liu, Huichu, Matthew Cotter, Suman Datta, & Vijaykrishnan Narayanan. (2014). Soft-Error Performance Evaluation on Emerging Low Power Devices. IEEE Transactions on Device and Materials Reliability. 14(2). 732–741. 45 indexed citations

Datta, Suman, Nikhil Shukla, Matthew Cotter, Abhinav Parihar, & Arijit Raychowdhury. (2014). Neuro Inspired Computing with Coupled Relaxation Oscillators. 1–6. 32 indexed citations

10.

Cotter, Matthew, et al.. (2014). A hardware accelerated multilevel visual classifier for embedded visual-assist systems. 96–100. 4 indexed citations

11.

Cotter, Matthew, Huichu Liu, Suman Datta, & Vijaykrishnan Narayanan. (2013). Evaluation of tunnel FET-based flip-flop designs for low power, high performance applications. 430–437. 19 indexed citations

12.

Cotter, Matthew, Sung Min Bae, Vinay Saripalli, et al.. (2013). Design of energy‐efficient circuits and systems using tunnel field effect transistors. IET Circuits Devices & Systems. 7(5). 294–303. 8 indexed citations

13.

Maashri, Ahmed Al, Michael DeBole, Matthew Cotter, et al.. (2012). Accelerating neuromorphic vision algorithms for recognition. 579–584. 42 indexed citations

14.

Cotter, Matthew, et al.. (2012). Ultra Low Power Circuit Design Using Tunnel FETs. 153–158. 30 indexed citations

15.

Maashri, Ahmed Al, Matthew Cotter, Nandhini Chandramoorthy, et al.. (2012). Hardware Acceleration for Neuromorphic Vision Algorithms. Journal of Signal Processing Systems. 70(2). 163–175. 5 indexed citations

16.

Park, Sungho, Ahmed Al Maashri, Kevin Irick, et al.. (2012). System-On-Chip for Biologically Inspired Vision Applications. 5(0). 71–95. 15 indexed citations

17.

Liu, Huichu, Matthew Cotter, Suman Datta, & Vijay Narayanan. (2012). Technology assessment of Si and III-V FinFETs and III-V tunnel FETs from soft error rate perspective. 25.5.1–25.5.4. 37 indexed citations

18.

DeBole, Michael, et al.. (2011). A framework for accelerating neuromorphic-vision algorithms on FPGAs. 7444. 810–813. 8 indexed citations

19.

DeBole, Michael, Xiao Yang, Ahmed Al Maashri, et al.. (2011). FPGA-accelerator system for computing biologically inspired feature extraction models. 751–755. 3 indexed citations

20.

Zhou, Jie, Pingyan Cheng, Je‐In Youn, Matthew Cotter, & Dmitry I. Gabrilovich. (2009). Notch and Wingless Signaling Cooperate in Regulation of Dendritic Cell Differentiation. Immunity. 31(2). 356–356. 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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