Suzanne J. Matthews

565 total citations
50 papers, 355 citations indexed

About

Suzanne J. Matthews is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Suzanne J. Matthews has authored 50 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 12 papers in Hardware and Architecture and 10 papers in Information Systems. Recurrent topics in Suzanne J. Matthews's work include Distributed and Parallel Computing Systems (10 papers), Parallel Computing and Optimization Techniques (10 papers) and Genomics and Phylogenetic Studies (7 papers). Suzanne J. Matthews is often cited by papers focused on Distributed and Parallel Computing Systems (10 papers), Parallel Computing and Optimization Techniques (10 papers) and Genomics and Phylogenetic Studies (7 papers). Suzanne J. Matthews collaborates with scholars based in United States, Puerto Rico and Canada. Suzanne J. Matthews's co-authors include Tiffani L. Williams, Aaron St. Leger, Joel C. Adams, Elizabeth Shoop, Richard A. Brown, Katalin Szlávecz, Alexander S. Szalay, Chieh-Jan Mike Liang, Xia Li and Alexandros Terzis and has published in prestigious journals such as BMC Bioinformatics, Proteins Structure Function and Bioinformatics and Journal of Parallel and Distributed Computing.

In The Last Decade

Suzanne J. Matthews

42 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suzanne J. Matthews United States	12	158	90	88	51	48	50	355
Karolj Skala Croatia	11	164 1.0×	83 0.9×	57 0.6×	60 1.2×	20 0.4×	69	453
Masato Yoshimi Japan	10	111 0.7×	32 0.4×	42 0.5×	36 0.7×	67 1.4×	65	270
Jaspreet Singh India	12	204 1.3×	122 1.4×	72 0.8×	87 1.7×	7 0.1×	78	443
Kwame-Lante Wright United States	9	218 1.4×	173 1.9×	54 0.6×	41 0.8×	43 0.9×	12	327
Mengyuan Li China	8	298 1.9×	249 2.8×	135 1.5×	81 1.6×	23 0.5×	16	476
Daniel Hein Austria	9	173 1.1×	97 1.1×	58 0.7×	96 1.9×	38 0.8×	30	299
Chien‐Hung Chen Taiwan	13	180 1.1×	165 1.8×	45 0.5×	96 1.9×	32 0.7×	46	502
Jereme Haack United States	11	136 0.9×	75 0.8×	112 1.3×	71 1.4×	6 0.1×	27	341
Frank Austin Nothaft United States	8	277 1.8×	145 1.6×	141 1.6×	97 1.9×	197 4.1×	13	529
Olivier Richard France	10	463 2.9×	245 2.7×	32 0.4×	37 0.7×	145 3.0×	37	692

Countries citing papers authored by Suzanne J. Matthews

Since Specialization

Citations

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

Fields of papers citing papers by Suzanne J. Matthews

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne J. Matthews. 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 Suzanne J. Matthews. The network helps show where Suzanne J. Matthews may publish in the future.

Co-authorship network of co-authors of Suzanne J. Matthews

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne J. Matthews. A scholar is included among the top collaborators of Suzanne J. Matthews 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 Suzanne J. Matthews. Suzanne J. Matthews 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

Newhall, Tia, et al.. (2025). ASM Visualizer: A Learning Tool for Assembly Programming. 840–846.

Matthews, Suzanne J., et al.. (2025). Fostering Creativity: Student-Generative AI Teaming in an Open-Ended CS0 Assignment. 339–345.

Shoop, Elizabeth, Suzanne J. Matthews, Richard J. C. Brown, & Joel C. Adams. (2024). Hands-on parallel & distributed computing with Raspberry Pi devices and clusters. Journal of Parallel and Distributed Computing. 196. 104996–104996.

Leger, Aaron St., et al.. (2023). A Comparative Study of Programming Languages for a Real-Time Smart Grid Application. 1–6. 1 indexed citations

Matthews, Suzanne J., et al.. (2023). Evaluating FFT performance of the C and Rust Languages on Raspberry Pi platforms. 1–6. 3 indexed citations

Shoop, Elizabeth, Richard A. Brown, Joel C. Adams, & Suzanne J. Matthews. (2022). Teaching Distributed Computing Fundamentals using Raspberry Pi Clusters. 1201–1201.

Matthews, Suzanne J.. (2020). PDCunplugged: A Free Repository of Unplugged Parallel Distributed Computing Activities. 284–291. 11 indexed citations

Matthews, Suzanne J., Joel C. Adams, Richard A. Brown, & Elizabeth Shoop. (2018). Portable Parallel Computing with the Raspberry Pi. 92–97. 22 indexed citations

Leger, Aaron St., et al.. (2017). Investigating a Raspberry Pi cluster for detecting anomalies in the smart grid. 1–4. 7 indexed citations

10.

Matthews, Suzanne J. & Aaron St. Leger. (2017). Leveraging MapReduce and Synchrophasors for Real-Time Anomaly Detection in the Smart Grid. IEEE Transactions on Emerging Topics in Computing. 7(3). 392–403. 20 indexed citations

11.

George, Glover, et al.. (2017). Measuring I/O Performance of Lustre and the Temporary File System for Tradespace Applications on HPC Systems. 187–190.

12.

Chewar, C. M. & Suzanne J. Matthews. (2016). Lights, camera, action!: video deliverables for programming projects. Journal of computing sciences in colleges. 31(3). 8–17. 2 indexed citations

13.

Matthews, Suzanne J.. (2016). Teaching with parallella: a first look in an undergraduate parallel computing course. Journal of computing sciences in colleges. 31(3). 18–27. 12 indexed citations

14.

Adams, Joel C., et al.. (2016). The Micro-Cluster Showcase. 82–83. 9 indexed citations

15.

Matthews, Suzanne J., et al.. (2016). Applying clustering algorithms to determine authorship of chinese twitter messages. 5. 1–4. 4 indexed citations

16.

Matthews, Suzanne J.. (2014). Heterogeneous Compression of Large Collections of Evolutionary Trees. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 12(4). 807–814.

17.

Ramakrishnan, Vibin, et al.. (2011). Geofold: Topology‐based protein unfolding pathways capture the effects of engineered disulfides on kinetic stability. Proteins Structure Function and Bioinformatics. 80(3). 920–934. 17 indexed citations

18.

Matthews, Suzanne J. & Tiffani L. Williams. (2010). MrsRF: an efficient MapReduce algorithm for analyzing large collections of evolutionary trees. BMC Bioinformatics. 11(S1). S15–S15. 35 indexed citations

19.

Matthews, Suzanne J., et al.. (2009). Using tree diversity to compare phylogenetic heuristics. BMC Bioinformatics. 10(S4). S3–S3. 9 indexed citations

20.

Szlávecz, Katalin, Alexandros Terzis, Alexander S. Szalay, et al.. (2008). Life Under Your Feet: A Wireless Soil Ecology Sensor Network. AGU Fall Meeting Abstracts. 2008. 51 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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