Matthew L. Dering

515 total citations
13 papers, 399 citations indexed

About

Matthew L. Dering is a scholar working on Signal Processing, Software and Computer Networks and Communications. According to data from OpenAlex, Matthew L. Dering has authored 13 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Signal Processing, 5 papers in Software and 3 papers in Computer Networks and Communications. Recurrent topics in Matthew L. Dering's work include Software Testing and Debugging Techniques (5 papers), Advanced Malware Detection Techniques (5 papers) and Manufacturing Process and Optimization (3 papers). Matthew L. Dering is often cited by papers focused on Software Testing and Debugging Techniques (5 papers), Advanced Malware Detection Techniques (5 papers) and Manufacturing Process and Optimization (3 papers). Matthew L. Dering collaborates with scholars based in United States, Luxembourg and Germany. Matthew L. Dering's co-authors include Patrick McDaniel, Somesh Jha, Damien Octeau, Daniel Luchaup, Conrad S. Tucker, Alexandre Bartel, Li Li, Jacques Klein, Yves Le Traon and Soundar Kumara and has published in prestigious journals such as IEEE Transactions on Systems Man and Cybernetics Systems, Journal of Mechanical Design and ACM SIGPLAN Notices.

In The Last Decade

Matthew L. Dering

12 papers receiving 391 citations

Peers

Matthew L. Dering

SP

SOFTW

IS

CNC

AI

Tobias Roehm Germany

Jun Ai China

Xiaobo Ma China

Yongqiang Lü China

Marwan Omar United States

Duc Minh Le Vietnam

Xiaoqing Gong China

Munam Ali Pakistan

Jeevana Priya Inala United States

Kyunghee Choi South Korea

Tobias Roehm Germany

Matthew L. Dering

29 ×0.1

SP

99 ×0.5

SOFTW

292 ×1.6

IS

64 ×0.5

CNC

119 ×1.3

AI

Citations per year, relative to Matthew L. Dering Matthew L. Dering (= 1×) peers Tobias Roehm

Countries citing papers authored by Matthew L. Dering

Since Specialization

Citations

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

Fields of papers citing papers by Matthew L. Dering

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew L. Dering

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

All Works

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13 of 13 papers shown

1.

Dering, Matthew L., et al.. (2018). A Physics-Based Virtual Environment for Enhancing the Quality of Deep Generative Designs. 10 indexed citations

2.

Dering, Matthew L. & Conrad S. Tucker. (2017). Implications of Generative Models in Government.. National Conference on Artificial Intelligence. 158–163. 4 indexed citations

3.

Dering, Matthew L. & Conrad S. Tucker. (2017). Early predicting of student struggles using body language.

4.

Dering, Matthew L. & Conrad S. Tucker. (2017). A Convolutional Neural Network Model for Predicting a Product's Function, Given Its Form. Journal of Mechanical Design. 139(11). 24 indexed citations

5.

Dering, Matthew L., Conrad S. Tucker, & Soundar Kumara. (2017). An Unsupervised Machine Learning Approach to Assessing Designer Performance During Physical Prototyping. Journal of Computing and Information Science in Engineering. 18(1). 14 indexed citations

6.

Dering, Matthew L. & Conrad S. Tucker. (2017). Generative adversarial networks for increasing the veracity of big data. 2595–2602. 15 indexed citations

7.

Octeau, Damien, Somesh Jha, Matthew L. Dering, et al.. (2016). Combining static analysis with probabilistic models to enable market-scale Android inter-component analysis. 469–484. 67 indexed citations

8.

Octeau, Damien, Somesh Jha, Matthew L. Dering, et al.. (2016). Combining static analysis with probabilistic models to enable market-scale Android inter-component analysis. ACM SIGPLAN Notices. 51(1). 469–484. 7 indexed citations

9.

Bodnar, Todd, et al.. (2016). Using Large-Scale Social Media Networks as a Scalable Sensing System for Modeling Real-Time Energy Utilization Patterns. IEEE Transactions on Systems Man and Cybernetics Systems. 47(10). 2627–2640. 16 indexed citations

10.

Octeau, Damien, Daniel Luchaup, Matthew L. Dering, Somesh Jha, & Patrick McDaniel. (2015). Composite Constant Propagation: Application to Android Inter-Component Communication Analysis. 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering. 77–88. 117 indexed citations

11.

Octeau, Damien, Daniel Luchaup, Matthew L. Dering, Somesh Jha, & Patrick McDaniel. (2015). Composite constant propagation: application to Android inter-component communication analysis. International Conference on Software Engineering. 1. 77–88. 110 indexed citations

12.

Dering, Matthew L. & Conrad S. Tucker. (2015). A Computer Vision Approach for Automatically Mining and Classifying End of Life Products and Components. 3 indexed citations

13.

Dering, Matthew L. & Patrick McDaniel. (2014). Android market reconstruction and analysis. 300–305. 12 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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