Matthew Veres

534 total citations · 1 hit paper
10 papers, 363 citations indexed

About

Matthew Veres is a scholar working on Mechanical Engineering, Plant Science and Social Psychology. According to data from OpenAlex, Matthew Veres has authored 10 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Mechanical Engineering, 3 papers in Plant Science and 2 papers in Social Psychology. Recurrent topics in Matthew Veres's work include Smart Agriculture and AI (3 papers), Robot Manipulation and Learning (2 papers) and Non-Destructive Testing Techniques (2 papers). Matthew Veres is often cited by papers focused on Smart Agriculture and AI (3 papers), Robot Manipulation and Learning (2 papers) and Non-Destructive Testing Techniques (2 papers). Matthew Veres collaborates with scholars based in Canada and United States. Matthew Veres's co-authors include Medhat Moussa, Graham W. Taylor, Carla S. Hadden, Xianyan Chen and Victor D. Thompson and has published in prestigious journals such as Sensors, IEEE Transactions on Intelligent Transportation Systems and IEEE Robotics and Automation Letters.

In The Last Decade

Matthew Veres

10 papers receiving 353 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends

2019 259 citations Matthew Veres, Medhat Moussa IEEE Transactions on Intelligent Transportation Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Veres Canada	6	121	90	74	70	55	10	363
Zhixiang Hou China	10	172 1.4×	172 1.9×	94 1.3×	116 1.7×	62 1.1×	42	452
Yifan Zhuang China	11	193 1.6×	137 1.5×	61 0.8×	116 1.7×	78 1.4×	30	525
Bartłomiej Płaczek Poland	11	135 1.1×	112 1.2×	44 0.6×	78 1.1×	50 0.9×	37	395
Fumin Zou China	14	160 1.3×	142 1.6×	58 0.8×	95 1.4×	107 1.9×	97	579
Panagiotis Lytrivis Greece	12	77 0.6×	75 0.8×	55 0.7×	73 1.0×	53 1.0×	28	354
Pranamesh Chakraborty United States	11	224 1.9×	51 0.6×	121 1.6×	100 1.4×	144 2.6×	24	460
Khalil M. Ahmad Yousef Jordan	10	97 0.8×	148 1.6×	73 1.0×	52 0.7×	168 3.1×	26	456
Jianli Xiao China	10	140 1.2×	73 0.8×	85 1.1×	53 0.8×	53 1.0×	22	287
Zubayer Islam United States	10	205 1.7×	90 1.0×	81 1.1×	84 1.2×	51 0.9×	31	483

Countries citing papers authored by Matthew Veres

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Veres

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Veres

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

All Works

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10 of 10 papers shown

1.

Veres, Matthew, et al.. (2024). Object Detection in Tomato Greenhouses: A Study on Model Generalization. Agriculture. 14(2). 173–173. 4 indexed citations

2.

Veres, Matthew, et al.. (2024). An Evaluation of Multi-Channel Sensors and Density Estimation Learning for Detecting Fire Blight Disease in Pear Orchards. Sensors. 24(16). 5387–5387. 1 indexed citations

3.

Veres, Matthew, et al.. (2023). A Real-Time Inspection System for Industrial Helical Gears. Sensors. 23(20). 8541–8541. 1 indexed citations

4.

Hadden, Carla S., et al.. (2022). The Changing Profile of Tenure-Track Faculty in Archaeology. Advances in Archaeological Practice. 10(4). 371–381. 8 indexed citations

5.

Moussa, Medhat, et al.. (2021). Detecting Teeth Defects on Automotive Gears Using Deep Learning. Sensors. 21(24). 8480–8480. 14 indexed citations

6.

Veres, Matthew, et al.. (2020). Incorporating Object Intrinsic Features Within Deep Grasp Affordance Prediction. IEEE Robotics and Automation Letters. 5(4). 6009–6016. 6 indexed citations

7.

Veres, Matthew & Medhat Moussa. (2019). Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends. IEEE Transactions on Intelligent Transportation Systems. 21(8). 3152–3168. 259 indexed citations breakdown →

8.

Veres, Matthew, Medhat Moussa, & Graham W. Taylor. (2017). Modeling Grasp Motor Imagery Through Deep Conditional Generative Models. IEEE Robotics and Automation Letters. 2(2). 757–764. 23 indexed citations

9.

Veres, Matthew, et al.. (2015). Deep Learning Architectures for Soil Property Prediction. 8–15. 42 indexed citations

10.

Veres, Matthew, et al.. (2014). An Integrated Bud Detection and Localization System for Application in Greenhouse Automation. 12. 344–348. 5 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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