Connor J. Parde

445 total citations
10 papers, 228 citations indexed

About

Connor J. Parde is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Connor J. Parde has authored 10 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Cognitive Neuroscience and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Connor J. Parde's work include Face recognition and analysis (9 papers), Face Recognition and Perception (6 papers) and Evolutionary Psychology and Human Behavior (4 papers). Connor J. Parde is often cited by papers focused on Face recognition and analysis (9 papers), Face Recognition and Perception (6 papers) and Evolutionary Psychology and Human Behavior (4 papers). Connor J. Parde collaborates with scholars based in United States, Germany and Paraguay. Connor J. Parde's co-authors include Alice J. O’Toole, Matthew Q. Hill, Carlos D. Castillo, Rama Chellappa, Ying Hu, Naureen Mahmood, Jun-Cheng Chen, Volker Blanz, Rajeev Ranjan and Swami Sankaranarayanan and has published in prestigious journals such as Trends in Cognitive Sciences, Psychological Science and Cognition.

In The Last Decade

Connor J. Parde

10 papers receiving 220 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Connor J. Parde United States	6	135	127	93	24	20	10	228
Arnaud Dapogny France	9	69 0.5×	131 1.0×	97 1.0×	13 0.5×	13 0.7×	22	242
Enrique Sánchez United Kingdom	8	36 0.3×	134 1.1×	133 1.4×	20 0.8×	33 1.6×	17	262
Hrishikesh Rao United States	6	103 0.8×	75 0.6×	33 0.4×	7 0.3×	12 0.6×	13	235
Itır Önal Ertuğrul United States	10	88 0.7×	132 1.0×	145 1.6×	16 0.7×	15 0.8×	30	266
Xunbing Shen China	8	75 0.6×	62 0.5×	99 1.1×	18 0.8×	53 2.6×	21	190
Salma Kammoun Jarraya Saudi Arabia	11	109 0.8×	123 1.0×	51 0.5×	7 0.3×	10 0.5×	33	309
Elena Ryumina Russia	9	35 0.3×	79 0.6×	81 0.9×	12 0.5×	11 0.6×	31	262
Mohammad Mavadati United States	4	92 0.7×	92 0.7×	144 1.5×	13 0.5×	85 4.3×	8	279
Adam J. Sporka Czechia	9	117 0.9×	44 0.3×	22 0.2×	17 0.7×	23 1.1×	32	240
Asim Jan United Kingdom	6	62 0.5×	108 0.9×	230 2.5×	8 0.3×	88 4.4×	7	297

Countries citing papers authored by Connor J. Parde

Since Specialization

Citations

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

Fields of papers citing papers by Connor J. Parde

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connor J. Parde

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

Parde, Connor J., et al.. (2023). Twin Identification over Viewpoint Change: A Deep Convolutional Neural Network Surpasses Humans. ACM Transactions on Applied Perception. 20(3). 1–15. 2 indexed citations

Jeckeln, Géraldine, et al.. (2023). The Influence of the Other-Race Effect on Susceptibility to Face Morphing Attacks. ACM Transactions on Applied Perception. 21(1). 1–13. 1 indexed citations

Noyes, Eilidh, Connor J. Parde, Matthew Q. Hill, et al.. (2021). Seeing through disguise: Getting to know you with a deep convolutional neural network. Cognition. 211. 104611–104611. 10 indexed citations

Parde, Connor J., et al.. (2021). Closing the gap between single-unit and neural population codes: Insights from deep learning in face recognition. Journal of Vision. 21(8). 15–15. 12 indexed citations

Parde, Connor J., Ying Hu, Carlos D. Castillo, Swami Sankaranarayanan, & Alice J. O’Toole. (2019). Social Trait Information in Deep Convolutional Neural Networks Trained for Face Identification. Cognitive Science. 43(6). e12729–e12729. 19 indexed citations

Hill, Matthew Q., Connor J. Parde, Carlos D. Castillo, et al.. (2019). Deep convolutional neural networks in the face of caricature. Nature Machine Intelligence. 1(11). 522–529. 47 indexed citations

Hill, Matthew Q., et al.. (2019). Facial Expression Information in Deep Convolutional Neural Networks Trained for Face Identification. Journal of Vision. 19(10). 93b–93b. 1 indexed citations

O’Toole, Alice J., Carlos D. Castillo, Connor J. Parde, Matthew Q. Hill, & Rama Chellappa. (2018). Face Space Representations in Deep Convolutional Neural Networks. Trends in Cognitive Sciences. 22(9). 794–809. 92 indexed citations

Hill, Matthew Q., Connor J. Parde, Jun-Cheng Chen, et al.. (2018). Hierarchical Representations of Viewpoint and Illumination in Deep Convolutional Neural Networks Trained for Face Identification. Journal of Vision. 18(10). 353–353. 1 indexed citations

10.

Hu, Ying, Connor J. Parde, Matthew Q. Hill, Naureen Mahmood, & Alice J. O’Toole. (2018). First Impressions of Personality Traits From Body Shapes. Psychological Science. 29(12). 1969–1983. 43 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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