Christopher Conly

443 total citations
14 papers, 302 citations indexed

About

Christopher Conly is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Developmental and Educational Psychology. According to data from OpenAlex, Christopher Conly has authored 14 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Human-Computer Interaction and 4 papers in Developmental and Educational Psychology. Recurrent topics in Christopher Conly's work include Hand Gesture Recognition Systems (8 papers), Human Pose and Action Recognition (6 papers) and Gaze Tracking and Assistive Technology (4 papers). Christopher Conly is often cited by papers focused on Hand Gesture Recognition Systems (8 papers), Human Pose and Action Recognition (6 papers) and Gaze Tracking and Assistive Technology (4 papers). Christopher Conly collaborates with scholars based in United States, Romania and Greece. Christopher Conly's co-authors include Vassilis Athitsos, Zhong Zhang, Shiba Kuanar, K.R. Rao, Fillia Makedon, Wei Xiang, Marius Popescu and Radu Tudor Ionescu and has published in prestigious journals such as Signal Processing Image Communication.

In The Last Decade

Christopher Conly

14 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Conly United States 8 231 104 87 54 45 14 302
Nam Le Switzerland 4 237 1.0× 110 1.1× 182 2.1× 32 0.6× 42 0.9× 6 360
Benjia Zhou China 8 172 0.7× 91 0.9× 114 1.3× 64 1.2× 29 0.6× 12 253
Okan Köpüklü Germany 6 194 0.8× 88 0.8× 183 2.1× 37 0.7× 47 1.0× 13 326
Yue Bai United States 6 136 0.6× 91 0.9× 149 1.7× 15 0.3× 75 1.7× 14 258
G. K. Kharate India 9 134 0.6× 28 0.3× 104 1.2× 19 0.4× 45 1.0× 44 267
Tianming Zhao United States 9 62 0.3× 125 1.2× 83 1.0× 87 1.6× 17 0.4× 12 333
Hyun Seung Yang South Korea 7 190 0.8× 53 0.5× 186 2.1× 14 0.3× 29 0.6× 20 287
Gibran Benítez-García Japan 9 184 0.8× 40 0.4× 100 1.1× 23 0.4× 19 0.4× 33 259
Lionel Pigou Belgium 3 256 1.1× 133 1.3× 226 2.6× 13 0.2× 67 1.5× 3 379
Garima Joshi India 12 66 0.3× 84 0.8× 97 1.1× 41 0.8× 56 1.2× 37 308

Countries citing papers authored by Christopher Conly

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Conly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Conly

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

All Works

14 of 14 papers shown
1.
Kuanar, Shiba, et al.. (2021). Deep learning based HEVC in-loop filter and noise reduction. Signal Processing Image Communication. 99. 116409–116409. 14 indexed citations
2.
Kuanar, Shiba, Christopher Conly, & K.R. Rao. (2018). Deep Learning Based HEVC In-Loop Filtering for Decoder Quality Enhancement. 164–168. 40 indexed citations
3.
Kuanar, Shiba, K.R. Rao, & Christopher Conly. (2018). Fast Mode Decision In Hevc Intra Prediction, Using Region Wise CNN Feature Classification. 25. 1–4. 28 indexed citations
4.
Conly, Christopher, et al.. (2017). A Survey on Sign Language Recognition Using Smartphones. 171–176. 24 indexed citations
5.
Ionescu, Radu Tudor, Marius Popescu, Christopher Conly, & Vassilis Athitsos. (2017). Local frame match distance: A novel approach for exemplar gesture recognition. 788–792. 1 indexed citations
6.
Conly, Christopher, et al.. (2016). Leveraging intra-class variations to improve large vocabulary gesture recognition. 13. 907–912. 1 indexed citations
7.
Conly, Christopher, Zhong Zhang, & Vassilis Athitsos. (2015). An integrated RGB-D system for looking up the meaning of signs. 6 indexed citations
8.
Zhang, Zhong, Christopher Conly, & Vassilis Athitsos. (2015). A survey on vision-based fall detection. 1–7. 118 indexed citations
9.
Xiang, Wei, et al.. (2015). A review and quantitative comparison of methods for kinect calibration. 1–6. 5 indexed citations
10.
11.
Zhang, Zhong, Christopher Conly, & Vassilis Athitsos. (2014). Hand detection on sign language videos. 1–5. 5 indexed citations
12.
Conly, Christopher, et al.. (2013). Toward a 3D body part detection video dataset and hand tracking benchmark. 1–6. 12 indexed citations
13.
Conly, Christopher, et al.. (2012). Multi-modal object of interest detection using eye gaze and RGB-D cameras. 1–6. 1 indexed citations
14.
Conly, Christopher, et al.. (2012). 3D point of gaze estimation using head-mounted RGB-D cameras. 283–284. 7 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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2026