Darnell Moore

576 total citations
13 papers, 391 citations indexed

About

Darnell Moore is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Darnell Moore has authored 13 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Automotive Engineering. Recurrent topics in Darnell Moore's work include Human Pose and Action Recognition (5 papers), Advanced Vision and Imaging (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Darnell Moore is often cited by papers focused on Human Pose and Action Recognition (5 papers), Advanced Vision and Imaging (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Darnell Moore collaborates with scholars based in United States and Singapore. Darnell Moore's co-authors include Irfan Essa, M.H. Hayes, Beverly L. Harrison, Roy Want, Ken Fishkin, Anuj Gujar, Göksel Dedeoǧlu, Branislav Kisačanin, Vinay Sharma and Andrew Miller and has published in prestigious journals such as National Conference on Artificial Intelligence, SMARTech Repository (Georgia Institute of Technology) and Medical Entomology and Zoology.

In The Last Decade

Darnell Moore

13 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Darnell Moore United States	7	305	156	80	48	40	13	391
Olivier Bernier France	10	399 1.3×	63 0.4×	140 1.8×	53 1.1×	34 0.8×	31	540
Dohyung Kim South Korea	10	286 0.9×	116 0.7×	33 0.4×	29 0.6×	45 1.1×	38	397
Brian Clarkson United States	10	316 1.0×	124 0.8×	84 1.1×	28 0.6×	167 4.2×	13	504
Yongmian Zhang United States	6	361 1.2×	70 0.4×	29 0.4×	27 0.6×	39 1.0×	6	474
Aphrodite Galata United Kingdom	12	390 1.3×	125 0.8×	85 1.1×	117 2.4×	62 1.6×	23	479
Alexandre R. J. François United States	12	381 1.2×	77 0.5×	40 0.5×	31 0.6×	82 2.0×	29	452
Bong-Kee Sin South Korea	9	266 0.9×	90 0.6×	156 1.9×	51 1.1×	31 0.8×	28	392
Surendra Ranganath Singapore	13	349 1.1×	77 0.5×	251 3.1×	58 1.2×	59 1.5×	26	571
Shishir Bashyal United States	5	166 0.5×	98 0.6×	23 0.3×	30 0.6×	33 0.8×	7	325
Rebeca Marfil Spain	10	158 0.5×	76 0.5×	37 0.5×	49 1.0×	14 0.3×	46	288

Countries citing papers authored by Darnell Moore

Since Specialization

Citations

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

Fields of papers citing papers by Darnell Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darnell Moore

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Yen, I‐Ling, et al.. (2018). Semantic-Based Information Sharing in Vehicular Networks. 282–289. 3 indexed citations

2.

Yen, I‐Ling, et al.. (2017). A Semantic Model for Information Sharing in Autonomous Vehicle Systems. 32–39. 6 indexed citations

3.

Chen, Chen, et al.. (2017). Accelerated Stereo Matching for Autonomous Vehicles using An Upright Pinhole Camera Model. Electronic Imaging. 29(19). 18–21. 1 indexed citations

4.

Dedeoǧlu, Göksel, Branislav Kisačanin, Darnell Moore, Vinay Sharma, & Andrew Miller. (2011). An optimized vision library approach for embedded systems. 8–13. 8 indexed citations

5.

Moore, Darnell. (2004). JPEG2000 for handheld applications. 9. 1999–2003. 1 indexed citations

6.

Moore, Darnell & Irfan Essa. (2002). Recognizing multitasked activities from video using stochastic context-free grammar. National Conference on Artificial Intelligence. 770–776. 108 indexed citations

7.

Moore, Darnell & M.H. Hayes. (2002). Tracking 3D position and orientation from 2D sequences using simple geometry. 1. 125–129. 5 indexed citations

8.

Moore, Darnell & Irfan Essa. (2001). Recognizing Multitasked Activities using Stochastic Context-Free Grammar. 28 indexed citations

9.

Moore, Darnell. (2001). Recognizing Multitasked Activities from Video using Stochastic Context-Free Grammar. Medical Entomology and Zoology. 1 indexed citations

10.

Moore, Darnell, et al.. (2000). Vision-based recognition of actions using context (action recognition, computer vision). 1 indexed citations

11.

Moore, Darnell, Irfan Essa, & M.H. Hayes. (1999). Exploiting human actions and object context for recognition tasks. 80–86 vol.1. 181 indexed citations

12.

Moore, Darnell, Roy Want, Beverly L. Harrison, Anuj Gujar, & Ken Fishkin. (1999). Implementing phicons. 67–68. 30 indexed citations

13.

Moore, Darnell, Irfan Essa, & M.H. Hayes. (1998). Object Spaces: Context Management for Human Activity Recognition. SMARTech Repository (Georgia Institute of Technology). 18 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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