Jackie Assa

462 total citations
13 papers, 326 citations indexed

About

Jackie Assa is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Jackie Assa has authored 13 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Control and Systems Engineering and 3 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Jackie Assa's work include Human Pose and Action Recognition (6 papers), Human Motion and Animation (5 papers) and Video Analysis and Summarization (5 papers). Jackie Assa is often cited by papers focused on Human Pose and Action Recognition (6 papers), Human Motion and Animation (5 papers) and Video Analysis and Summarization (5 papers). Jackie Assa collaborates with scholars based in Israel, Taiwan and United States. Jackie Assa's co-authors include Daniel Cohen‐Or, Yaron Caspi, Tong‐Yee Lee, Lior Wolf, Tova Milo, Chao‐Hung Lin, Yosef Shiloh, Ron Shamir, Ran Elkon and Ran Blekhman and has published in prestigious journals such as ACM Transactions on Graphics, BMC Bioinformatics and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Jackie Assa

12 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jackie Assa Israel 9 237 148 43 28 26 13 326
Daniel Průša Czechia 6 91 0.4× 26 0.2× 15 0.3× 11 0.4× 49 1.9× 26 174
Stjepan Rajko United States 8 131 0.6× 30 0.2× 46 1.1× 7 0.3× 68 2.6× 12 232
Yuxiao Guo China 10 133 0.6× 6 0.0× 17 0.4× 24 0.9× 42 1.6× 24 258
Minguk Kang South Korea 3 165 0.7× 17 0.1× 4 0.1× 25 0.9× 76 2.9× 7 246
Y.Q. Shi United States 10 444 1.9× 19 0.1× 3 0.1× 12 0.4× 10 0.4× 23 495
Li Meng China 10 126 0.5× 20 0.1× 22 0.5× 1 0.0× 59 2.3× 29 282
Constantinos Constantinopoulos Greece 7 123 0.5× 21 0.1× 25 0.6× 2 0.1× 198 7.6× 14 299
Ming Tao China 8 222 0.9× 11 0.1× 6 0.1× 27 1.0× 51 2.0× 19 353
Jiaming Song China 4 81 0.3× 14 0.1× 12 0.3× 5 0.2× 104 4.0× 13 184
Photios A. Stavrou Sweden 8 34 0.1× 49 0.3× 12 0.3× 60 2.3× 44 228

Countries citing papers authored by Jackie Assa

Since Specialization
Citations

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

Fields of papers citing papers by Jackie Assa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jackie Assa

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

All Works

13 of 13 papers shown
1.
Hanocka, Rana, Jackie Assa, Daniel Cohen‐Or, & Raja Giryes. (2022). Learning Camera Control in Dynamic Scenes from Limited Demonstrations. Computer Graphics Forum. 41(1). 427–437.
2.
Assa, Jackie & Daniel Cohen‐Or. (2012). More of the same: Synthesizing a variety by structural layering. Computers & Graphics. 36(4). 250–256. 6 indexed citations
3.
Lin, Chao‐Hung, et al.. (2011). Human Motion Retrieval from Hand-Drawn Sketch. IEEE Transactions on Visualization and Computer Graphics. 18(5). 729–740. 40 indexed citations
4.
Assa, Jackie, Lior Wolf, & Daniel Cohen‐Or. (2010). The Virtual Director: a Correlation‐Based Online Viewing of Human Motion. Computer Graphics Forum. 29(2). 595–604. 15 indexed citations
5.
Assa, Jackie, et al.. (2008). Motion overview of human actions. ACM Transactions on Graphics. 27(5). 1–10. 25 indexed citations
6.
Elkon, Ran, Igor Ulitsky, Ran Blekhman, et al.. (2008). SPIKE – a database, visualization and analysis tool of cellular signaling pathways. BMC Bioinformatics. 9(1). 110–110. 47 indexed citations
7.
Assa, Jackie, et al.. (2008). Motion overview of human actions. 1–10. 5 indexed citations
8.
Assa, Jackie & Lior Wolf. (2007). Diorama Construction From a Single Image. Computer Graphics Forum. 26(3). 599–608. 14 indexed citations
9.
Assa, Jackie, Yaron Caspi, & Daniel Cohen‐Or. (2005). Action synopsis. 667–676. 18 indexed citations
10.
Assa, Jackie, Yaron Caspi, & Daniel Cohen‐Or. (2005). Action synopsis. ACM Transactions on Graphics. 24(3). 667–676. 119 indexed citations
11.
Assa, Jackie, Daniel Cohen‐Or, & T. Milo. (2002). Displaying data in multidimensional relevance space with 2D visualization maps. 127–134,. 4 indexed citations
12.
Assa, Jackie, Daniel Cohen‐Or, & Tova Milo. (1999). RMAP: a system for visualizing data in multidimensional relevance space. The Visual Computer. 15(5). 217–234. 14 indexed citations
13.
Assa, Jackie, Daniel Cohen‐Or, & Tova Milo. (1997). Displaying data in multidimensional relevance space with 2D visualization maps. IEEE Visualization. 127–134. 19 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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