Eric Zavesky

602 total citations
25 papers, 438 citations indexed

About

Eric Zavesky is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Eric Zavesky has authored 25 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Eric Zavesky's work include Video Analysis and Summarization (13 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Image Retrieval and Classification Techniques (8 papers). Eric Zavesky is often cited by papers focused on Video Analysis and Summarization (13 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Image Retrieval and Classification Techniques (8 papers). Eric Zavesky collaborates with scholars based in United States, Italy and France. Eric Zavesky's co-authors include Shih‐Fu Chang, Akira Yanagawa, Lyndon S. Kennedy, Winston H. Hsu, David Gibbon, Behzad Shahraray, Zhu Liu, Yu–Gang Jiang, Junfeng He and Elie Khoury and has published in prestigious journals such as IEEE Internet Computing, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and arXiv (Cornell University).

In The Last Decade

Eric Zavesky

25 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric Zavesky United States	11	359	163	58	25	23	25	438
Peipeng Yu China	11	322 0.9×	161 1.0×	85 1.5×	46 1.8×	22 1.0×	18	451
Huamin Feng China	9	189 0.5×	62 0.4×	45 0.8×	27 1.1×	17 0.7×	28	265
Shiai Zhu Canada	10	224 0.6×	115 0.7×	36 0.6×	43 1.7×	20 0.9×	22	336
Philippe Mulhem France	10	201 0.6×	58 0.4×	55 0.9×	35 1.4×	25 1.1×	46	260
Lexi Pimenidis Germany	6	117 0.3×	79 0.5×	35 0.6×	27 1.1×	16 0.7×	8	206
Amirhossein Habibian Netherlands	12	464 1.3×	140 0.9×	90 1.6×	8 0.3×	7 0.3×	19	504
Noel Murphy Ireland	13	365 1.0×	48 0.3×	164 2.8×	42 1.7×	81 3.5×	43	444
Sina Samangooei United Kingdom	10	235 0.7×	58 0.4×	77 1.3×	50 2.0×	8 0.3×	22	308
Yousri Abdeljaoued Switzerland	5	229 0.6×	65 0.4×	188 3.2×	80 3.2×	21 0.9×	10	334
Lilei Zheng Singapore	8	254 0.7×	109 0.7×	84 1.4×	20 0.8×	10 0.4×	18	335

Countries citing papers authored by Eric Zavesky

Since Specialization

Citations

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

Fields of papers citing papers by Eric Zavesky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Zavesky

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Zavesky. A scholar is included among the top collaborators of Eric Zavesky 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 Eric Zavesky. Eric Zavesky 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:

20 of 20 papers shown

1.

Wu, Qiong, et al.. (2024). CAT: Interpretable Concept-based Taylor Additive Models. arXiv (Cornell University). 723–734. 2 indexed citations

2.

Kanza, Yaron, et al.. (2020). Smartmedia. 589–592. 3 indexed citations

3.

Zavesky, Eric, et al.. (2018). A Stitch in Time - Autonomous Model Management via Reinforcement Learning. Adaptive Agents and Multi-Agents Systems. 990–998. 2 indexed citations

4.

Zavesky, Eric, et al.. (2018). Autonomous Model Management via Reinforcement Learning.. National Conference on Artificial Intelligence. 348–355. 1 indexed citations

5.

Zhang, Wenxiao, Bo Han, Pan Hui, et al.. (2018). CARS. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 25–30. 34 indexed citations

6.

Yang, Xiaodong, et al.. (2013). AT&T Research at TRECVID 2013 : Surveillance Event Detection. TRECVID. 5 indexed citations

7.

Dimitriadis, Dimitrios, et al.. (2013). On the improvement of multimodal voice activity detection. 685–689. 1 indexed citations

8.

Gibbon, David, et al.. (2012). Combining content analysis of television programs with audience measurement. 754–758. 1 indexed citations

9.

Zavesky, Eric, et al.. (2010). Unsupervised event segmentation of news content with multimodal cues. 39–44. 6 indexed citations

10.

Chang, Shih‐Fu, Junfeng He, Yu–Gang Jiang, et al.. (2008). Columbia University/VIREO-CityU/IRIT TRECVID2008 High-Level Feature Extraction and Interactive Video Search. SPIRE - Sciences Po Institutional REpository. 51 indexed citations

11.

Zavesky, Eric & Shih‐Fu Chang. (2008). Columbia University's semantic video search engine 2008. 545–546. 3 indexed citations

12.

Liu, Zhu, Eric Zavesky, Behzad Shahraray, David Gibbon, & Andrea Basso. (2008). Brief and high-interest video summary generation. 21–25. 11 indexed citations

13.

Zavesky, Eric, et al.. (2008). Cross-domain learning methods for high-level visual concept classification. 113 indexed citations

14.

Zavesky, Eric & Shih‐Fu Chang. (2008). CuZero. 237–244. 22 indexed citations

15.

Zavesky, Eric, et al.. (2008). Visual islands. 617–626. 21 indexed citations

16.

Chang, Shih‐Fu, Wei Jiang, Akira Yanagawa, & Eric Zavesky. (2007). Columbia University TRECVID 2007 High-Level Feature Extraction.. TRECVID. 5189(1). 57–66. 10 indexed citations

17.

Liu, Zhu, David Gibbon, Eric Zavesky, Behzad Shahraray, & Patrick Haffner. (2007). A Fast, Comprehensive Shot Boundary Determination System. 1487–1490. 19 indexed citations

18.

Chang, Shih‐Fu, Lyndon S. Kennedy, & Eric Zavesky. (2007). Columbia University's semantic video search engine. 643–643. 12 indexed citations

19.

Liu, Zhu, Eric Zavesky, David Gibbon, Behzad Shahraray, & Patrick Haffner. (2006). AT&T RESEARCH AT TRECVID 2007. TRECVID. 18 indexed citations

20.

Chang, Shih‐Fu, et al.. (2005). Columbia University TRECVID-2005 Video Search and High-Level Feature Extraction.. TRECVID. 86 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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