Amir Sadovnik

521 citations
24 papers · 327 indexed · h-index 7
Topics
Advanced Image and Video Retrieval Techniques (6 papers)Multimodal Machine Learning Applications (5 papers)Advanced Image Processing Techniques (3 papers)

In The Last Decade

Amir Sadovnik

21 papers receiving 316 citations

Peers

Amir Sadovnik
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 231
  • Artificial Intelligence 139
  • Experimental and Cognitive Psychology 44
  • Cognitive Neuroscience 34
  • Information Systems 25
Replace Kuan–Chuan Peng with:
Kuan–Chuan Peng United States
Zhiqi Shen Singapore
Jan C. van Gemert Netherlands
Sajid Ali Khan Pakistan
Alireza Bosaghzadeh Iran
Ling Lo Taiwan
Jingting Li China
Victoria Yanulevskaya Italy
Sujoy Roy Singapore
Jinhyeok Jang South Korea
Amir Sadovnik relative to Kuan–Chuan Peng United States Kuan–Chuan Peng's profile →
Citations per field
00.5×2.8×
Kuan–Chuan Peng · 1×
Citations per year

Countries citing papers authored by Amir Sadovnik

Since Specialization
Citations

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

Fields of papers citing papers by Amir Sadovnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Sadovnik

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 0
4 3
5 3
6 3
7 3
8 9
9 3
10 3
11 1
12 0
13 5
14 60
15 157
16 14
17 4
18 8
19 6
20 3

About Amir Sadovnik

Amir Sadovnik is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology, having authored 24 papers that have together received 327 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Image Processing Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (231 citations), Artificial Intelligence (139 citations) and Urban Studies (22 citations). Amir Sadovnik has collaborated with scholars based in United States, Costa Rica and China. Frequent co-authors include Tsuhan Chen, Kuan–Chuan Peng, Andrew Gallagher, Andrew Gallagher, Devi Parikh, Xiao Xiao, Hairong Qi, Fan Yang, Shimon Edelman and Jason P. Hayward. Their work appears in journals such as Sensors, Nonlinear Dynamics and IEEE Signal Processing Letters.

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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