Haim Schweitzer

456 total citations
41 papers, 231 citations indexed

About

Haim Schweitzer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Haim Schweitzer has authored 41 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 13 papers in Computational Mechanics. Recurrent topics in Haim Schweitzer's work include Sparse and Compressive Sensing Techniques (13 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Image Retrieval and Classification Techniques (10 papers). Haim Schweitzer is often cited by papers focused on Sparse and Compressive Sensing Techniques (13 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Image Retrieval and Classification Techniques (10 papers). Haim Schweitzer collaborates with scholars based in United States. Haim Schweitzer's co-authors include Guihong Wan, Ke Xu, Rui Deng, Ke Xu, Tongyi Cao, Sanjeev R. Kulkarni, Yanjun Zhang, Wei Mao, Yevgeniy R. Semenov and Xinglong Ju and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering and Image and Vision Computing.

In The Last Decade

Haim Schweitzer

36 papers receiving 215 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haim Schweitzer United States 9 126 89 47 43 13 41 231
Ming Xiang China 9 144 1.1× 93 1.0× 42 0.9× 33 0.8× 16 1.2× 24 249
Erhan Gökçay Türkiye 7 111 0.9× 158 1.8× 19 0.4× 54 1.3× 14 1.1× 15 292
Gui‐Fu Lu China 11 300 2.4× 105 1.2× 106 2.3× 39 0.9× 10 0.8× 37 372
D. Guillamet Spain 9 175 1.4× 72 0.8× 50 1.1× 104 2.4× 8 0.6× 13 320
Feihu Huang United States 10 125 1.0× 164 1.8× 45 1.0× 13 0.3× 12 0.9× 24 275
Changbo Zhu United States 8 102 0.8× 64 0.7× 118 2.5× 39 0.9× 7 0.5× 14 291
S. Charles Brubaker United States 5 224 1.8× 112 1.3× 13 0.3× 50 1.2× 4 0.3× 7 300
A.V. Rao United States 10 181 1.4× 159 1.8× 24 0.5× 141 3.3× 21 1.6× 21 307
Boyán Bonev Spain 9 143 1.1× 111 1.2× 11 0.2× 18 0.4× 6 0.5× 19 253
Douglas R. Heisterkamp United States 10 226 1.8× 136 1.5× 9 0.2× 29 0.7× 10 0.8× 26 334

Countries citing papers authored by Haim Schweitzer

Since Specialization
Citations

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

Fields of papers citing papers by Haim Schweitzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haim Schweitzer

This figure shows the co-authorship network connecting the top 25 collaborators of Haim Schweitzer. A scholar is included among the top collaborators of Haim Schweitzer 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 Haim Schweitzer. Haim Schweitzer 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
1.
Wan, Guihong, Wei Mao, Yevgeniy R. Semenov, & Haim Schweitzer. (2024). Equivalence between Graph Spectral Clustering and Column Subset Selection (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23673–23675. 2 indexed citations
2.
Mao, Wei, Guihong Wan, & Haim Schweitzer. (2024). Graph Clustering Methods Derived from Column Subset Selection (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23573–23575. 1 indexed citations
3.
Wan, Guihong, Meng Jiao, Xinglong Ju, et al.. (2023). Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality. Proceedings of the AAAI Conference on Artificial Intelligence. 37(10). 12491–12499. 2 indexed citations
4.
Wan, Guihong & Haim Schweitzer. (2021). Heuristic Search for Approximating One Matrix in Terms of Another Matrix. 1600–1606. 3 indexed citations
5.
Wan, Guihong & Haim Schweitzer. (2021). Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality. Proceedings of the AAAI Conference on Artificial Intelligence. 35(14). 12436–12444. 4 indexed citations
6.
Wan, Guihong & Haim Schweitzer. (2021). A New Robust Subspace Recovery Algorithm (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 35(18). 15911–15912. 3 indexed citations
7.
Wan, Guihong & Haim Schweitzer. (2021). Edge Sparsification for Graphs via Meta-Learning. 2733–2738. 3 indexed citations
8.
Wan, Guihong, et al.. (2019). Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature Selection and Feature Extraction. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 2280–2287. 16 indexed citations
9.
Schweitzer, Haim, et al.. (2018). Computing Robust Principal Components by A* Search. International Journal of Artificial Intelligence Tools. 27(7). 1860013–1860013. 6 indexed citations
10.
Schweitzer, Haim, et al.. (2018). Two-Stage Feature Selection with Unsupervised Second Stage. International Journal of Artificial Intelligence Tools. 27(7). 1860014–1860014.
11.
Xu, Ke, et al.. (2017). Cleaning the Null Space: A Privacy Mechanism for Predictors. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 13 indexed citations
12.
Schweitzer, Haim, et al.. (2013). Pass-efficient unsupervised feature selection. Neural Information Processing Systems. 26. 1628–1636. 9 indexed citations
13.
Schweitzer, Haim, et al.. (2010). A Dual-Bound Algorithm for Very Fast and Exact Template Matching. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(3). 459–470. 17 indexed citations
14.
Schweitzer, Haim, et al.. (2009). A near optimal acceptance-rejection algorithm for exact cross-correlation search. 1089–1094. 5 indexed citations
15.
Schweitzer, Haim. (2002). Indexing images by trees of visual content. 582–587. 1 indexed citations
16.
17.
Schweitzer, Haim. (1999). Organizing image databases as visual-content search trees. Image and Vision Computing. 17(7). 501–511. 8 indexed citations
18.
Schweitzer, Haim & Sanjeev R. Kulkarni. (1998). Computational limitations of model-based recognition. International Journal of Intelligent Systems. 13(5). 431–443. 1 indexed citations
19.
Schweitzer, Haim, et al.. (1998). Utilizing Moment Invariants and Gröbner Bases to Reason About Shapes. Computational Intelligence. 14(4). 461–474. 1 indexed citations
20.
Schweitzer, Haim, et al.. (1996). Structure from multiple 2D affine correspondences without camera calibration. 258–263. 2 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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