Dan Kushnir

452 total citations
15 papers, 311 citations indexed

About

Dan Kushnir is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dan Kushnir has authored 15 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dan Kushnir's work include Bayesian Methods and Mixture Models (3 papers), Machine Learning and Algorithms (3 papers) and Network Security and Intrusion Detection (3 papers). Dan Kushnir is often cited by papers focused on Bayesian Methods and Mixture Models (3 papers), Machine Learning and Algorithms (3 papers) and Network Security and Intrusion Detection (3 papers). Dan Kushnir collaborates with scholars based in United States, Israel and Germany. Dan Kushnir's co-authors include Achi Brandt, Ronald R. Coifman, Meirav Galun, Yair Goldberg, Alon Zakai, Ya’acov Ritov, Veena Mendiratta, Hüseyin Uzunalioğlu, Derek Doran and Sharon Gannot and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Signal Processing.

In The Last Decade

Dan Kushnir

14 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Kushnir United States	10	102	90	63	63	37	15	311
Jie Lin China	11	57 0.6×	179 2.0×	63 1.0×	56 0.9×	33 0.9×	61	407
Shuxun Wang China	10	22 0.2×	123 1.4×	101 1.6×	29 0.5×	13 0.4×	88	340
Chris K. Williams United States	5	133 1.3×	93 1.0×	36 0.6×	40 0.6×	18 0.5×	8	285
Will Wei Sun United States	11	95 0.9×	39 0.4×	20 0.3×	74 1.2×	21 0.6×	23	292
Samantha Hansen United States	4	244 2.4×	54 0.6×	18 0.3×	111 1.8×	12 0.3×	6	392
Olivier Bachem Switzerland	12	288 2.8×	207 2.3×	76 1.2×	19 0.3×	28 0.8×	25	438
M. Alper Tunga Türkiye	11	72 0.7×	64 0.7×	30 0.5×	13 0.2×	59 1.6×	30	386
Yihong Gong United States	12	129 1.3×	400 4.4×	47 0.7×	34 0.5×	22 0.6×	18	578
Luca Cazzanti United States	8	183 1.8×	138 1.5×	79 1.3×	17 0.3×	12 0.3×	23	380
Zhao Ren United States	10	150 1.5×	20 0.2×	57 0.9×	74 1.2×	16 0.4×	25	529

Countries citing papers authored by Dan Kushnir

Since Specialization

Citations

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

Fields of papers citing papers by Dan Kushnir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Kushnir

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

All Works

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15 of 15 papers shown

Kushnir, Dan, et al.. (2023). Diffusion-Based Sampling for Deep Active Learning. 1–9.

Kushnir, Dan, Shirin Jalali, & Iraj Saniee. (2019). Towards Clustering High-dimensional Gaussian Mixture Clouds in Linear Running Time. 1379–1387. 2 indexed citations

Kushnir, Dan, et al.. (2018). Predicting Outages in Radio Networks with Alarm Data. 1–2. 3 indexed citations

Gurbani, Vijay K., et al.. (2017). Detecting and predicting outages in mobile networks with log data. Open Repository and Bibliography (University of Luxembourg). 1–7. 10 indexed citations

Kushnir, Dan, et al.. (2016). Causality inference for failures in NFV. 9 indexed citations

Kushnir, Dan, et al.. (2015). Predicting home network problems using diverse data. 2. 1–6. 1 indexed citations

Kushnir, Dan. (2014). Active-transductive learning with label-adapted kernels. 462–471. 5 indexed citations

Kushnir, Dan, et al.. (2013). Texture separation via a reference set. Applied and Computational Harmonic Analysis. 36(2). 335–347. 16 indexed citations

Uzunalioğlu, Hüseyin, et al.. (2013). Prediction of Subscriber Churn Using Social Network Analysis. Bell Labs Technical Journal. 17(4). 63–75. 45 indexed citations

10.

Kushnir, Dan, et al.. (2011). Anisotropic diffusion on sub-manifolds with application to Earth structure classification. Applied and Computational Harmonic Analysis. 32(2). 280–294. 45 indexed citations

11.

Talmon, Ronen, Dan Kushnir, Ronald R. Coifman, Israel Cohen, & Sharon Gannot. (2011). Parametrization of Linear Systems Using Diffusion Kernels. IEEE Transactions on Signal Processing. 60(3). 1159–1173. 40 indexed citations

12.

Kushnir, Dan, Meirav Galun, & Achi Brandt. (2009). Efficient Multilevel Eigensolvers with Applications to Data Analysis Tasks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(8). 1377–1391. 24 indexed citations

13.

Goldberg, Yair, Alon Zakai, Dan Kushnir, & Ya’acov Ritov. (2008). Manifold Learning: The Price of Normalization. Journal of Machine Learning Research. 9(63). 1909–1939. 45 indexed citations

14.

Kushnir, Dan, Jörg Schumacher, & Achi Brandt. (2006). Geometry of Intensive Scalar Dissipation Events in Turbulence. Physical Review Letters. 97(12). 124502–124502. 16 indexed citations

15.

Kushnir, Dan, Meirav Galun, & Achi Brandt. (2006). Fast multiscale clustering and manifold identification. Pattern Recognition. 39(10). 1876–1891. 50 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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