Martin Azizyan

1.4k total citations · 1 hit paper
8 papers, 962 citations indexed

About

Martin Azizyan is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Martin Azizyan has authored 8 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Electrical and Electronic Engineering, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Martin Azizyan's work include Indoor and Outdoor Localization Technologies (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Blind Source Separation Techniques (2 papers). Martin Azizyan is often cited by papers focused on Indoor and Outdoor Localization Technologies (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Blind Source Separation Techniques (2 papers). Martin Azizyan collaborates with scholars based in United States and South Korea. Martin Azizyan's co-authors include Romit Roy Choudhury, Ionut Constandache, Xuan Bao, Rhiju Das, Alex Limpaecher, Hanjoo Kim, Wipapat Kladwang, Jeehyung Lee, Adrien Treuille and Min Jae Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Figshare and ACM SIGMOBILE Mobile Computing and Communications Review.

In The Last Decade

Martin Azizyan

8 papers receiving 939 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SurroundSense

2009 564 citations Martin Azizyan, Ionut Constandache et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Azizyan United States	6	590	252	225	201	192	8	962
Seongik Hong United States	9	226 0.4×	45 0.2×	63 0.3×	620 3.1×	47 0.2×	12	1.0k
Tobias Franke Germany	15	135 0.2×	61 0.2×	111 0.5×	52 0.3×	215 1.1×	42	561
Kazuya Murao Japan	18	144 0.2×	34 0.1×	32 0.1×	83 0.4×	410 2.1×	117	1.3k
Qiang Ma China	17	265 0.4×	37 0.1×	42 0.2×	322 1.6×	92 0.5×	69	824
Chenbo Fu China	14	112 0.2×	19 0.1×	52 0.2×	252 1.3×	39 0.2×	37	725
Lu Ou China	17	109 0.2×	58 0.2×	14 0.1×	245 1.2×	87 0.5×	62	965
Jaeyoung Choi South Korea	14	238 0.4×	26 0.1×	14 0.1×	70 0.3×	254 1.3×	102	956
Tony White Canada	15	51 0.1×	16 0.1×	174 0.8×	378 1.9×	60 0.3×	59	1.0k
Li Tan China	15	55 0.1×	18 0.1×	35 0.2×	100 0.5×	619 3.2×	85	1.0k
Xiaowei Wang China	14	324 0.5×	22 0.1×	71 0.3×	298 1.5×	49 0.3×	46	746

Countries citing papers authored by Martin Azizyan

Since Specialization

Citations

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

Fields of papers citing papers by Martin Azizyan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Azizyan

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

8 of 8 papers shown

1.

Azizyan, Martin, Aarti Singh, & L. H. Wasserman. (2018). Density-Sensitive Semisupervised Inference. Figshare. 5 indexed citations

2.

Lee, Jeehyung, Wipapat Kladwang, Min Jae Lee, et al.. (2014). RNA design rules from a massive open laboratory. Proceedings of the National Academy of Sciences. 111(6). 2122–2127. 182 indexed citations

3.

Azizyan, Martin, Akshay Krishnamurthy, & Aarti Singh. (2014). Subspace learning from extremely compressed measurements. 2014 48th Asilomar Conference on Signals, Systems and Computers. 311–315. 13 indexed citations

4.

Azizyan, Martin, et al.. (2014). Efficient Sparse Clustering of High-Dimensional Non-spherical. 1 indexed citations

5.

Azizyan, Martin & Aarti Singh. (2012). Subspace detection of high-dimensional vectors using compressive sampling. 724–727. 5 indexed citations

6.

Constandache, Ionut, Xuan Bao, Martin Azizyan, & Romit Roy Choudhury. (2010). Did you see Bob?. 149–160. 154 indexed citations

7.

Azizyan, Martin, Ionut Constandache, & Romit Roy Choudhury. (2009). SurroundSense. 261–272. 564 indexed citations breakdown →

8.

Azizyan, Martin & Romit Roy Choudhury. (2009). SurroundSense. ACM SIGMOBILE Mobile Computing and Communications Review. 13(1). 69–72. 38 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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