Amir Niknejad

1.5k total citations
6 papers, 40 citations indexed

About

Amir Niknejad is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Amir Niknejad has authored 6 papers receiving a total of 40 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Artificial Intelligence and 1 paper in Information Systems. Recurrent topics in Amir Niknejad's work include Gene expression and cancer classification (2 papers), Statistical and numerical algorithms (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). Amir Niknejad is often cited by papers focused on Gene expression and cancer classification (2 papers), Statistical and numerical algorithms (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). Amir Niknejad collaborates with scholars based in United States and Germany. Amir Niknejad's co-authors include Shmuel Friedland, Laura M. Chihara, M. Kaveh, Hossein Zare, Hossein Zare, Konstantin Fackeldey and Marcus Weber and has published in prestigious journals such as Linear Algebra and its Applications, Journal of Mathematical Chemistry and Special Matrices.

In The Last Decade

Amir Niknejad

5 papers receiving 31 citations

Peers

Amir Niknejad
Wenlin Chen United States
Junyuan Lin United States
Kushal Chakrabarti United States
B. M. Barnett United States
A. Grimes United States
Wenlin Chen United States
Amir Niknejad
Citations per year, relative to Amir Niknejad Amir Niknejad (= 1×) peers Wenlin Chen

Countries citing papers authored by Amir Niknejad

Since Specialization
Citations

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

Fields of papers citing papers by Amir Niknejad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Niknejad

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

All Works

6 of 6 papers shown
1.
Fackeldey, Konstantin, et al.. (2021). Analyzing Raman spectral data without separabiliy assumption. Journal of Mathematical Chemistry. 59(3). 575–596. 1 indexed citations
2.
Fackeldey, Konstantin, Amir Niknejad, & Marcus Weber. (2017). Finding metastabilities in reversible Markov chains based on incomplete sampling. Special Matrices. 5(1). 73–81.
3.
Friedland, Shmuel, Amir Niknejad, M. Kaveh, & Hossein Zare. (2006). An Algorithm for Missing Value Estimation for DNA Microarray Data. 2. II–1092. 11 indexed citations
4.
Friedland, Shmuel, Amir Niknejad, M. Kaveh, & Hossein Zare. (2006). Fast Monte-Carlo Low Rank Approximations for Matrices. 204–209. 3 indexed citations
5.
Friedland, Shmuel, Amir Niknejad, & Laura M. Chihara. (2005). A simultaneous reconstruction of missing data in DNA microarrays. Linear Algebra and its Applications. 416(1). 8–28. 23 indexed citations
6.
Niknejad, Amir. (2005). Application of Singular Value Decomposition. 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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