Martina Mincheva

1.4k total citations · 1 hit paper
7 papers, 734 citations indexed

About

Martina Mincheva is a scholar working on Economics and Econometrics, Statistics and Probability and Geometry and Topology. According to data from OpenAlex, Martina Mincheva has authored 7 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Economics and Econometrics, 3 papers in Statistics and Probability and 2 papers in Geometry and Topology. Recurrent topics in Martina Mincheva's work include Statistical Methods and Inference (3 papers), Spatial and Panel Data Analysis (3 papers) and Forest Management and Policy (1 paper). Martina Mincheva is often cited by papers focused on Statistical Methods and Inference (3 papers), Spatial and Panel Data Analysis (3 papers) and Forest Management and Policy (1 paper). Martina Mincheva collaborates with scholars based in United States. Martina Mincheva's co-authors include Jianqing Fan, Yuan Liao and Bruno Marino and has published in prestigious journals such as Journal of the Royal Statistical Society Series B (Statistical Methodology), The Annals of Statistics and PeerJ.

In The Last Decade

Martina Mincheva

7 papers receiving 717 citations

Hit Papers

Large Covariance Estimation by Thresholding Principal Ort... 2013 2026 2017 2021 2013 100 200 300 400
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.

  1. Large Covariance Estimation by Thresholding Principal Orthogonal Complements
    2013 478 citations Jianqing Fan, Yuan Liao et al. Journal of the Royal Statistical Society Series B (Statistical Methodology) profile →

Peers

Martina Mincheva
Stanislav Volgushev Germany
Philippe Soulier France
Miao Bai-qi China
Alexander Lindner Germany
Peter Spreij Netherlands
Cheng Yong Tang United States
Jérôme Dedecker France
Mathieu Rosenbaum France
Stanislav Volgushev Germany
Martina Mincheva
Citations per year, relative to Martina Mincheva Martina Mincheva (= 1×) peers Stanislav Volgushev

Countries citing papers authored by Martina Mincheva

Since Specialization
Citations

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

Fields of papers citing papers by Martina Mincheva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Mincheva

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

All Works

7 of 7 papers shown
1.
Marino, Bruno, et al.. (2019). California air resources board forest carbon protocol invalidates offsets. PeerJ. 7. e7606–e7606. 9 indexed citations
2.
Fan, Jianqing, Yuan Liao, & Martina Mincheva. (2013). Large Covariance Estimation by Thresholding Principal Orthogonal Complements. Journal of the Royal Statistical Society Series B (Statistical Methodology). 75(4). 603–680. 478 indexed citations breakdown →
3.
Fan, Jianqing, Yuan Liao, & Martina Mincheva. (2011). High-dimensional covariance matrix estimation in approximate factor models. The Annals of Statistics. 39(6). 3320–3356. 202 indexed citations
4.
Fan, Jianqing, Yuan Liao, & Martina Mincheva. (2011). High Dimensional Covariance Matrix Estimation in Approximate Factor Models. SSRN Electronic Journal. 34 indexed citations
5.
Mincheva, Martina, et al.. (2008). Symmetry of iteration graphs. Czechoslovak Mathematical Journal. 58(1). 131–145. 9 indexed citations
6.
Mincheva, Martina, et al.. (2007). Component growth of iteration graphs under the squaring map modulo p k . ˜The œFibonacci quarterly. 45(3). 239–246. 1 indexed citations
7.
Mincheva, Martina, et al.. (2007). Reflections on Spheres. Math Horizons. 15(2). 22–26. 1 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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