M. Kadastik

59.7k total citations · 1 hit paper
7 papers, 442 citations indexed

About

M. Kadastik is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Computer Networks and Communications. According to data from OpenAlex, M. Kadastik has authored 7 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nuclear and High Energy Physics, 4 papers in Astronomy and Astrophysics and 1 paper in Computer Networks and Communications. Recurrent topics in M. Kadastik's work include Particle physics theoretical and experimental studies (5 papers), Dark Matter and Cosmic Phenomena (5 papers) and Cosmology and Gravitation Theories (4 papers). M. Kadastik is often cited by papers focused on Particle physics theoretical and experimental studies (5 papers), Dark Matter and Cosmic Phenomena (5 papers) and Cosmology and Gravitation Theories (4 papers). M. Kadastik collaborates with scholars based in Estonia, Italy and France. M. Kadastik's co-authors include M. Raidal, Marco Cirelli, Алессандро Струмиа, L. Tani, Christian Veelken, Kristjan Kannike and Antonio Racioppi and has published in prestigious journals such as Nuclear Physics B, The European Physical Journal C and arXiv (Cornell University).

In The Last Decade

M. Kadastik

6 papers receiving 430 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.

Model-independent implications of the e±, p¯ cosmic ray spectra on properties of Dark Matter

2008 348 citations Marco Cirelli, M. Kadastik et al. Nuclear Physics B profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Kadastik Estonia	5	405	286	25	13	6	7	442
Shou-hua Zhu China	14	745 1.8×	194 0.7×	16 0.6×	12 0.9×	2 0.3×	31	756
Yu-Hai Yuan China	13	529 1.3×	502 1.8×	8 0.3×	13 1.0×	5 0.8×	48	557
Tirtha Sankar Ray India	13	377 0.9×	219 0.8×	20 0.8×	8 0.6×	2 0.3×	34	389
Oleg Popov United States	10	455 1.1×	103 0.4×	16 0.6×	22 1.7×	4 0.7×	22	475
Rakhi Mahbubani Switzerland	11	459 1.1×	228 0.8×	18 0.7×	11 0.8×		16	467
M. Santander United States	6	279 0.7×	196 0.7×	12 0.5×	9 0.7×	3 0.5×	25	301
José Zurita Germany	14	694 1.7×	251 0.9×	16 0.6×	20 1.5×		34	700
K. J. de Vries Switzerland	8	454 1.1×	250 0.9×	10 0.4×	15 1.2×		8	460
Venus Keus Finland	12	378 0.9×	240 0.8×	11 0.4×	9 0.7×		24	394
Dang Van Soa Vietnam	9	412 1.0×	157 0.5×	11 0.4×	11 0.8×		27	421

Countries citing papers authored by M. Kadastik

Since Specialization

Citations

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

Fields of papers citing papers by M. Kadastik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Kadastik

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

All Works

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7 of 7 papers shown

1.

Tani, L., et al.. (2021). Evolutionary algorithms for hyperparameter optimization in machine learning for application in high energy physics. The European Physical Journal C. 81(2). 34 indexed citations

2.

Cirelli, Marco, M. Kadastik, M. Raidal, & Алессандро Струмиа. (2013). Addendum including AMS 2013 data to “Model-independent implications of the e±, p¯ cosmic ray spectra on properties of Dark Matter” [Nucl. Phys. B 813 (1–2) (2009) 1–21]. Nuclear Physics B. 873(3). 530–533. 49 indexed citations

3.

Kadastik, M., Kristjan Kannike, Antonio Racioppi, & M. Raidal. (2011). Implications of the 125 GeV Higgs boson for scalar dark matter and for the CMSSM phenomenology. arXiv (Cornell University). 6 indexed citations

4.

Kadastik, M., Kristjan Kannike, & M. Raidal. (2009). Less-dimensions and matter parity as the origin of Dark Matter. arXiv (Cornell University). 4 indexed citations

5.

Kadastik, M.. (2008). Doubly charged Higgs boson decays and implications on neutrino physics.

6.

Cirelli, Marco, M. Kadastik, M. Raidal, & Алессандро Струмиа. (2008). Model-independent implications of the e±, p¯ cosmic ray spectra on properties of Dark Matter. Nuclear Physics B. 813(1-2). 1–21. 348 indexed citations breakdown →

7.

Kadastik, M., et al.. (2005). The first scientific results from the Estonian Grid. Proceedings of the Estonian Academy of Sciences Physics Mathematics. 54(2). 111–127. 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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