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.
A major upgrade of the VALD database
2015547 citationsT. Ryabchikova, N. Piskunov et al.profile →
This map shows the geographic impact of N. Piskunov'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 N. Piskunov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Piskunov more than expected).
This network shows the impact of papers produced by N. Piskunov. 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 N. Piskunov. The network helps show where N. Piskunov may publish in the future.
Co-authorship network of co-authors of N. Piskunov
This figure shows the co-authorship network connecting the top 25 collaborators of N. Piskunov.
A scholar is included among the top collaborators of N. Piskunov 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 N. Piskunov. N. Piskunov is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Doronin, M., Marie-Lise Dubernet, N. J. Mason, et al.. (2012). ``Virtual Atomic and Molecular Data Centre'' and Astrophysics: Level 2 Release. 461. 331.1 indexed citations
Lueftinger, T., O. Kochukhov, T. Ryabchikova, et al.. (2008). 3D atmospheric structure of the prototypical roAp star HD 24712 (HR1217). Contributions of the Astronomical Observatory Skalnaté Pleso. 38(2). 335–340.1 indexed citations
Johns‐Krull, Christopher M., Jeff A. Valenti, N. Piskunov, Steven H. Saar, & A. P. Hatzes. (2001). New Measurements of T Tauri Magnetic Fields: Testing Magnetospheric Accretion. ASPC. 248. 527.1 indexed citations
13.
Kochukhov, O., N. Piskunov, Jeff A. Valenti, & C. M. Johns-Krull. (2001). The Search and Modelling of Magnetic Fields on M Dwarfs. ASPC. 248. 219.1 indexed citations
14.
Kupka, F. & N. Piskunov. (1998). CP star atmospheres based on individual ODFs. Contributions of the Astronomical Observatory Skalnaté Pleso. 27(3). 228–232.2 indexed citations
15.
Piskunov, N.. (1998). INVERS10: A New Code for Magnetic Doppler Imaging. ASPC. 154. 2029.1 indexed citations
16.
Kuschnig, R., T. Ryabchikova, N. Piskunov, & W. W. Weiß. (1995). Ap-star mapping: He, Mg, Si, and Fe surface distributions on the CP2 star CU Virginis. 176. 135.1 indexed citations
17.
Piskunov, N., F. Kupka, T. Ryabchikova, W. W. Weiß, & C. S. Jeffery. (1995). VALD: The Vienna Atomic Line Data Base.. Astronomy & Astrophysics Supplement Series. 112. 525.47 indexed citations
18.
Piskunov, N., David P. Huenemoerder, & S. H. Saar. (1994). Simultaneous SPOT and Chromosphere Maps of FK Comae. ASPC. 64. 658–660.2 indexed citations
19.
Glagolevskij, Yu. V., et al.. (1985). Investigation of the AP star alpha2 CVn magnetic field geometry from circular polarization profiles of metallic lines.. 11. 371–377.1 indexed citations
20.
Piskunov, N., et al.. (1983). Numerical modeling of circular-polarization profiles for magnetic AP stars. 9. 346–349.1 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.