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.
Fast and ultrafast Kelvin wave modulations of the equatorial evening F region vertical drift and spread F development
2015309 citationsM. A. Abdu, P. P. Batista et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of D. Pancheva'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 D. Pancheva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Pancheva more than expected).
This network shows the impact of papers produced by D. Pancheva. 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 D. Pancheva. The network helps show where D. Pancheva may publish in the future.
Co-authorship network of co-authors of D. Pancheva
This figure shows the co-authorship network connecting the top 25 collaborators of D. Pancheva.
A scholar is included among the top collaborators of D. Pancheva 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 D. Pancheva. D. Pancheva is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lu, H., D. Pancheva, P. Mukhtarov, & Ingrid Cnossen. (2012). QBO Modulation of Transient Planetary Waves during Northern Winter. EGUGA. 11010.1 indexed citations
Pancheva, D., Plamen Mukhtarov, M. G. Shepherd, et al.. (2006). Planetary wave coupling of the low latitude atmosphere-ionosphere system. cosp. 36. 2045.1 indexed citations
Pancheva, D.. (2001). Evidence for Nonlinear Interaction Between Quasi-2-Day Wave and Long-Period Oscillations in the Lower Thermosphere above Bulgaria. Comptes Rendus De L Academie Bulgare Des Sciences. 54. 2.1 indexed citations
12.
Pancheva, D.. (2000). Evidence for the Coupling Between TCO and Tidal Wind in the Lower Thermosphere over Bulgaria. Comptes Rendus De L Academie Bulgare Des Sciences. 53. 2.1 indexed citations
13.
Juchnikowski, G., I. Stanisławska, S. S. Kouris, et al.. (1999). Comparison of various foF2 single station models for European area. 47. 77–91.1 indexed citations
14.
Pancheva, D., et al.. (1992). Simultaneous quasi-periodical fluctuations observed in the mesospheric neutral wind and the lower and upper ionosphere. 18(2). 3–12.2 indexed citations
15.
Данилов, А. Д., et al.. (1992). The ionospheric D-region and solar activity.. Ge&Ae. 32(4). 107–111.4 indexed citations
16.
Pancheva, D., et al.. (1991). Climatic variations of the ionospheric absorption of radio waves in the short-wave range. Geomagnetism and Aeronomy. 31. 1070–1073.4 indexed citations
17.
Laštovička, Jan, et al.. (1990). On some difference in the behaviour of the upper and lower part of the lower ionosphere in relation to meteorological parameters. Annales Geophysicae. 8. 599–608.7 indexed citations
18.
Pancheva, D. & Jan Laštovička. (1989). Solar or meteorological control of lower ionospheric fluctuations (2-15 and 27 days) in middle latitudes. NASA Technical Reports Server (NASA). 29. 210–214.15 indexed citations
19.
Pancheva, D.. (1988). Travelling quasi-two-day fluctuations in the summer F-region. 41(11). 41–44.13 indexed citations
20.
Pancheva, D.. (1986). Electric field effect on longitudinal variations of F night region. 39(3). 65–68.1 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.