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.
Molecfit: A general tool for telluric absorption correction
2015424 citationsA. Smette, H. Sana et al.Astronomy and Astrophysicsprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of P. Ballester'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 P. Ballester with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Ballester more than expected).
This network shows the impact of papers produced by P. Ballester. 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 P. Ballester. The network helps show where P. Ballester may publish in the future.
Co-authorship network of co-authors of P. Ballester
This figure shows the co-authorship network connecting the top 25 collaborators of P. Ballester.
A scholar is included among the top collaborators of P. Ballester 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 P. Ballester. P. Ballester is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ballester, P., et al.. (2020). Astronomical Data Analysis Software and Systems XXVII. 522.22 indexed citations
3.
Smette, A., Wolfgang Kausch, H. Sana, et al.. (2015). Molecfit: Telluric absorption correction tool. ascl.1 indexed citations
4.
Smette, A., H. Sana, Stefan Noll, et al.. (2015). Molecfit: A general tool for telluric absorption correction. Astronomy and Astrophysics. 576. A77–A77.424 indexed citations breakdown →
Ballester, P., D. Egret, & Nuria P. F. Lorente. (2012). Astronomical Data Analysis Software and Systems XXI. 461.11 indexed citations
7.
Modigliani, A., P. Goldoni, F. Royer, et al.. (2010). The X-shooter pipeline. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7737. 773728–773728.94 indexed citations
8.
Hook, Richard, M. Romaniello, S. Maisala, et al.. (2008). ESO Reflex: A Graphical Workflow Engine for Astronomical Data Reduction. Msngr. 131. 42–44.2 indexed citations
9.
Hook, R. N., M. Romaniello, P. Ballester, et al.. (2008). ESO Reflex: A Graphical Workflow Engine for Data Reduction. ASPC. 394. 578.2 indexed citations
10.
Ballester, P., et al.. (2008). CLIP: Bridging Pipelines to Instrument Control Software. ASPC. 394. 577.4 indexed citations
11.
Delplancke, F., Samuel Lévêque, P. Ballester, et al.. (2006). PRIMA for the VLTI: a status report. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6268. 62680U–62680U.9 indexed citations
Ballester, P., P. Kervella, A. Richichi, et al.. (2001). The VLTI Data Flow System: from observation preparation to data processing. Msngr. 106. 2–6.
17.
Ballester, P., A. Modigliani, S. Cristiani, et al.. (2000). The UVES Data Reduction Pipeline. The Messenger. 101. 31–36.134 indexed citations
18.
Albrecht, M., et al.. (1999). Java for astronomy: software development at ESO/ST-ECF.. Msngr. 98. 30–32.1 indexed citations
19.
Fontana, A. & P. Ballester. (1995). FITLYMAN: a Midas tool for the analysis of absorption spectra.. Msngr. 80. 37–41.3 indexed citations
20.
Ballester, P.. (1992). Reduction of Echelle Spectra with MIDAS. 41. 177.1 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.