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.
The Universe Is Reionizing at z ∼ 7: Bayesian Inference of the IGM Neutral Fraction Using Lyα Emission from Galaxies
2018225 citationsCharlotte Mason, Tommaso Treu et al.The Astrophysical Journalprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Mark Dijkstra'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 Mark Dijkstra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Dijkstra more than expected).
This network shows the impact of papers produced by Mark Dijkstra. 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 Mark Dijkstra. The network helps show where Mark Dijkstra may publish in the future.
Co-authorship network of co-authors of Mark Dijkstra
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Dijkstra.
A scholar is included among the top collaborators of Mark Dijkstra 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 Mark Dijkstra. Mark Dijkstra is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ao, Yiping, Zheng Zheng, C. Henkel, et al.. (2020). Infalling gas in a Lyman-α blob. Nature Astronomy. 4(7). 670–674.5 indexed citations
3.
Mason, Charlotte, Tommaso Treu, Mark Dijkstra, et al.. (2018). The Universe Is Reionizing at z ∼ 7: Bayesian Inference of the IGM Neutral Fraction Using Lyα Emission from Galaxies. The Astrophysical Journal. 856(1). 2–2.225 indexed citations breakdown →
Bradač, Maruša, D. A. García-Appadoo, Kuang-Han Huang, et al.. (2017). ALMA [C II] 158 μm Detection of a Redshift 7 Lensed Galaxy behind RX J1347.1-1145. eScholarship (California Digital Library).37 indexed citations
Huang, Kuang-Han, B. C. Lemaux, Austin Hoag, et al.. (2016). DETECTION of LYMAN-ALPHA EMISSION from A TRIPLY IMAGED z = 6.85 GALAXY behind MACS J2129.4-0741. eScholarship (California Digital Library).22 indexed citations
9.
Treu, Tommaso, Maruša Bradač, Benedetta Vulcani, et al.. (2016). THE GRISM LENS-AMPLIFIED SURVEY FROM SPACE (GLASS). III. A CENSUS OF Lyα EMISSION AT FROM HST SPECTROSCOPY. eScholarship (California Digital Library).35 indexed citations
Mirabel, I. F., Mark Dijkstra, Philippe Laurent, Abraham Loeb, & Jonathan R. Pritchard. (2011). Stellar black holes at the dawn of the universe. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas).123 indexed citations
Dijkstra, Mark. (2004). BEYOND Lyalpha: CONSTRAINTS AND CONSISTENCY TESTS FROM THE Lybeta FORESTM. The Astrophysical Journal. 1(1). 7–13.2 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.