Max Katz

86 papers receiving 2.1k citations

Max Katz's Hit Papers

AMReX: a framework for block-structured adaptive mesh refinement 2019 · 347 citations
3470+2+4Years since publication100200300

Peers

Max Katz
Comparison fields: 5 of 154
  • Genetics 246
  • Nature and Landscape Conservation 277
  • Reproductive Medicine 164
  • Aquatic Science 140
  • Hematology 175
Replace David J. Morris with:
David J. Morris United Kingdom
Tomoko MAKINO NAKANISHI Japan
Gary W. Stutte United States
Victor Hasselblad United States
Walter F. Scherle Switzerland
G. Kistler Switzerland
Ross J. Turner United States
Masahiko Nakamura Japan
Ian R. Johnson United Kingdom
Not Available Not Available India
Max Katz relative to David J. Morris United Kingdom David J. Morris's profile →
Citations per field
00.5×5×10×13.7×
David J. Morris · 1×
Citations per year

Countries citing papers authored by Max Katz

Since Specialization
Citations

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

Fields of papers citing papers by Max Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Max Katz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Max Katz Line = papers co-authored together Max Katz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1
AMReX: a framework for block-structured adaptive mesh refinement
Hit paper breakdown →
2019347
2 1980289
3 1996117
4 200298
5 197374
6 197267
7 196156
8 199555
9 199053
10 196549
11 200048
12 199146
13 199345
14 197445
15 198144
16 195340
17 199538
18 198838
19 202037
20 197935

About Max Katz

Max Katz is a scholar working on Reproductive Medicine, Nature and Landscape Conservation, Genetics, Rheumatology and Astronomy and Astrophysics, having authored 90 papers that have together received 2.4k indexed citations. Recurring topics across this work include Ovarian function and disorders (12 papers), Fish Ecology and Management Studies (11 papers), Folate and B Vitamins Research (7 papers), Hemoglobinopathies and Related Disorders (7 papers), Gamma-ray bursts and supernovae (6 papers), Aquaculture disease management and microbiota (5 papers), Computational Fluid Dynamics and Aerodynamics (5 papers) and Iron Metabolism and Disorders (4 papers). The work is most often cited by research in Genetics (246 citations), Nature and Landscape Conservation (277 citations), Reproductive Medicine (164 citations), Aquatic Science (140 citations) and Hematology (175 citations). Max Katz has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Don E. Weitkamp, Rudrani Chatterjee, Bernard A. Cooper, Michael Zingale, John B. Bell, Weiqun Zhang, Ann Almgren, Andrew Nonaka, B Bagni and Kevin Gott. Their work appears in journals such as Transactions of the American Fisheries Society, The Astrophysical Journal, Hormone and Metabolic Research, Journal of Parasitology and Clinical Endocrinology.

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.

Explore authors with similar magnitude of impact