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.
Summary of constitutional data on the Aluminum-Carbon-Titanium system
Countries citing papers authored by J. C. Schuster
Since
Specialization
Citations
This map shows the geographic impact of J. C. Schuster'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 J. C. Schuster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. C. Schuster more than expected).
This network shows the impact of papers produced by J. C. Schuster. 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 J. C. Schuster. The network helps show where J. C. Schuster may publish in the future.
Co-authorship network of co-authors of J. C. Schuster
This figure shows the co-authorship network connecting the top 25 collaborators of J. C. Schuster.
A scholar is included among the top collaborators of J. C. Schuster 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 J. C. Schuster. J. C. Schuster is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Filipits, Martin, Johannes Drach, Gudrun Pohl, et al.. (1999). Expression of the lung resistance protein predicts poor outcome in patients with multiple myeloma.. PubMed. 5(9). 2426–30.39 indexed citations
11.
Du, Yong & J. C. Schuster. (1998). Experimental investigation and thermodynamic modeling of the Ni-Ti-C system. Zeitschrift für Metallkunde. 89(6). 399–410.28 indexed citations
12.
Naka, Masaaki, et al.. (1996). BONDING AND INTERFACIAL STRUCTURES OF SIC/ZR JOINT. 25(1). 59–62.1 indexed citations
13.
Naka, M., et al.. (1996). Bonding and Interfacial Structures of SiC/Zr Joint(Materials, Metallurgy & Weldability). Transactions of JWRI. 25(1). 59–62.1 indexed citations
14.
Schuster, J. C. & H Ludwig. (1994). [Smoking and the risk of cancer].. PubMed. 144(22-23). 540–4.8 indexed citations
15.
Naka, M., et al.. (1994). Interfacial Structure and Reaction Mechanism of SiC/Nb Joints(Materials, Metallurgy & Weldability). Transactions of JWRI. 23(1). 191–196.1 indexed citations
16.
Rogl, P. & J. C. Schuster. (1992). Phase diagrams of ternary boron nitride and silicon nitride systems. ASM International eBooks.101 indexed citations
17.
Lemkey, F. D., J. G. Smeggil, Richard Bailey, J. C. Schuster, & H. Nowotny. (1987). High-temperature oxidation/corrosion of iron-based superalloys. High Temperatures-High Pressures. 18(3). 283–291.
18.
Schuster, J. C., Josef Bauer, & J. Debuigne. (1983). Investigation of phase equilibria related to fusion reactor materials. Pt. 1. Journal of Nuclear Materials. 116. 131–135.18 indexed citations
19.
Schuster, J. C. & H. Nowotny. (1980). INVESTIGATIONS OF THE TERNARY SYSTEMS (ZR, HF, NB, TA)-AL-C AND STUDIES ON COMPLEX CARBIDES.34 indexed citations
20.
Lux, F., Rolf Zeisler, & J. C. Schuster. (1975). Investigation of the interaction between surgical implants and tissue by activation analysis. Transactions of the American Nuclear Society. 21(3). 1–2.3 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.