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.
III–nitrides: Growth, characterization, and properties
This map shows the geographic impact of J. Narayan'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. Narayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Narayan more than expected).
This network shows the impact of papers produced by J. Narayan. 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. Narayan. The network helps show where J. Narayan may publish in the future.
Co-authorship network of co-authors of J. Narayan
This figure shows the co-authorship network connecting the top 25 collaborators of J. Narayan.
A scholar is included among the top collaborators of J. Narayan 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. Narayan. J. Narayan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kumar, D., et al.. (2017). Dependence of grain size and defect density on the magnetic properties of mechanically alloyed Fe90W10 powder. Bulletin of the American Physical Society. 2017.1 indexed citations
6.
Singamaneni, Srinivasa Rao, J. T. Prater, Fan Wu, et al.. (2014). Magnetic coupling in Epitaxial BiFeO$_{3}$-La$_{0.7}$Sr$_{0.3}$MnO$_{3}$ Heterostructures Integrated on Si(100). Bulletin of the American Physical Society. 2014.
7.
Singamaneni, Srinivasa Rao, J. T. Prater, Fan Wu, et al.. (2014). Positive exchange bias in epitaxial permalloy/MgO integrated with Si (100). Bulletin of the American Physical Society. 2014.2 indexed citations
Gupta, Alok, Ravi Aggarwal, & J. Narayan. (2008). A Novel approach towards integration of VO$_{2}$ thin films on Si(100) for thermal switching devices applications. Bulletin of the American Physical Society. 75.1 indexed citations
11.
Narayan, J., et al.. (2008). Twinners and climbers of Varanasi Division (U.P.), India.. PLANT ARCHIVES. 8(2). 613–619.3 indexed citations
Tiwari, Ashutosh, et al.. (2002). Epitaxial growth of ZnO films on Si(111). Journal of materials research/Pratt's guide to venture capital sources. 17(10). 2480–2483.45 indexed citations
14.
Singh, Rajiv K., D. H. Lowndes, Douglas B. Chrisey, É. Fogarassy, & J. Narayan. (1998). Advances in laser ablation of materials. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4. 119–24.30 indexed citations
15.
Christen, D. K., J. Narayan, & L. F. Schneemeyer. (1990). High-temperature superconductors : fundamental properties and novel materials processing : symposium held November 27-December 2, 1989, Boston, Massachusetts, U.S.A..1 indexed citations
Wortman, Jennifer R., J. Narayan, Sunghyun Choi, et al.. (1987). Section News. MRS Bulletin. 12(2). 74–75.1 indexed citations
18.
Aziz, Michael J., C. W. White, J. Narayan, & B. Stritzker. (1985). Melting of crystalline and amorphous silicon by Ruby, XeCl and KrF laser irradiation. STIN. 86. 11468.4 indexed citations
Narayan, J.. (1971). THE KINETICS OF SELF DIFFUSION AND DISLOCATION GLIDE IN MAGNESIUM OXIDE. eScholarship (California Digital Library).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.