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.
Highly efficient and stable planar perovskite solar cells by solution-processed tin oxide
2016735 citationsA. Kermanpur, Ludmilla Steier et al.profile →
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 A. Kermanpur'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 A. Kermanpur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Kermanpur more than expected).
This network shows the impact of papers produced by A. Kermanpur. 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 A. Kermanpur. The network helps show where A. Kermanpur may publish in the future.
Co-authorship network of co-authors of A. Kermanpur
This figure shows the co-authorship network connecting the top 25 collaborators of A. Kermanpur.
A scholar is included among the top collaborators of A. Kermanpur 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 A. Kermanpur. A. Kermanpur is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kermanpur, A., et al.. (2018). Prediction of Mechanical Properties of TWIP Steels using Artificial Neural Network Modeling. 15(2). 27–37.1 indexed citations
11.
Kermanpur, A., et al.. (2017). ON THE FORMATION OF STRAY GRAINS IN DIRECTIONALLY-SOLIDIFIED NI-BASED SUPERALLOYS WITH VARYING CROSS SECTIONS. SHILAP Revista de lepidopterología.1 indexed citations
Kalashami, Ali Ghatei, A. Kermanpur, A. Najafizadeh, & Yousef Mazaheri. (2015). The Effect of Intercritical Annealing Time on the Microstructures and Mechanical Properties of an Ultrafine Grained Dual Phase Steel Containing Niobium. 11(1). 7–11.2 indexed citations
Kermanpur, A., et al.. (2012). The Effects of Martensite Thermomechanical Parameters on the Formation of Nano/Ultrafine Grained Structure in 201LN Stainless Steel. 9(1). 20–25.2 indexed citations
16.
Najafizadeh, A., et al.. (2011). Effect of annealing process on microstructure and mechanical properties of high manganese austenitic TWIP steel. 8(1). 1–4.1 indexed citations
Kermanpur, A., et al.. (2009). COLOR METALLOGRAPHY; A SUITABLE METHOD FOR CHARACTERIZATION OF MARTENSITE AND BAINITE IN MULTIPHASE STEELS. 6(1). 14–18.21 indexed citations
19.
Forouzan, Farnoosh, A. Najafizadeh, A. Kermanpur, & Ali Hedayati. (2009). Artificial neural network models for production of nano-grained structure in AISI 304L stainless steel by predicting thermo-mechanical parameters. KTH Publication Database DiVA (KTH Royal Institute of Technology). 6(2). 6–13.2 indexed citations
20.
Dehmolaei, R., M. Shamanian, & A. Kermanpur. (2008). FACTORS AFFECTING WELDABILITY IMPROVEMENT OF DISSIMILAR WELDS OF AGED HP STAINLESS STEEL AND ALLOY 800. 5(1). 15–21.3 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.