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.
Management of singlet and triplet excitons for efficient white organic light-emitting devices
This map shows the geographic impact of Hiroshi Kanno'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 Hiroshi Kanno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Kanno more than expected).
This network shows the impact of papers produced by Hiroshi Kanno. 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 Hiroshi Kanno. The network helps show where Hiroshi Kanno may publish in the future.
Co-authorship network of co-authors of Hiroshi Kanno
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Kanno.
A scholar is included among the top collaborators of Hiroshi Kanno 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 Hiroshi Kanno. Hiroshi Kanno is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kanno, Hiroshi, et al.. (2014). Vegetation change in various coastal forest habitats after a huge tsunami: a three-year study.. 19(2). 201–220.3 indexed citations
10.
Tomita, Mizuki, et al.. (2014). Influence of tsunamis as large, infrequent disturbances on tree communities of coastal forests.. 19(2). 163–176.2 indexed citations
Kanno, Hiroshi, et al.. (2002). Preliminary Report on Taxonomic Re-examination of Gloeosporium laeticolor Berkeley(Abstracts Presented at the Meeting of the Kanto Division). 68(1). 66–67.1 indexed citations
13.
Rajeswaran, G., Masahiro Itoh, Kiyoshi Yoneda, et al.. (2000). 40.1:Active Matrix Low Temperature Poly-Si TFT/OLED Full Color Displays:Development States(2-2.セッション40 OLED DEVICES)(Society for Information Display 00 Report). 24(42). 66.1 indexed citations
14.
Takahashi, Chiaki, Hiroshi Kanno, R. Honkura, & Takao Tsukiboshi. (1999). Nectria blight, a new disease of gerbera (Gerbera spp.) caused by Nectria haematococca complex in Japan.1 indexed citations
15.
Kanno, Hiroshi & R. Honkura. (1998). Grey mould of Malabar nightshade (Basella rubra L.), parsley (Petroselinum crispum Nym.), bishop's weed (Ammi majus L.) and blue lace flower (Didiscus caeruleus DC.) caused by Botrytis cinerea.. 91–95.1 indexed citations
16.
Takahashi, Hisakazu, Tatsuya Usuki, Kenichi Shibata, et al.. (1998). Durable Molecular Organic Electroluminescent Devices and Their Frequency Responses to a New Accurate Driving Method. IEICE Transactions on Electronics. 81(7). 1034–1040.1 indexed citations
17.
Kanno, Hiroshi. (1994). An Overview of Research on Chinese Commentaries of the Lotus Sutra. 66. 87–103.1 indexed citations
Ono, Kenji, et al.. (1952). A Research on the Treatment of Complex Sulphide Ores. III : Selective Sulphatization Process. Science Reports of the Research Institutes, Tohoku University, Series A: Physics, Chemistry, and Metallurgy. 4. 506–520.1 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.