Hirobumi Nishida

61 total papers · 512 total citations
39 papers, 333 citations indexed

About

Hirobumi Nishida is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Hirobumi Nishida has authored 39 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 7 papers in Computer Graphics and Computer-Aided Design and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Hirobumi Nishida's work include Image Retrieval and Classification Techniques (19 papers), Handwritten Text Recognition Techniques (18 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Hirobumi Nishida is often cited by papers focused on Image Retrieval and Classification Techniques (19 papers), Handwritten Text Recognition Techniques (18 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Hirobumi Nishida collaborates with scholars based in Japan. Hirobumi Nishida's co-authors include S. Mori, Tosiyasu L. Kunii, Shunji Mori, Oleg Okunev, Yoshihisa Shinagawa, Y. Nakajima, Toshihiro Suzuki, Gen Sato and Karol Myszkowski and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Pattern Recognition Letters.

In The Last Decade

Hirobumi Nishida

34 papers receiving 307 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hirobumi Nishida	278	60	32	19	17	39	333
Ibrahim El Rube	273 1.0×	32 0.5×	29 0.9×	37 1.9×	28 1.6×	24	334
Hazem Hiary	163 0.6×	71 1.2×	84 2.6×	27 1.4×	10 0.6×	29	360
Vladimir Y. Mariano	165 0.6×	78 1.3×	23 0.7×	40 2.1×	10 0.6×	40	304
Zhenping Qiang	100 0.4×	75 1.3×	39 1.2×	34 1.8×	5 0.3×	57	303
Serban Meza	47 0.2×	87 1.4×	51 1.6×	29 1.5×	10 0.6×	37	306
Peixin Qu	63 0.2×	67 1.1×	21 0.7×	27 1.4×	4 0.2×	27	299
K. Seetharaman	200 0.7×	48 0.8×	29 0.9×	53 2.8×	49 2.9×	49	353
Ahlad Kumar	124 0.4×	136 2.3×	24 0.8×	76 4.0×	8 0.5×	30	369
Ufuk Sakarya	144 0.5×	36 0.6×	28 0.9×	130 6.8×	21 1.2×	33	310
Pedro H. Bugatti	137 0.5×	67 1.1×	80 2.5×	18 0.9×	15 0.9×	36	335

Countries citing papers authored by Hirobumi Nishida

Since Specialization

Citations

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

Fields of papers citing papers by Hirobumi Nishida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hirobumi Nishida

This figure shows the co-authorship network connecting the top 25 collaborators of Hirobumi Nishida. A scholar is included among the top collaborators of Hirobumi Nishida 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 Hirobumi Nishida. Hirobumi Nishida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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