H. Ito

481 citations
31 papers · 317 · h-index 10

Impact in

Papers in

H. Ito

29 papers receiving 292 citations

Peers

H. Ito
Comparison fields: 5 of 98
  • Hardware and Architecture 63
  • Computational Theory and Mathematics 39
  • Computer Networks and Communications 53
  • Microbiology 12
  • Artificial Intelligence 56
Replace Z. Hajduk with:
Z. Hajduk Poland
Dong‐Gi Lee South Korea
Gerrit Voß Germany
Jaehong Park South Korea
Eleanor Chu Canada
Tetsuo Nishi Japan
Soo-Young Lee United States
Sung Mo Kang South Korea
Keith Paton United Kingdom
Bartosz Bosak Poland
H. Ito relative to Z. Hajduk Poland Z. Hajduk's profile →
Citations per field
00.5×2.5×
Z. Hajduk · 1×
Citations per year

Countries citing papers authored by H. Ito

Since Specialization
Citations

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

Fields of papers citing papers by H. Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside H. Ito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with H. Ito Line = papers co-authored together H. Ito links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199281
2 200332
3 200230
4 199030
5 200418
6 199414
7 201412
8 200211
9 198711
10 199511
11
A Faster and Flexible Algorithm for a Location Problem on Undirected Flow Networks
20009
12 20217
13 20157
14 20186
15 20026
16 19875
17 20174
18 19924
19 20023
20 20222

About H. Ito

H. Ito is a scholar working on Electrical and Electronic Engineering, Condensed Matter Physics, Hardware and Architecture, Mechanical Engineering and Biomedical Engineering, having authored 31 papers that have together received 317 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (4 papers), Transportation Planning and Optimization (3 papers), Modular Robots and Swarm Intelligence (3 papers), Gas Sensing Nanomaterials and Sensors (3 papers), GaN-based semiconductor devices and materials (2 papers), Advanced Condensed Matter Physics (2 papers), Complex Network Analysis Techniques (2 papers) and Electronic and Structural Properties of Oxides (2 papers). The work is most often cited by research in Hardware and Architecture (63 citations), Computational Theory and Mathematics (39 citations), Computer Networks and Communications (53 citations), Microbiology (12 citations) and Artificial Intelligence (56 citations). H. Ito has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include K. Kobayashi, Шун-ичи Амари, Katsuhiro Nishinari, Atsuko Yanagisawa‐Miwa, T Sugimoto, K. Oguri, Katsunori Wakabayashi, Michio Nomura, Masato Motomura and Hiroshi Nakada. Their work appears in journals such as APL Materials, Blood, Medical Physics, Applied Radiation and Isotopes and Circulation.

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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