Hiroki Ikeda

2.0k total citations
42 papers, 968 citations indexed

About

Hiroki Ikeda is a scholar working on Computer Networks and Communications, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Hiroki Ikeda has authored 42 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 11 papers in Molecular Biology and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Hiroki Ikeda's work include Network Traffic and Congestion Control (7 papers), Diabetes and associated disorders (4 papers) and Software-Defined Networks and 5G (3 papers). Hiroki Ikeda is often cited by papers focused on Network Traffic and Congestion Control (7 papers), Diabetes and associated disorders (4 papers) and Software-Defined Networks and 5G (3 papers). Hiroki Ikeda collaborates with scholars based in Japan, United States and Switzerland. Hiroki Ikeda's co-authors include Yuichiro Yamada, Yutaka Seino, Shinya Toyokuni, Kôji Uchida, Hiroyuki Odaka, Toshihiro Tanaka, Y Ihara, H Hiai, Kazuaki Nagashima and Takashi Miki and has published in prestigious journals such as Nature Communications, Journal of Molecular Biology and Development.

In The Last Decade

Hiroki Ikeda

37 papers receiving 933 citations

Peers

Hiroki Ikeda
Comparison fields: 5 of 114
  • Molecular Biology 347
  • Surgery 276
  • Endocrinology, Diabetes and Metabolism 275
  • Genetics 131
  • Physiology 124
Replace Alexander Čegan with:
Alexander Čegan Czechia
Shiwen Zhou China
Sonja Zafirović Serbia
Minglong Shao China
Mohamed Lotfy United Arab Emirates
Yanjun Liu United States
Yujuan Li China
Suhua Qi China
Isabel González‐Mariscal United States
Hugues Chevassus France
Alexander Čegan Czechia View profile →
Citations per field, relative to Hiroki Ikeda
Hiroki Ikeda · 1×
Citations per year, relative to Hiroki Ikeda
Hiroki Ikeda · 1×

Countries citing papers authored by Hiroki Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Hiroki Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroki Ikeda

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 6
5 7
6 64
7 13
8 2
9 10
10 1
11 37
12 5
13 79
14 5
15 97
16 8
17 1
18
Performance Evaluation of ACK-Based and NAK-Based Flow Control Mechanisms for Reliable Multicast Communications
7
19
A Network-Supported Server Load Balancing Method: Active Anycast
10
20 432

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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