R. Nakamura

33 total papers · 1.1k total citations
24 papers, 825 citations indexed

About

R. Nakamura is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, R. Nakamura has authored 24 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Electrical and Electronic Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in R. Nakamura's work include Electricity Theft Detection Techniques (10 papers), Network Security and Intrusion Detection (5 papers) and Artificial Immune Systems Applications (5 papers). R. Nakamura is often cited by papers focused on Electricity Theft Detection Techniques (10 papers), Network Security and Intrusion Detection (5 papers) and Artificial Immune Systems Applications (5 papers). R. Nakamura collaborates with scholars based in Brazil, United Kingdom and Canada. R. Nakamura's co-authors include João Paulo Papa, Kelton Augusto Pontara da Costa, Xin‐She Yang, Douglas Rodrigues, Luís A. M. Pereira, André Nunes de Souza, Alexandre X. Falcão, Clayton R. Pereira, João Manuel R. S. Tavares and Victor Hugo C. de Albuquerque and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

R. Nakamura

21 papers receiving 785 citations

Author Peers

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

Author						Papers	Cites
R. Nakamura	468	145	122	90	89	24	825
Luís A. M. Pereira	554 1.2×	155 1.1×	102 0.8×	116 1.3×	48 0.5×	28	985
S.N. Omkar	406 0.9×	135 0.9×	85 0.7×	73 0.8×	78 0.9×	20	1.0k
En Fan	267 0.6×	230 1.6×	148 1.2×	62 0.7×	85 1.0×	45	956
Zongben Xu	199 0.4×	195 1.3×	68 0.6×	95 1.1×	70 0.8×	14	728
Sultan Almotairi	256 0.5×	228 1.6×	125 1.0×	96 1.1×	56 0.6×	57	840
Chih‐Wei Hsu	338 0.7×	208 1.4×	86 0.7×	39 0.4×	42 0.5×	17	801
Xiaohong Han	378 0.8×	219 1.5×	33 0.3×	63 0.7×	47 0.5×	28	909
Malay K. Pakhira	568 1.2×	264 1.8×	57 0.5×	38 0.4×	77 0.9×	22	915
Bowen Zhao	312 0.7×	235 1.6×	149 1.2×	72 0.8×	31 0.3×	20	770
Jwan Najeeb Saeed	327 0.7×	225 1.6×	77 0.6×	54 0.6×	37 0.4×	17	839

Countries citing papers authored by R. Nakamura

Since Specialization

Citations

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

Fields of papers citing papers by R. Nakamura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of R. Nakamura. A scholar is included among the top collaborators of R. Nakamura 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 R. Nakamura. R. Nakamura 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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