Anu G. Bourgeois

123 total papers · 1.3k total citations
87 papers, 827 citations indexed

About

Anu G. Bourgeois is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Anu G. Bourgeois has authored 87 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Networks and Communications, 17 papers in Electrical and Electronic Engineering and 13 papers in Artificial Intelligence. Recurrent topics in Anu G. Bourgeois's work include Wireless Networks and Protocols (10 papers), Energy Efficient Wireless Sensor Networks (9 papers) and Peer-to-Peer Network Technologies (7 papers). Anu G. Bourgeois is often cited by papers focused on Wireless Networks and Protocols (10 papers), Energy Efficient Wireless Sensor Networks (9 papers) and Peer-to-Peer Network Technologies (7 papers). Anu G. Bourgeois collaborates with scholars based in United States, Mexico and China. Anu G. Bourgeois's co-authors include Feng Tan, Yanqing Zhang, Zhipeng Cai, Liang Cheng, Yi Pan, Shouling Ji, Rajshekhar Sunderraman, Xin Zhang, Jerry L. Trahan and Pingzhi Fan and has published in prestigious journals such as BMC Bioinformatics, American Journal of Tropical Medicine and Hygiene and BMC Genomics.

In The Last Decade

Anu G. Bourgeois

80 papers receiving 791 citations

Author Peers

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

Author						Papers	Cites
Anu G. Bourgeois	411	208	196	125	90	87	827
Meng Qin	485 1.2×	292 1.4×	224 1.1×	116 0.9×	25 0.3×	55	856
Steven Davy	683 1.7×	272 1.3×	138 0.7×	242 1.9×	66 0.7×	51	980
Weiping Wang	389 0.9×	122 0.6×	197 1.0×	194 1.6×	134 1.5×	102	791
A. Kumaravel	299 0.7×	90 0.4×	245 1.3×	176 1.4×	46 0.5×	50	822
Sangyoon Oh	555 1.4×	230 1.1×	176 0.9×	375 3.0×	35 0.4×	80	963
Juan Chen	325 0.8×	76 0.4×	252 1.3×	101 0.8×	33 0.4×	94	788
Sergey Bezzateev	295 0.7×	148 0.7×	236 1.2×	348 2.8×	32 0.4×	81	721
Sang-Soo Yeo	462 1.1×	152 0.7×	227 1.2×	355 2.8×	42 0.5×	92	916
Junwei Zhang	288 0.7×	172 0.8×	317 1.6×	257 2.1×	99 1.1×	57	885
Yiqi Dai	355 0.9×	137 0.7×	290 1.5×	185 1.5×	17 0.2×	80	748

Countries citing papers authored by Anu G. Bourgeois

Since Specialization

Citations

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

Fields of papers citing papers by Anu G. Bourgeois

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anu G. Bourgeois. 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 Anu G. Bourgeois. The network helps show where Anu G. Bourgeois may publish in the future.

Co-authorship network of co-authors of Anu G. Bourgeois

This figure shows the co-authorship network connecting the top 25 collaborators of Anu G. Bourgeois. A scholar is included among the top collaborators of Anu G. Bourgeois 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 Anu G. Bourgeois. Anu G. Bourgeois 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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