Andrew See

20 total papers · 707 total citations
13 papers, 434 citations indexed

About

Andrew See is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Andrew See has authored 13 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Signal Processing, 5 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Andrew See's work include Advanced Malware Detection Techniques (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers) and Security and Verification in Computing (4 papers). Andrew See is often cited by papers focused on Advanced Malware Detection Techniques (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers) and Security and Verification in Computing (4 papers). Andrew See collaborates with scholars based in United States, Taiwan and Italy. Andrew See's co-authors include Nicolas Nicolaou, Peng Xie, Jun‐Hong Cui, Dario Maggiorini, Laurent Michel, Pascal Van Hentenryck, Zhijie Shi, Zhong Zhou, Aggelos Kiayias and Alexander Russell and has published in prestigious journals such as Computers & Operations Research, INFORMS journal on computing and EURASIP Journal on Wireless Communications and Networking.

In The Last Decade

Andrew See

12 papers receiving 415 citations

Author Peers

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

Author						Papers	Cites
Andrew See	340	337	237	88	46	13	434
Mohsin Raza Jafri	276 0.8×	256 0.8×	206 0.9×	69 0.8×	21 0.5×	20	368
Arshad Sher	271 0.8×	189 0.6×	291 1.2×	61 0.7×	25 0.5×	21	454
Aline Baggio	332 1.0×	139 0.4×	277 1.2×	29 0.3×	32 0.7×	15	435
Veena Anand	347 1.0×	81 0.2×	254 1.1×	43 0.5×	56 1.2×	33	482
Petrika Gjanci	286 0.8×	373 1.1×	230 1.0×	107 1.2×	22 0.5×	19	476
Ruoyu Su	237 0.7×	160 0.5×	245 1.0×	39 0.4×	35 0.8×	22	393
Anuj Sehgal	305 0.9×	113 0.3×	124 0.5×	31 0.4×	35 0.8×	24	428
Jiejun Kong	322 0.9×	124 0.4×	162 0.7×	24 0.3×	149 3.2×	11	389
Xianhui Che	153 0.5×	324 1.0×	313 1.3×	51 0.6×	15 0.3×	16	462
Amin Y. Teymorian	283 0.8×	301 0.9×	344 1.5×	23 0.3×	95 2.1×	13	484

Countries citing papers authored by Andrew See

Since Specialization

Citations

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

Fields of papers citing papers by Andrew See

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew See

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