Matthew Luciw

47 total papers · 743 total citations
37 papers, 490 citations indexed

About

Matthew Luciw is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Control and Systems Engineering. According to data from OpenAlex, Matthew Luciw has authored 37 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 21 papers in Cognitive Neuroscience and 7 papers in Control and Systems Engineering. Recurrent topics in Matthew Luciw's work include Neural dynamics and brain function (18 papers), Reinforcement Learning in Robotics (14 papers) and Neural Networks and Applications (8 papers). Matthew Luciw is often cited by papers focused on Neural dynamics and brain function (18 papers), Reinforcement Learning in Robotics (14 papers) and Neural Networks and Applications (8 papers). Matthew Luciw collaborates with scholars based in Switzerland, United States and Germany. Matthew Luciw's co-authors include Juyang Weng, Varun Raj Kompella, Ewa Jarocka, Benoni B. Edin, Jürgen Schmidhuber, Juergen Schmidhuber, Marijn Stollenga, Alexander Förster, Hung Q. Ngo and Faustino Gomez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Artificial Intelligence.

In The Last Decade

Matthew Luciw

36 papers receiving 465 citations

Author Peers

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

Author						Papers	Cites
Matthew Luciw	253	207	94	86	73	37	490
Bernard Girau	128 0.5×	200 1.0×	68 0.7×	239 2.8×	45 0.6×	62	447
Fengzhen Tang	167 0.7×	215 1.0×	113 1.2×	60 0.7×	39 0.5×	40	550
Chuangquan Chen	229 0.9×	134 0.6×	56 0.6×	60 0.7×	35 0.5×	31	427
Thomas Degris	136 0.5×	284 1.4×	44 0.5×	44 0.5×	109 1.5×	14	539
Paolo Gaudiano	206 0.8×	125 0.6×	150 1.6×	36 0.4×	89 1.2×	38	541
Ruilong Zhang	212 0.8×	66 0.3×	71 0.8×	85 1.0×	93 1.3×	23	509
Thomas Voegtlin	211 0.8×	211 1.0×	70 0.7×	77 0.9×	44 0.6×	17	444
H. Daniel Patiño	117 0.5×	121 0.6×	62 0.7×	76 0.9×	202 2.8×	29	551
Stephen J. Weddell	143 0.6×	114 0.6×	51 0.5×	171 2.0×	24 0.3×	53	420
Péter Szolgay	81 0.3×	124 0.6×	77 0.8×	148 1.7×	33 0.5×	71	458

Countries citing papers authored by Matthew Luciw

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Luciw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Luciw

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