Steven M. Lulich

133 total papers · 652 total citations
76 papers, 460 citations indexed

About

Steven M. Lulich is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Steven M. Lulich has authored 76 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 53 papers in Experimental and Cognitive Psychology and 24 papers in Signal Processing. Recurrent topics in Steven M. Lulich's work include Phonetics and Phonology Research (53 papers), Speech Recognition and Synthesis (52 papers) and Speech and Audio Processing (22 papers). Steven M. Lulich is often cited by papers focused on Phonetics and Phonology Research (53 papers), Speech Recognition and Synthesis (52 papers) and Speech and Audio Processing (22 papers). Steven M. Lulich collaborates with scholars based in United States, Hungary and Canada. Steven M. Lulich's co-authors include Abeer Alwan, Mitchell S. Sommers, John Morton, Tamás Gábor Csapó, Kelly Berkson, Kenneth De Jong, Shizhen Wang, William G. Pearson, Asaf Bachrach and Rita R. Patel and has published in prestigious journals such as The Journal of the Acoustical Society of America, Ultrasound in Medicine & Biology and IEEE Signal Processing Letters.

In The Last Decade

Steven M. Lulich

68 papers receiving 411 citations

Author Peers

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

Author Last Decade Papers Cites
Steven M. Lulich 349 278 215 160 60 76 460
Asterios Toutios 283 0.8× 227 0.8× 273 1.3× 124 0.8× 23 0.4× 51 543
Daniel Aalto 177 0.5× 169 0.6× 132 0.6× 92 0.6× 20 0.3× 59 500
A. Maynard Engebretson 145 0.4× 193 0.7× 126 0.6× 113 0.7× 28 0.5× 35 408
David Talkin 311 0.9× 262 0.9× 201 0.9× 184 1.1× 25 0.4× 21 519
Hermann J. Künzel 244 0.7× 238 0.9× 179 0.8× 97 0.6× 55 0.9× 24 416
C. H. Coker 318 0.9× 228 0.8× 206 1.0× 67 0.4× 20 0.3× 36 488
Jacqueline Vaissière 190 0.5× 311 1.1× 69 0.3× 203 1.3× 133 2.2× 63 486
Klára Vicsi 268 0.8× 186 0.7× 140 0.7× 100 0.6× 6 0.1× 52 496
Donald J. Sharf 164 0.5× 334 1.2× 75 0.3× 66 0.4× 114 1.9× 39 410
Michèle Castellengo 303 0.9× 320 1.2× 169 0.8× 373 2.3× 27 0.5× 17 543

Countries citing papers authored by Steven M. Lulich

Since Specialization
Citations

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

Fields of papers citing papers by Steven M. Lulich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven M. Lulich. 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 Steven M. Lulich. The network helps show where Steven M. Lulich may publish in the future.

Co-authorship network of co-authors of Steven M. Lulich

This figure shows the co-authorship network connecting the top 25 collaborators of Steven M. Lulich. A scholar is included among the top collaborators of Steven M. Lulich 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 Steven M. Lulich. Steven M. Lulich 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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