Erik W. Willis

31 total papers · 589 total citations
17 papers, 282 citations indexed

About

Erik W. Willis is a scholar working on Experimental and Cognitive Psychology, Linguistics and Language and Language and Linguistics. According to data from OpenAlex, Erik W. Willis has authored 17 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Experimental and Cognitive Psychology, 11 papers in Linguistics and Language and 11 papers in Language and Linguistics. Recurrent topics in Erik W. Willis's work include Phonetics and Phonology Research (14 papers), Linguistic Variation and Morphology (11 papers) and Spanish Linguistics and Language Studies (9 papers). Erik W. Willis is often cited by papers focused on Phonetics and Phonology Research (14 papers), Linguistic Variation and Morphology (11 papers) and Spanish Linguistics and Language Studies (9 papers). Erik W. Willis collaborates with scholars based in United States and Portugal. Erik W. Willis's co-authors include Travis G. Bradley, Nicholas Henriksen, Kimberly L. Geeslin, Avizia Y. Long, Megan Solon, Erik J. Nelson, Maya Luetke, Sina Kianersi and Molly Rosenberg and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Infectious Diseases and Language learning & technology.

In The Last Decade

Erik W. Willis

17 papers receiving 221 citations

Author Peers

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

Author						Papers	Cites
Erik W. Willis	237	206	154	66	30	17	282
Travis G. Bradley	200 0.8×	165 0.8×	162 1.1×	51 0.8×	34 1.1×	28	267
Nicholas Henriksen	198 0.8×	179 0.9×	135 0.9×	62 0.9×	30 1.0×	26	231
Stefanie Jannedy	174 0.7×	139 0.7×	118 0.8×	89 1.3×	29 1.0×	29	259
Thomas F. Shannon	177 0.7×	149 0.7×	185 1.2×	85 1.3×	46 1.5×	36	331
Rajiv Rao	219 0.9×	162 0.8×	149 1.0×	77 1.2×	36 1.2×	23	264
B Newton	153 0.6×	167 0.8×	188 1.2×	57 0.9×	36 1.2×	27	320
Marianna Di Paolo	205 0.9×	259 1.3×	136 0.9×	52 0.8×	10 0.3×	13	298
Katarzyna Dziubalska-Kołaczyk	162 0.7×	124 0.6×	110 0.7×	80 1.2×	56 1.9×	30	248
Chin-Chuan Cheng	144 0.6×	96 0.5×	76 0.5×	81 1.2×	42 1.4×	16	219
Nancy C. Kula	164 0.7×	201 1.0×	216 1.4×	85 1.3×	13 0.4×	37	313

Countries citing papers authored by Erik W. Willis

Since Specialization

Citations

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

Fields of papers citing papers by Erik W. Willis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik W. Willis. 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 Erik W. Willis. The network helps show where Erik W. Willis may publish in the future.

Co-authorship network of co-authors of Erik W. Willis

This figure shows the co-authorship network connecting the top 25 collaborators of Erik W. Willis. A scholar is included among the top collaborators of Erik W. Willis 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 Erik W. Willis. Erik W. Willis 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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