Wally Welker

83 total papers · 5.2k total citations
48 papers, 3.6k citations indexed

About

Wally Welker is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Wally Welker has authored 48 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 19 papers in Cellular and Molecular Neuroscience and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Wally Welker's work include Neural dynamics and brain function (19 papers), Vestibular and auditory disorders (8 papers) and Neuroscience and Neural Engineering (8 papers). Wally Welker is often cited by papers focused on Neural dynamics and brain function (19 papers), Vestibular and auditory disorders (8 papers) and Neuroscience and Neural Engineering (8 papers). Wally Welker collaborates with scholars based in United States and Chile. Wally Welker's co-authors include Georgia M. Shambes, Martin Gibson, John Irwin Johnson, Gilberto Belisário Campos, D. H. Beermann, B. H. Pubols, Thomas D. Parker, Richard F. Thompson, Suzann K. Campbell and Jeffrey Kassel and has published in prestigious journals such as Ecology, The Journal of Comparative Neurology and Journal of Neurophysiology.

In The Last Decade

Wally Welker

48 papers receiving 3.5k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Wally Welker 2.0k 1.6k 996 554 345 48 3.6k
Heinz Künzle 1.5k 0.7× 1.5k 1.0× 671 0.7× 221 0.4× 227 0.7× 64 3.3k
I. Darian-Smith 2.6k 1.3× 1.2k 0.7× 695 0.7× 390 0.7× 282 0.8× 55 4.3k
Ian Q. Whishaw 1.4k 0.7× 1.3k 0.8× 570 0.6× 204 0.4× 384 1.1× 48 3.0k
Shaowen Bao 2.7k 1.4× 1.8k 1.1× 947 1.0× 1.2k 2.2× 249 0.7× 63 4.6k
John K. Harting 2.8k 1.4× 2.1k 1.3× 1.2k 1.2× 874 1.6× 196 0.6× 64 4.8k
James R. Ison 2.4k 1.2× 1.7k 1.1× 795 0.8× 1.4k 2.5× 393 1.1× 153 5.1k
Ray S. Snider 1.3k 0.7× 2.1k 1.3× 1.7k 1.7× 543 1.0× 356 1.0× 89 4.9k
János Szentágothai 1.8k 0.9× 2.1k 1.3× 1.9k 1.9× 769 1.4× 277 0.8× 32 4.4k
James M. Sprague 3.1k 1.6× 1.8k 1.1× 1.2k 1.2× 639 1.2× 408 1.2× 74 6.1k
Mitchell Glickstein 2.5k 1.3× 1.2k 0.7× 1.9k 1.9× 439 0.8× 563 1.6× 62 4.6k

Countries citing papers authored by Wally Welker

Since Specialization
Citations

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

Fields of papers citing papers by Wally Welker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wally Welker

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