William J. Lammers

29 total papers · 1.0k total citations
22 papers, 744 citations indexed

About

William J. Lammers is a scholar working on Social Psychology, Education and Cognitive Neuroscience. According to data from OpenAlex, William J. Lammers has authored 22 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Social Psychology, 9 papers in Education and 5 papers in Cognitive Neuroscience. Recurrent topics in William J. Lammers's work include Communication in Education and Healthcare (7 papers), Evaluation of Teaching Practices (6 papers) and Online and Blended Learning (4 papers). William J. Lammers is often cited by papers focused on Communication in Education and Healthcare (7 papers), Evaluation of Teaching Practices (6 papers) and Online and Blended Learning (4 papers). William J. Lammers collaborates with scholars based in United States, Russia and United Kingdom. William J. Lammers's co-authors include Pietro Badia, John J. Murphy, Mark Tippens Reinitz, J. Arthur Gillaspy, John Harsh, Nancy J. Wesensten, John R. Slate, Rod J. Hughes, Elena Savina and Sarah K. Davis and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Political Science Review and Journal of Autism and Developmental Disorders.

In The Last Decade

William J. Lammers

22 papers receiving 665 citations

Author Peers

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

Author Last Decade Papers Cites
William J. Lammers 268 257 185 101 96 22 744
Matthew Mundy 294 1.1× 189 0.7× 75 0.4× 102 1.0× 69 0.7× 45 798
Elisabeth Moores 276 1.0× 223 0.9× 159 0.9× 67 0.7× 181 1.9× 29 781
K. Laurie Dickson 218 0.8× 205 0.8× 277 1.5× 169 1.7× 200 2.1× 24 778
Gerry Pallier 212 0.8× 80 0.3× 138 0.7× 351 3.5× 112 1.2× 16 724
Samuel P. León 222 0.8× 146 0.6× 175 0.9× 42 0.4× 147 1.5× 54 756
Oriana R. Aragón 104 0.4× 250 1.0× 217 1.2× 99 1.0× 66 0.7× 20 721
Karolina Urton 320 1.2× 124 0.5× 193 1.0× 226 2.2× 118 1.2× 24 705
Maria F. Dal Martello 265 1.0× 95 0.4× 80 0.4× 185 1.8× 196 2.0× 18 629
George Semb 147 0.5× 310 1.2× 75 0.4× 83 0.8× 337 3.5× 35 771
Robert R. Pagano 228 0.9× 49 0.2× 162 0.9× 104 1.0× 45 0.5× 23 835

Countries citing papers authored by William J. Lammers

Since Specialization
Citations

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

Fields of papers citing papers by William J. Lammers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William J. Lammers. 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 William J. Lammers. The network helps show where William J. Lammers may publish in the future.

Co-authorship network of co-authors of William J. Lammers

This figure shows the co-authorship network connecting the top 25 collaborators of William J. Lammers. A scholar is included among the top collaborators of William J. Lammers 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 William J. Lammers. William J. Lammers 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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