Phillip Hamrick

893 citations
50 papers · 537 · h-index 13

Impact in

Papers in

Phillip Hamrick

48 papers receiving 498 citations

Peers

Phillip Hamrick
Comparison fields: 5 of 84
  • Developmental and Educational Psychology 223
  • Biophysics 66
  • Language and Linguistics 110
  • Cognitive Neuroscience 171
  • Physical and Theoretical Chemistry 43
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Citations per year

Countries citing papers authored by Phillip Hamrick

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Hamrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Phillip Hamrick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Phillip Hamrick Line = papers co-authored together Phillip Hamrick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201884
2 201552
3 201544
4 196727
5 196722
6 195922
7 201420
8 195920
9
Implicit and explicit knowledge of form-meaning connections:evidence from subjective measures of awareness
201317
10 196216
11 201715
12 197613
13 198213
14 197011
15
Frequency effects, learning conditions, and the development of implicit and explicit lexical knowledge
201410
16 20219
17 20219
18 20199
19 19739
20 19609

About Phillip Hamrick

Phillip Hamrick is a scholar working on Developmental and Educational Psychology, Organic Chemistry, Cognitive Neuroscience, Biophysics and Physical and Theoretical Chemistry, having authored 50 papers that have together received 537 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (11 papers), Electron Spin Resonance Studies (9 papers), Reading and Literacy Development (7 papers), Second Language Acquisition and Learning (5 papers), Memory Processes and Influences (5 papers), Photochemistry and Electron Transfer Studies (5 papers), Language Development and Disorders (4 papers) and Chemical Reaction Mechanisms (4 papers). The work is most often cited by research in Developmental and Educational Psychology (223 citations), Biophysics (66 citations), Language and Linguistics (110 citations), Cognitive Neuroscience (171 citations) and Physical and Theoretical Chemistry (43 citations). Phillip Hamrick has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Howard Shields, Charles R. Hauser, Michael T. Ullman, Jarrad A. G. Lum, Rebecca Sachs, Patrick Rebuschat, Nicole Ziegler, Christopher A. Was, John Gunstad and Y. Haven. Their work appears in journals such as The Journal of Chemical Physics, Journal of the American Chemical Society, The Journal of Organic Chemistry, Studies in Second Language Acquisition and Radiation Research.

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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