Liz Murphy

1.3k citations
28 papers · 984 · h-index 16

Impact in

Papers in

Liz Murphy

27 papers receiving 821 citations

Peers

Liz Murphy
Comparison fields: 5 of 55
  • Language and Linguistics 588
  • Literature and Literary Theory 470
  • Developmental and Educational Psychology 349
  • Education 454
  • Computer Vision and Pattern Recognition 184
Replace Sung‐Yeon Kim with:
Sung‐Yeon Kim South Korea
Ivana Kruijff‐Korbayová Germany
Wing‐Kwong Wong Taiwan
Hongwei Jia China
Igor Pandžić Switzerland
Amaury Aubel Switzerland
Chun-Chia Hsu Taiwan
José Lopes United Kingdom
Mario Montagud Spain
John Lasseter
Liz Murphy relative to Sung‐Yeon Kim South Korea Sung‐Yeon Kim's profile →
Citations per field
00.5×11×
Sung‐Yeon Kim · 1×
Citations per year

Countries citing papers authored by Liz Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Liz Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Liz Murphy, 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 Liz Murphy Line = papers co-authored together Liz Murphy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007156
2 2009110
3 199990
4 200687
5 200182
6 200279
7 201060
8 200959
9 200059
10 200729
11 201422
12 201221
13 200819
14 201116
15 200115
16 201315
17 201014
18 201213
19 201012
20 20149

About Liz Murphy

Liz Murphy is a scholar working on Language and Linguistics, Literature and Literary Theory, Computer Vision and Pattern Recognition, Aerospace Engineering and Education, having authored 28 papers that have together received 984 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (12 papers), Writing and Handwriting Education (9 papers), Robotics and Sensor-Based Localization (9 papers), Robotic Path Planning Algorithms (7 papers), Discourse Analysis in Language Studies (7 papers), Second Language Acquisition and Learning (4 papers), Second Language Learning and Teaching (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Language and Linguistics (588 citations), Literature and Literary Theory (470 citations), Developmental and Educational Psychology (349 citations), Education (454 citations) and Computer Vision and Pattern Recognition (184 citations). Liz Murphy has collaborated with scholars based in Spain, Australia and United Kingdom. Frequent co-authors include Julio Roca de Larios, Rosa M. Manchón, Javier Marín, Paul Newman, Gabe Sibley, Peter Corke, Steven Martin, Mike Smith, Alastair Harrison and Mark Cummins. Their work appears in journals such as Journal of Second Language Writing, Springer tracts in advanced robotics, The International Journal of Robotics Research, Language Learning and Learning and Instruction.

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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