Gregory M. Shreve

18 papers receiving 252 citations

Peers

Gregory M. Shreve
Comparison fields: 5 of 63
  • Language and Linguistics 188
  • Artificial Intelligence 122
  • General Health Professions 72
  • Experimental and Cognitive Psychology 47
  • Literature and Literary Theory 31
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Countries citing papers authored by Gregory M. Shreve

Since Specialization
Citations

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

Fields of papers citing papers by Gregory M. Shreve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory M. Shreve. 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 Gregory M. Shreve. The network helps show where Gregory M. Shreve may publish in the future.

Co-authorship network of co-authors of Gregory M. Shreve

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory M. Shreve. A scholar is included among the top collaborators of Gregory M. Shreve 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 Gregory M. Shreve. Gregory M. Shreve is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2
Cognitive neurosciences and cognitive translation studies
0
3 8
4 2
5
Average Pause Ratio as an Indicator of Cognitive Effort in Post-Editing: A Case Study
35
6 1
7
Sight translation and speech disfluency: Performance analysis as a window to cognitive translation processes
10
8 2
9
An ethnographic study of the use of translation tools in a translation agency: implications for translation tool design
5
10
Neural and physiological correlates of translation and interpreting in the bilingual brain: Recent perspectives
6
11
Translation and cognition: Recent developments
8
12 1
13 1
14
Integrating resource metadata and domain markup in an NSDL collection
8
15 33
16 30
17
Translation as Text
123
18
A procedural analysis of argumentative political texts. Case studies from "The Economist"
1
19
Form and genre in African folklore classification: a semiotic perspective
1
20 0

About Gregory M. Shreve

Gregory M. Shreve is a scholar working on Language and Linguistics, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 23 papers that have together received 313 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Translation Studies and Practices (4 papers) and Topic Modeling (3 papers). The work is most often cited by research in Language and Linguistics (188 citations), Artificial Intelligence (122 citations) and Experimental and Cognitive Psychology (47 citations). Gregory M. Shreve has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Albrecht Neubert, Erik Angelone, Isabel Lacruz, Bruce J. Diamond, Joseph H. Danks, Christina Schäffner, Mark V. Johnston, Marcia Lei Zeng, V. K. Tewary and Adam Powell. Their work appears in journals such as Neurorehabilitation, Journal of American Folklore and Meta Journal des traducteurs.

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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