John E. Ortega

404 citations
23 papers · 205 · h-index 8

Impact in

Papers in

John E. Ortega

19 papers receiving 184 citations

Peers

John E. Ortega
Comparison fields: 5 of 41
  • Artificial Intelligence 165
  • Health Informatics 3
  • Computer Vision and Pattern Recognition 30
  • Political Science and International Relations 25
  • Language and Linguistics 10
Replace Imad Zeroual with:
Imad Zeroual Morocco
Daisuke Bekki Japan
Mihaela Vela Germany
Khalid Almubarak Saudi Arabia
Divyanshu Kakwani India
Zheng Yong United States
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Citations per field
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Citations per year

Countries citing papers authored by John E. Ortega

Since Specialization
Citations

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

Fields of papers citing papers by John E. Ortega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Ortega. 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 John E. Ortega. The network helps show where John E. Ortega may publish in the future.

Co-authors

The 25 scholars most cited alongside John E. Ortega, 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 John E. Ortega Line = papers co-authored together John E. Ortega links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202238
2 201829
3 202128
4 202026
5 202015
6
Using Morphemes from Agglutinative Languages like Quechua and Finnish to Aid in Low-Resource Translation
201811
7 202110
8 20228
9 20227
10
Fuzzy-match repair using black-box machine translation systems: what can be expected?
20165
11 20234
12 20204
13 20233
14 20143
15
A Comparison of Machine Translation Paradigms for Use in Black-Box Fuzzy-Match Repair.
20183
16 20173
17
Improving Translations by Combining Fuzzy-Match Repair with Automatic Post-Editing
20193
18 20232
19 20241
20 20241

About John E. Ortega

John E. Ortega is a scholar working on Artificial Intelligence, Political Science and International Relations, Law, Social Psychology and Sociology and Political Science, having authored 23 papers that have together received 205 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (15 papers), Text Readability and Simplification (4 papers), Algorithms and Data Compression (3 papers), Speech Recognition and Synthesis (3 papers), Judicial and Constitutional Studies (2 papers), Artificial Intelligence in Law (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Artificial Intelligence (165 citations), Health Informatics (3 citations), Computer Vision and Pattern Recognition (30 citations), Political Science and International Relations (25 citations) and Language and Linguistics (10 citations). John E. Ortega has collaborated with scholars based in United States, Spain and Uruguay. Frequent co-authors include Adam Meyers, Kyunghyun Cho, Krishnan Pillaipakkamnatt, Felipe Sánchez-Martínez, Katharina Kann, Alexis Palmer, Iván Meza, Mikel L. Forcada, Vishrav Chaudhary and Annette Rios. Their work appears in journals such as Machine Translation, Natural Language Engineering, IEEE Transactions on Pattern Analysis and Machine Intelligence, Frontiers in Artificial Intelligence and PubMed.

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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