Ana Niño

11 papers receiving 289 citations

Peers

Ana Niño
Comparison fields: 5 of 54
  • Artificial Intelligence 166
  • Language and Linguistics 148
  • Developmental and Educational Psychology 74
  • Literature and Literary Theory 58
  • Education 42
Replace Geoffrey T. LaFlair with:
Geoffrey T. LaFlair United States
Anita Ferreira Cabrera Chile
Kanglong Liu Hong Kong
Vilson J. Leffa Brazil
Lianzhen He China
Ana Frankenberg‐Garcia United Kingdom
Tiziana Miceli Australia
Lee B. Abraham United States
Marie‐Madeleine Kenning United Kingdom
Wenhua Hsu Taiwan
Ana Niño relative to Geoffrey T. LaFlair United States Geoffrey T. LaFlair's profile →
Citations per field
00.5×3.8×
Geoffrey T. LaFlair · 1×
Citations per year

Countries citing papers authored by Ana Niño

Since Specialization
Citations

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

Fields of papers citing papers by Ana Niño

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana Niño

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 49
3 19
4 9
5 125
6 1
7 65
8 1
9
Detecting Inappropriate Use of Free Online Machine Translation by Language Students. A Special Case of Plagiarism Detection.
31
10
Mycophenolate mofetil induced myopathy in a patient with lupus nephritis.
12
11
Recycling MT: A Course on Foreign Language Writing via MT post-editing.
8
12
MT post-editing as a challenge to promote grammar accuracy and to enhance foreign language written production
1

About Ana Niño

Ana Niño is a scholar working on Language and Linguistics, Artificial Intelligence and Developmental and Educational Psychology, having authored 12 papers that have together received 321 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Translation Studies and Practices (3 papers) and Second Language Acquisition and Learning (2 papers). The work is most often cited by research in Language and Linguistics (148 citations), Developmental and Educational Psychology (74 citations) and Literature and Literary Theory (58 citations). Ana Niño has collaborated with scholars based in United Kingdom and Spain. Frequent co-authors include Federico Gaspari, Harold Somers, Ignacio Mahíllo, Rosa Guerrero, María José Sainz, Estrella Gómez‐Tortosa, Beatriz Joven, José Ramón Ricoy, Ana Cabello and María Galindo-Izquierdo. Their work appears in journals such as American Journal of Geriatric Psychiatry, Computer Assisted Language Learning and ReCALL.

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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