Victoria Yaneva

40 papers receiving 555 citations

Peers

Victoria Yaneva
Comparison fields: 5 of 67
  • Cognitive Neuroscience 232
  • Artificial Intelligence 209
  • Education 141
  • Human-Computer Interaction 61
  • Genetics 55
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Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by Victoria Yaneva

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Yaneva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Yaneva

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Yaneva. A scholar is included among the top collaborators of Victoria Yaneva 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 Victoria Yaneva. Victoria Yaneva 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 1
2 0
3 2
4 28
5 4
6 25
7 7
8
Using linguistic features to predict the response process complexity associated with answering clinical MCQs
1
9 3
10
Predicting Item Survival for Multiple Choice Questions in a High-Stakes Medical Exam.
9
11 12
12 6
13 15
14 11
15 19
16
Evaluating the readability of text simplification output for readers with cognitive disabilities
12
17
A corpus of text data and gaze fixations from autistic and non-autistic adults
13
18
Six Good Predictors of Autistic Text Comprehension
5
19
Easy-read Documents as a Gold Standard for Evaluation of Text Simplification Output
12
20
Computational considerations of comparisons and similes
12

About Victoria Yaneva

Victoria Yaneva is a scholar working on Health Informatics, Human Factors and Ergonomics and Family Practice, having authored 42 papers that have together received 587 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (17 papers), Topic Modeling (14 papers) and Text Readability and Simplification (12 papers). The work is most often cited by research in Health Informatics (42 citations), Cognitive Neuroscience (232 citations) and Human Factors and Ergonomics (27 citations). Victoria Yaneva has collaborated with scholars based in United Kingdom, United States and Türkiye. Frequent co-authors include Le An Ha, Sukru Eraslan, Yeliz Yeşilada, Ruslan Mitkov, Simon Harper, Janet Mee, Brian E. Clauser, Matthias von Davier, Richard Evans and Vlad Niculae. Their work appears in journals such as Academic Medicine, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Biomedical Signal Processing and Control.

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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