Natalie Parde

596 citations
49 papers · 311 · h-index 12

Impact in

Papers in

Natalie Parde

43 papers receiving 301 citations

Peers

Natalie Parde
Comparison fields: 5 of 72
  • Health Informatics 8
  • Artificial Intelligence 160
  • Applied Psychology 16
  • Experimental and Cognitive Psychology 29
  • Occupational Therapy 8
Replace Francesca Fracasso with:
Francesca Fracasso Italy
Zeyad A. T. Ahmed India
Himalaya Patel United States
Ameneh Shamekhi United States
Sara Basson United States
Marina Sardà Gou United Kingdom
Ethel Ong Philippines
Raquel Oliveira Portugal
Dagoberto Cruz‐Sandoval Mexico
Florian Pécune France
Natalie Parde relative to Francesca Fracasso Italy Francesca Fracasso's profile →
Citations per field
00.5×3.5×
Francesca Fracasso · 1×
Citations per year

Countries citing papers authored by Natalie Parde

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Parde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202145
2 201729
3 202221
4 202016
5 202114
6
Grounding the meaning of words through vision and interactive gameplay
201513
7 201813
8 202313
9 202312
10 202211
11 201711
12 202311
13
Modeling Dialogue in Conversational Cognitive Health Screening Interviews.
20209
14 20239
15 20187
16 20187
17 20137
18 20236
19 20226
20 20135

About Natalie Parde

Natalie Parde is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Social Psychology, Experimental and Cognitive Psychology and Psychiatry and Mental health, having authored 49 papers that have together received 311 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Speech and dialogue systems (6 papers), Natural Language Processing Techniques (6 papers), Multimodal Machine Learning Applications (6 papers), Language, Metaphor, and Cognition (5 papers), Mental Health via Writing (4 papers), AI in Service Interactions (3 papers) and Cerebral Palsy and Movement Disorders (3 papers). The work is most often cited by research in Health Informatics (8 citations), Artificial Intelligence (160 citations), Applied Psychology (16 citations), Experimental and Cognitive Psychology (29 citations) and Occupational Therapy (8 citations). Natalie Parde has collaborated with scholars based in United States, Canada and Greece. Frequent co-authors include Rodney D. Nielsen, Mary A. Khetani, Hassan Takabi, Cornelia Caragea, Debaleena Chattopadhyay, Vangelis Karkaletsis, Andrew D. Boyd, Michalis Papakostas, Konstantinos Tsiakas and Liisa Holsti. Their work appears in journals such as Language Resources and Evaluation, Journal of Medical Internet Research, Academic Emergency Medicine, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Applied Ergonomics.

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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