Natalie Parde

596 citations
53 papers · 353 · h-index 12

Impact in

Papers in

Natalie Parde

48 papers receiving 342 citations

Peers

Natalie Parde
Comparison fields: 5 of 74
  • Health Informatics 8
  • Artificial Intelligence 190
  • Applied Psychology 16
  • Experimental and Cognitive Psychology 35
  • Occupational Therapy 8
Replace Zeyad A. T. Ahmed with:
Zeyad A. T. Ahmed India
Francesca Fracasso Italy
Izidor Mlakar Slovenia
Alexandros Papangelis United States
Matthias Kraus Germany
Himalaya Patel United States
Marina Sardà Gou United Kingdom
Dominik Schiller Germany
Tulika Saha India
Fabio Catania Italy
Natalie Parde relative to Zeyad A. T. Ahmed India Zeyad A. T. Ahmed's profile →
Citations per field
00.5×1.5×2.0×
Zeyad A. T. Ahmed · 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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202148
2 201740
3 202222
4 202018
5 201816
6 202314
7 202114
8
Grounding the meaning of words through vision and interactive gameplay
201513
9 202312
10 201712
11 202211
12 202311
13
Modeling Dialogue in Conversational Cognitive Health Screening Interviews.
20209
14 20239
15 20188
16 20188
17 20137
18 20227
19 20236
20 20226

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 53 papers that have together received 353 indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Multimodal Machine Learning Applications (8 papers), Speech and dialogue systems (6 papers), Natural Language Processing Techniques (6 papers), Language, Metaphor, and Cognition (5 papers), Mental Health via Writing (4 papers), AI in Service Interactions (4 papers) and Cerebral Palsy and Movement Disorders (3 papers). The work is most often cited by research in Health Informatics (8 citations), Artificial Intelligence (190 citations), Applied Psychology (16 citations), Experimental and Cognitive Psychology (35 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, Debaleena Chattopadhyay, Cornelia Caragea, Andrew D. Boyd, Michalis Papakostas, Konstantinos Tsiakas, Vangelis Karkaletsis and Julia Schmidt. Their work appears in journals such as Language Resources and Evaluation, JMIR mhealth and uhealth, ACM Transactions on Reconfigurable Technology and Systems, Journal of Medical Internet Research and The American Journal of Emergency Medicine.

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.

Explore authors with similar magnitude of impact