Roma Patel

739 total citations
19 papers, 375 citations indexed

About

Roma Patel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Physiology. According to data from OpenAlex, Roma Patel has authored 19 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 2 papers in Physiology. Recurrent topics in Roma Patel's work include Natural Language Processing Techniques (9 papers), Multimodal Machine Learning Applications (7 papers) and Topic Modeling (5 papers). Roma Patel is often cited by papers focused on Natural Language Processing Techniques (9 papers), Multimodal Machine Learning Applications (7 papers) and Topic Modeling (5 papers). Roma Patel collaborates with scholars based in United States, United Kingdom and Chile. Roma Patel's co-authors include Peter Anderson, Jason Baldridge, Eugene Ie, Alexander Ku, Ellie Pavlick, Stefanie Tellex, Diego Garcia‐Huidobro, Carolyn M. Porta, Jonathan Miller and Michele Allen and has published in prestigious journals such as PEDIATRICS, Autonomous Robots and JMIR mhealth and uhealth.

In The Last Decade

Roma Patel

18 papers receiving 355 citations

Peers

Roma Patel
Comparison fields: 5 of 65
  • Artificial Intelligence 208
  • Computer Vision and Pattern Recognition 176
  • Clinical Psychology 46
  • General Health Professions 40
  • Epidemiology 24
Replace Emma Anderson with:
Emma Anderson United Kingdom
Patrick Lange United States
Martin Stolle Germany
Alexandra Klein United States
Ira Greenberg United States
William Van Woensel Canada
Hillol Sarker United States
Shiwali Mohan United States
Samantha Winter United States
Emma Anderson United Kingdom View profile →
Citations per field, relative to Roma Patel
Roma Patel · 1×
Citations per year, relative to Roma Patel
Roma Patel · 1×

Countries citing papers authored by Roma Patel

Since Specialization
Citations

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

Fields of papers citing papers by Roma Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roma Patel

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 8
3 4
4 4
5 5
6 1
7 9
8 13
9 128
10 15
11 32
12 7
13 44
14 9
15
Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling.
11
16 77
17 1
18 4
19 2

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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