Gondy Leroy

115 papers receiving 1.7k citations

Peers

Gondy Leroy
Comparison fields: 5 of 135
  • Artificial Intelligence 839
  • General Health Professions 352
  • Molecular Biology 331
  • Sociology and Political Science 296
  • Information Systems 257
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Citations per field
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Citations per year

Countries citing papers authored by Gondy Leroy

Since Specialization
Citations

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

Fields of papers citing papers by Gondy Leroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gondy Leroy

This figure shows the co-authorship network connecting the top 25 collaborators of Gondy Leroy. A scholar is included among the top collaborators of Gondy Leroy 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 Gondy Leroy. Gondy Leroy 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 1
3 0
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5 25
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7 17
8 1
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Large-scale analysis of free-text data for mental health surveillance with topic modelling
1
10
Mechanisms for automatic training data labeling for machine learning
3
11 18
12
Grammar frequency and simplification: when intuition fails.
1
13
Sharing Knowledge to A Knowledge Management System: Examining the motivators and the benefits in an Omani organization
46
14 49
15 27
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Making primarily professional terms more comprehensible to the lay audience.
3
17
An Integrated Social Actor and Service Oriented Architecture (SOA) Approach for Improved Electronic Health Record (EHR) Privacy and Confidentiality in the US National Healthcare Information Network (NHIN)
3
18
Predicting Crime Reporting with Decision Trees and the National Crime Victimization Survey
1
19
Genescene: An ontology-enhanced integration of linguistic and co-occurrence based relations in biomedical texts: Research Articles
9
20
Communication software using pictures for use with Pocket PCs.
1

About Gondy Leroy

Gondy Leroy is a scholar working on Artificial Intelligence, Health Information Management and Human Factors and Ergonomics, having authored 122 papers that have together received 1.8k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (32 papers), Topic Modeling (30 papers) and Text Readability and Simplification (30 papers). The work is most often cited by research in Artificial Intelligence (839 citations), Communication (175 citations) and Computer Science Applications (93 citations). Gondy Leroy has collaborated with scholars based in United States, United Kingdom and Oman. Frequent co-authors include Alicia Iriberri, David Kauchak, Chih‐Hao Ku, James E. Endicott, Hsinchun Chen, Catherine Arnott Smith, Gianluca De Leo, Hsinchun Chen, Thomas C. Rindflesch and Jesse D. Martinez. Their work appears in journals such as Clinical Infectious Diseases, Expert Systems with Applications and ACM Computing Surveys.

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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