Sergey Goryachev

31 papers receiving 1.4k citations

Peers

Sergey Goryachev
Comparison fields: 5 of 110
  • Health Information Management 140
  • Health Informatics 25
  • Artificial Intelligence 511
  • Issues, ethics and legal aspects 11
  • Molecular Biology 403
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Citations per year

Countries citing papers authored by Sergey Goryachev

Since Specialization
Citations

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

Fields of papers citing papers by Sergey Goryachev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006304
2 2010257
3 2011147
4 201568
5 201264
6 200757
7
Making texts in electronic health records comprehensible to consumers: a prototype translator.
200752
8 201249
9 201145
10 201644
11
A suite of natural language processing tools developed for the I2B2 project.
200642
12
Text characteristics of clinical reports and their implications for the readability of personal health records.
200740
13 201839
14 200839
15
Beyond surface characteristics: a new health text-specific readability measurement.
200738
16
Identification and extraction of family history information from clinical reports.
200836
17 202135
18 20149
19 20219
20 20219

About Sergey Goryachev

Sergey Goryachev is a scholar working on Artificial Intelligence, Molecular Biology, Oncology, General Health Professions and Health Information Management, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (6 papers), Topic Modeling (4 papers), Health Literacy and Information Accessibility (3 papers), Colorectal Cancer Screening and Detection (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Genomics and Rare Diseases (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Text Readability and Simplification (2 papers). The work is most often cited by research in Health Information Management (140 citations), Health Informatics (25 citations), Artificial Intelligence (511 citations), Issues, ethics and legal aspects (11 citations) and Molecular Biology (403 citations). Sergey Goryachev has collaborated with scholars based in United States, Australia and Chile. Frequent co-authors include Shawn N. Murphy, Qing Zeng‐Treitler, Qing Zeng, Margarita Sordo, Scott T. Weiss, Vivian S. Gainer, Ross Lazarus, Tianxi Cai, Isaac S. Kohane and Susanne Churchill. Their work appears in journals such as Journal of the American Medical Informatics Association, JCO Clinical Cancer Informatics, Digestive Diseases and Sciences, Gastroenterology and Journal of Medical Internet Research.

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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