Gil Alterovitz
Impact in
- Health Informatics top 5%
Papers in
-
- Bioinformatics and Genomic Networks 17
- Gene expression and cancer classification 15
- Machine Learning in Bioinformatics 8
- Gene Regulatory Network Analysis 7
- Biomedical Text Mining and Ontologies 6
- Co-authors
- Ning An (13 shared papers)Aiguo Wang (8 shared papers)Marco Ramoni (22 shared papers)Guilin Chen (6 shared papers)Jeremy L. Warner (14 shared papers)Lian Li (1 shared paper)Lian Li (5 shared papers)David Kreda (6 shared papers)
- Journals
- Journal of the American Medical Informatics Association (9 papers)Computers in Biology and Medicine (5 papers)BMC Bioinformatics (4 papers)Briefings in Bioinformatics (3 papers)Journal of Medical Internet Research (2 papers)
- Partner nations
- United StatesChinaCyprus
In The Last Decade
Gil Alterovitz
101 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 166
- Health Informatics 39
- Health Information Management 97
- Artificial Intelligence 318
- Periodontics 39
- Molecular Biology 620
Countries citing papers authored by Gil Alterovitz
This map shows the geographic impact of Gil Alterovitz'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 Gil Alterovitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gil Alterovitz more than expected).
Fields of papers citing papers by Gil Alterovitz
This network shows the impact of papers produced by Gil Alterovitz. 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 Gil Alterovitz. The network helps show where Gil Alterovitz may publish in the future.
Co-authors
The 25 scholars most cited alongside Gil Alterovitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 165 | |
| 2 | 2010 | 100 | |
| 3 | 2015 | 83 | |
| 4 | 2016 | 74 | |
| 5 | 2007 | 66 | |
| 6 | 2016 | 53 | |
| 7 | 2012 | 50 | |
| 8 | 2006 | 45 | |
| 9 | 2018 | 41 | |
| 10 | 2005 | 40 | |
| 11 | 2008 | 40 | |
| 12 | 2014 | 39 | |
| 13 | 2019 | 39 | |
| 14 | 2013 | 37 | |
| 15 | 2015 | 33 | |
| 16 | 2015 | 32 | |
| 17 | 2020 | 31 | |
| 18 | 2016 | 28 | |
| 19 | 2009 | 28 | |
| 20 | 2019 | 25 |
About Gil Alterovitz
Gil Alterovitz is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Oncology and Health Informatics, having authored 109 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (17 papers), Gene expression and cancer classification (15 papers), Machine Learning in Bioinformatics (8 papers), Artificial Intelligence in Healthcare and Education (7 papers), Gene Regulatory Network Analysis (7 papers), Biomedical Text Mining and Ontologies (6 papers), Genetic Associations and Epidemiology (5 papers) and Advanced Proteomics Techniques and Applications (5 papers). The work is most often cited by research in Health Informatics (39 citations), Health Information Management (97 citations), Artificial Intelligence (318 citations), Periodontics (39 citations) and Molecular Biology (620 citations). Gil Alterovitz has collaborated with scholars based in United States, China and Cyprus. Frequent co-authors include Ning An, Aiguo Wang, Marco Ramoni, Guilin Chen, Jeremy L. Warner, Lian Li, Lian Li, David Kreda, Michael Xiang and Jing Yang. Their work appears in journals such as Journal of the American Medical Informatics Association, Computers in Biology and Medicine, BMC Bioinformatics, Briefings in Bioinformatics 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.