Haim Bar
Impact in
- Environmental Engineering top 10%
- Microbial Fuel Cells and Bioremediation
Papers in
-
- Gene expression and cancer classification 7
- RNA and protein synthesis mechanisms 6
- Bioinformatics and Genomic Networks 4
- Gut microbiota and health 2
-
- Statistical Methods and Inference 6
- Statistical Methods and Bayesian Inference 6
- Advanced Causal Inference Techniques 3
- Co-authors
- James G. Booth (8 shared papers)Chava Kimchi‐Sarfaty (11 shared papers)Elad Tako (3 shared papers)Miriam A. Rosenbaum (2 shared papers)Martin T. Wells (9 shared papers)Largus T. Angenent (2 shared papers)Qasim Khalil Beg (2 shared papers)Daniel Segrè (2 shared papers)
- Journals
- PLoS ONE (4 papers)Statistical Modelling (2 papers)Journal of the European Academy of Dermatology and Venereology (2 papers)Current Developments in Nutrition (2 papers)Journal of the American Statistical Association (2 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Haim Bar
56 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 141
- Environmental Engineering 120
- Biological Psychiatry 16
- Obstetrics and Gynecology 43
- Molecular Biology 418
- Periodontics 23
Countries citing papers authored by Haim Bar
This map shows the geographic impact of Haim Bar'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 Haim Bar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haim Bar more than expected).
Fields of papers citing papers by Haim Bar
This network shows the impact of papers produced by Haim Bar. 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 Haim Bar. The network helps show where Haim Bar may publish in the future.
Co-authors
The 25 scholars most cited alongside Haim Bar, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 102 | |
| 2 | 2019 | 98 | |
| 3 | 2010 | 77 | |
| 4 | 2012 | 75 | |
| 5 | 2012 | 56 | |
| 6 | 2016 | 52 | |
| 7 | 2014 | 48 | |
| 8 | 2016 | 47 | |
| 9 | 2016 | 46 | |
| 10 | 2010 | 42 | |
| 11 | 2019 | 41 | |
| 12 | 2016 | 32 | |
| 13 | 2020 | 30 | |
| 14 | 2016 | 29 | |
| 15 | 2012 | 28 | |
| 16 | 2008 | 22 | |
| 17 | 2020 | 21 | |
| 18 | Chronic functional gastrointestinal symptoms in Holocaust survivors. | 1991 | 21 |
| 19 | 2014 | 19 | |
| 20 | 2017 | 19 |
About Haim Bar
Haim Bar is a scholar working on Molecular Biology, Statistics and Probability, Artificial Intelligence, Plant Science and Pathology and Forensic Medicine, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (6 papers), RNA and protein synthesis mechanisms (6 papers), Bioinformatics and Genomic Networks (4 papers), Advanced Causal Inference Techniques (3 papers), Substance Abuse Treatment and Outcomes (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Environmental Engineering (120 citations), Biological Psychiatry (16 citations), Obstetrics and Gynecology (43 citations), Molecular Biology (418 citations) and Periodontics (23 citations). Haim Bar has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include James G. Booth, Chava Kimchi‐Sarfaty, Elad Tako, Miriam A. Rosenbaum, Martin T. Wells, Largus T. Angenent, Qasim Khalil Beg, Daniel Segrè, Michael A. Cotta and Anton A. Komar. Their work appears in journals such as PLoS ONE, Statistical Modelling, Journal of the European Academy of Dermatology and Venereology, Current Developments in Nutrition and Journal of the American Statistical Association.
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.