Daniela Nitcheva
Impact in
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
Papers in
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- Optimal Experimental Design Methods 4
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- Carcinogens and Genotoxicity Assessment 3
- Co-authors
- Walter W. Piegorsch (6 shared papers)R. Webster West (5 shared papers)Stephanie J. Muga (2 shared papers)Theresa J. Smith (2 shared papers)Michael J. Wargovich (2 shared papers)Suresh R. Volate (2 shared papers)Ala Issa (2 shared papers)Ralph L. Kodell (1 shared paper)
- Journals
- Maternal and Child Health Journal (2 papers)Carcinogenesis (2 papers)Biometrics (2 papers)Cancer (1 paper)Molecular Carcinogenesis (1 paper)
- Partner nations
- United StatesOman
In The Last Decade
Daniela Nitcheva
17 papers receiving 273 citations
Peers
Comparison fields: 5 of 76
- Statistics and Probability 52
- Applied Microbiology and Biotechnology 11
- Cancer Research 59
- Management Science and Operations Research 37
- Statistics, Probability and Uncertainty 18
Countries citing papers authored by Daniela Nitcheva
This map shows the geographic impact of Daniela Nitcheva'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 Daniela Nitcheva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Nitcheva more than expected).
Fields of papers citing papers by Daniela Nitcheva
This network shows the impact of papers produced by Daniela Nitcheva. 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 Daniela Nitcheva. The network helps show where Daniela Nitcheva may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Nitcheva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 55 | |
| 2 | 2007 | 34 | |
| 3 | 2003 | 34 | |
| 4 | 2005 | 25 | |
| 5 | 2004 | 25 | |
| 6 | 2005 | 22 | |
| 7 | 2007 | 18 | |
| 8 | 2006 | 16 | |
| 9 | 2016 | 13 | |
| 10 | 2007 | 10 | |
| 11 | 2008 | 9 | |
| 12 | 2014 | 7 | |
| 13 | 2005 | 6 | |
| 14 | 2018 | 5 | |
| 15 | 2003 | 2 | |
| 16 | 2006 | 2 | |
| 17 | 2010 | 1 |
About Daniela Nitcheva
Daniela Nitcheva is a scholar working on Management Science and Operations Research, Cancer Research, Pathology and Forensic Medicine, Oncology and Food Science, having authored 17 papers that have together received 284 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (4 papers), Pesticide Residue Analysis and Safety (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Tea Polyphenols and Effects (2 papers), Probabilistic and Robust Engineering Design (2 papers), Phytoestrogen effects and research (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Statistics and Probability (52 citations), Applied Microbiology and Biotechnology (11 citations), Cancer Research (59 citations), Management Science and Operations Research (37 citations) and Statistics, Probability and Uncertainty (18 citations). Daniela Nitcheva has collaborated with scholars based in United States and Oman. Frequent co-authors include Walter W. Piegorsch, R. Webster West, Stephanie J. Muga, Theresa J. Smith, Michael J. Wargovich, Suresh R. Volate, Ala Issa, Ralph L. Kodell, Joan E. Cunningham and James R. Hébert. Their work appears in journals such as Maternal and Child Health Journal, Carcinogenesis, Biometrics, Cancer and Molecular Carcinogenesis.
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.