Daniela K. Nitcheva

568 citations
19 papers · 487 · h-index 10

Impact in

Papers in

    • Statistical Methods and Bayesian Inference 5
    • Statistical Methods in Epidemiology 4
    • Statistical Methods in Clinical Trials 3
    • Carcinogens and Genotoxicity Assessment 3

Daniela K. Nitcheva

18 papers receiving 463 citations

Peers

Daniela K. Nitcheva
Comparison fields: 5 of 73
  • Statistics and Probability 69
  • Public Health, Environmental and Occupational Health 152
  • Cancer Research 43
  • Pathology and Forensic Medicine 42
  • Biochemistry 16
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Citations per field
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Citations per year

Countries citing papers authored by Daniela K. Nitcheva

Since Specialization
Citations

This map shows the geographic impact of Daniela K. 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 K. 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 K. Nitcheva more than expected).

Fields of papers citing papers by Daniela K. Nitcheva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela K. 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 K. Nitcheva. The network helps show where Daniela K. Nitcheva may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Increases in heroin overdose deaths - 28 States, 2010 to 2012.
2014179
2 200969
3 200336
4 200736
5 200528
6 200423
7 200522
8 200720
9 200617
10 201614
11 20078
12 20088
13 20057
14 20147
15 20187
16 20033
17 20062
18 20101
19
A System for Simulation and Estimation of Branching Processes
20000

About Daniela K. Nitcheva

Daniela K. Nitcheva is a scholar working on Statistics and Probability, Cancer Research, Pathology and Forensic Medicine, General Health Professions and Oncology, having authored 19 papers that have together received 487 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (5 papers), Statistical Methods in Epidemiology (4 papers), Carcinogens and Genotoxicity Assessment (3 papers), Statistical Methods in Clinical Trials (3 papers), Maternal and Neonatal Healthcare (2 papers), Tea Polyphenols and Effects (2 papers), Lymphatic System and Diseases (1 paper) and Stochastic processes and statistical mechanics (1 paper). The work is most often cited by research in Statistics and Probability (69 citations), Public Health, Environmental and Occupational Health (152 citations), Cancer Research (43 citations), Pathology and Forensic Medicine (42 citations) and Biochemistry (16 citations). Daniela K. Nitcheva has collaborated with scholars based in United States and Oman. Frequent co-authors include Walter W. Piegorsch, R. Webster West, Ala Issa, Suresh R. Volate, Stephanie J. Muga, Theresa J. Smith, Michael J. Wargovich, James R. Hébert, Ralph L. Kodell and Joan E. Cunningham. Their work appears in journals such as Carcinogenesis, Biometrics, Maternal and Child Health Journal, Journal of Women s Health and Canadian Journal of Statistics.

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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