Nedialko B. Dimitrov
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 6
- Ecological Modeling top 10%
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- Influenza Virus Research Studies 5
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- Optimization and Search Problems 3
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- Nuclear Issues and Defense 2
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- Bayesian Modeling and Causal Inference 2
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- Mosquito-borne diseases and control 2
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- Infrastructure Resilience and Vulnerability Analysis 2
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- Animal Disease Management and Epidemiology 2
- Co-authors
- Lauren Ancel MeyersNathaniel HupertBabak PourbohloulSamuel V. ScarpinoDavid P. MortonC. Greg PlaxtonSpencer J. FoxLauren Castro
- Journals
- PLoS ONE (3 papers)IEEE Transactions on Automatic Control (1 paper)European Journal of Operational Research (2 papers)
- Partner nations
- United StatesCanadaNew Zealand
In The Last Decade
Nedialko B. Dimitrov
24 papers receiving 303 citations
Peers
Comparison fields: 5 of 90
- Modeling and Simulation 92
- Ecological Modeling 32
- Management Science and Operations Research 35
- Infectious Diseases 49
- Epidemiology 78
Countries citing papers authored by Nedialko B. Dimitrov
This map shows the geographic impact of Nedialko B. Dimitrov'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 Nedialko B. Dimitrov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nedialko B. Dimitrov more than expected).
Fields of papers citing papers by Nedialko B. Dimitrov
This network shows the impact of papers produced by Nedialko B. Dimitrov. 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 Nedialko B. Dimitrov. The network helps show where Nedialko B. Dimitrov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nedialko B. Dimitrov, 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 | 2019 | 57 | |
| 2 | 2018 | 6 | |
| 3 | 2017 | 34 | |
| 4 | 2016 | 12 | |
| 5 | 2016 | 6 | |
| 6 | 2015 | 3 | |
| 7 | 2014 | 8 | |
| 8 | 2014 | 4 | |
| 9 | 2013 | 2 | |
| 10 | Differential equation models with stochastic thresholds | 2013 | 1 |
| 11 | 2012 | 34 | |
| 12 | 2012 | 1 | |
| 13 | 2011 | 42 | |
| 14 | 2011 | 17 | |
| 15 | 2011 | 4 | |
| 16 | 2011 | 7 | |
| 17 | 2010 | 16 | |
| 18 | 2009 | 11 | |
| 19 | 2009 | 3 | |
| 20 | 2009 | 23 |
About Nedialko B. Dimitrov
Nedialko B. Dimitrov is a scholar working on Modeling and Simulation, Management Science and Operations Research and Computer Networks and Communications, having authored 25 papers that have together received 316 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Influenza Virus Research Studies (5 papers), Optimization and Search Problems (3 papers), Nuclear Issues and Defense (2 papers), Bayesian Modeling and Causal Inference (2 papers), Mosquito-borne diseases and control (2 papers), Infrastructure Resilience and Vulnerability Analysis (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Modeling and Simulation (92 citations), Ecological Modeling (32 citations) and Management Science and Operations Research (35 citations). Nedialko B. Dimitrov has collaborated with scholars based in United States, Canada and New Zealand. Frequent co-authors include Lauren Ancel Meyers, Nathaniel Hupert, Babak Pourbohloul, Samuel V. Scarpino, David P. Morton, C. Greg Plaxton, Spencer J. Fox, Lauren Castro, Constantine Caramanis and Surya Santoso. Their work appears in journals such as PLoS ONE, IEEE Transactions on Automatic Control and European Journal of Operational 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.