United Nations Office on Drugs and Crime
Impact in
- Modeling and Simulation top 10%
- Fractional Differential Equations Solutions
Papers in
- Toxicology 16
-
- Fractional Differential Equations Solutions 17
- Top scholars
- H. J. HauboldA. M. MathaiR. K. SaxenaPaul E. BellairMichael MassogliaGilberto GerraPayam AkhavanAlex P. Schmid
- Journals
- International Journal of Drug Policy (15 papers)International Journal of Environmental Research and Public Health (9 papers)Space Policy (6 papers)Criminology (6 papers)Physica A Statistical Mechanics and its Applications (5 papers)
- Partner nations
- AustriaUnited StatesCanada
In The Last Decade
United Nations Office on Drugs and Crime
297 papers receiving 7.4k citations
Peers
Comparison fields: 5 of 219
- Modeling and Simulation 1.1k
- Anesthesiology and Pain Medicine 394
- Toxicology 269
- Numerical Analysis 360
- Health 410
Countries citing scholars working at United Nations Office on Drugs and Crime
This map shows the geographic impact of research produced by authors working at United Nations Office on Drugs and Crime. 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 papers produced at United Nations Office on Drugs and Crime with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites United Nations Office on Drugs and Crime more than expected).
Fields of papers published by authors at United Nations Office on Drugs and Crime
This network shows the impact of papers affiliated with United Nations Office on Drugs and Crime at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with United Nations Office on Drugs and Crime at the time of their publication.
About United Nations Office on Drugs and Crime
In recent decades, authors affiliated with United Nations Office on Drugs and Crime have published 371 papers, which have received a total of 8.6k indexed citations . Scholars at this organization have produced 16 papers in Toxicology, 18 papers in Modeling and Simulation, 42 papers in Clinical Psychology, 26 papers in Statistical and Nonlinear Physics and 73 papers in Sociology and Political Science on the topics of HIV, Drug Use, Sexual Risk (29 papers), Substance Abuse Treatment and Outcomes (26 papers), Statistical Mechanics and Entropy (26 papers), Crime, Illicit Activities, and Governance (24 papers), Child and Adolescent Psychosocial and Emotional Development (18 papers), Opioid Use Disorder Treatment (18 papers), Space exploration and regulation (18 papers) and Fractional Differential Equations Solutions (17 papers). Their work is cited by papers focused on Modeling and Simulation (1.1k citations), Anesthesiology and Pain Medicine (394 citations), Toxicology (269 citations), Numerical Analysis (360 citations) and Health (410 citations). Authors at United Nations Office on Drugs and Crime collaborate with scholars in Austria, United States and Canada and have published in prestigious journals including International Journal of Drug Policy, International Journal of Environmental Research and Public Health, Space Policy, Criminology and Physica A Statistical Mechanics and its Applications. Some of United Nations Office on Drugs and Crime's most productive authors include H. J. Haubold, A. M. Mathai, R. K. Saxena, Paul E. Bellair, Michael Massoglia, Gilberto Gerra, Payam Akhavan, Alex P. Schmid, Mark C. Stafford and Omer R. Galle.
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.