Diana Kelmansky
- Statistics and Probability top 10%
- Statistical Methods and Inference 4
- Advanced Statistical Methods and Models 3
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- Infant Development and Preterm Care 5
- Birth, Development, and Health 3
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- Probabilistic and Robust Engineering Design 2
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- Gene expression and cancer classification 4
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- Child Nutrition and Feeding Issues 3
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- Child Nutrition and Water Access 2
- Co-authors
- Horacio LejarragaLaura AciónStephan ArndtMark van der LaanEthan SahkerVíctor LeivaNoël CameronFabián Tibaldi
- Journals
- SHILAP Revista de lepidopterología (2 papers)Journal of the American Statistical Association (2 papers)PLoS ONE (1 paper)
- Partner nations
- ArgentinaChileUnited States
In The Last Decade
Diana Kelmansky
24 papers receiving 292 citations
Peers
Comparison fields: 5 of 93
- Statistics and Probability 43
- Health Informatics 6
- Pediatrics, Perinatology and Child Health 85
- Developmental and Educational Psychology 45
- Statistics, Probability and Uncertainty 21
Countries citing papers authored by Diana Kelmansky
This map shows the geographic impact of Diana Kelmansky'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 Diana Kelmansky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana Kelmansky more than expected).
Fields of papers citing papers by Diana Kelmansky
This network shows the impact of papers produced by Diana Kelmansky. 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 Diana Kelmansky. The network helps show where Diana Kelmansky may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Diana Kelmansky, 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 | 2018 | 2 | |
| 2 | 2018 | 1 | |
| 3 | 2018 | 2 | |
| 4 | 2017 | 91 | |
| 5 | 2017 | 2 | |
| 6 | 2015 | 1 | |
| 7 | Desarrollo psicomotor infantil en la Cuenca Matanza-Riachuelo: pesquisa de problemas inaparentes del desarrollo | 2014 | 9 |
| 8 | 2013 | 1 | |
| 9 | 2013 | 6 | |
| 10 | 2013 | 9 | |
| 11 | 2010 | 9 | |
| 12 | 2009 | 17 | |
| 13 | 2006 | 12 | |
| 14 | Edad de la pauta madurativa "mamá-papá específico", en una muestra de niños sanos | 2005 | 4 |
| 15 | 2004 | 16 | |
| 16 | 2002 | 58 | |
| 17 | Impacto del entrenamiento sobre el error de mediciones antropométricas | 2002 | 6 |
| 18 | 1999 | 13 | |
| 19 | 1997 | 10 | |
| 20 | 1991 | 7 |
About Diana Kelmansky
Diana Kelmansky is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Pediatrics, Perinatology and Child Health, having authored 25 papers that have together received 309 indexed citations. Recurring topics across this work include Infant Development and Preterm Care (5 papers), Statistical Methods and Inference (4 papers), Gene expression and cancer classification (4 papers), Child Nutrition and Feeding Issues (3 papers), Birth, Development, and Health (3 papers), Advanced Statistical Methods and Models (3 papers), Child Nutrition and Water Access (2 papers) and Probabilistic and Robust Engineering Design (2 papers). The work is most often cited by research in Statistics and Probability (43 citations), Health Informatics (6 citations) and Pediatrics, Perinatology and Child Health (85 citations). Diana Kelmansky has collaborated with scholars based in Argentina, Chile and United States. Frequent co-authors include Horacio Lejarraga, Laura Ación, Stephan Arndt, Mark van der Laan, Ethan Sahker, Víctor Leiva, Noël Cameron, Fabián Tibaldi, Elena Martínez‐Carballo and Ana M. Bianco. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.
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.