Mathematical Programming
About
The 4.9k papers published in Mathematical Programming in the last decades have received a total of 204.4k indexed citations.
Papers published in Mathematical Programming usually cover Computational Theory and Mathematics (2.9k papers), Numerical Analysis (2.3k papers) and Computational Mechanics (798 papers) specifically the topics of Advanced Optimization Algorithms Research (2.3k papers), Optimization and Variational Analysis (1.3k papers) and Sparse and Compressive Sensing Techniques (677 papers). The most active scholars publishing in Mathematical Programming are Jorge Nocedal, Andreas Wächter, Lorenz T. Biegler, Yu. Nesterov, M. J. D. Powell, Cheng‐Di Dong, Jong‐Shi Pang, Jorge J. Morè, Arkadi Nemirovski and Dimitri P. Bertsekas.
In The Last Decade
Fields of papers published in Mathematical Programming
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers published in Mathematical Programming. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Mathematical Programming
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Mathematical Programming. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers published in Mathematical Programming with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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