Quantum Ito's formula and stochastic evolutions

675 indexed citations
published 1984

Countries where authors are citing Quantum Ito's formula and stochastic evolutions

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Citations

This map shows the geographic impact of Quantum Ito's formula and stochastic evolutions. 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 Quantum Ito's formula and stochastic evolutions with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quantum Ito's formula and stochastic evolutions more than expected).

Fields of papers citing Quantum Ito's formula and stochastic evolutions

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Quantum Ito's formula and stochastic evolutions. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Quantum Ito's formula and stochastic evolutions.

About Quantum Ito's formula and stochastic evolutions

This paper, published in 1984, received 675 indexed citations . Written by R. L. Hudson and K. R. Parthasarathy covering the research area of Mathematical Physics, Statistics and Probability and Artificial Intelligence. It is primarily cited by scholars working on Atomic and Molecular Physics, and Optics (487 citations), Artificial Intelligence (457 citations) and Statistical and Nonlinear Physics (160 citations). Published in Communications in Mathematical Physics.

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.

This paper is also available at doi.org/10.1007/bf01258530.

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