Quantum-Chemical Descriptors in QSAR/QSPR Studies

1.3k indexed citations
published 1996

Countries where authors are citing Quantum-Chemical Descriptors in QSAR/QSPR Studies

Specialization
Citations

This map shows the geographic impact of Quantum-Chemical Descriptors in QSAR/QSPR Studies. 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-Chemical Descriptors in QSAR/QSPR Studies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quantum-Chemical Descriptors in QSAR/QSPR Studies more than expected).

Fields of papers citing Quantum-Chemical Descriptors in QSAR/QSPR Studies

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Quantum-Chemical Descriptors in QSAR/QSPR Studies. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Quantum-Chemical Descriptors in QSAR/QSPR Studies.

About Quantum-Chemical Descriptors in QSAR/QSPR Studies

This paper, published in 1996, received 1.3k indexed citations . Written by Mati Karelson, Victor S. Lobanov and Alan R. Katritzky covering the research area of Materials Chemistry, Computational Theory and Mathematics and Analytical Chemistry. It is primarily cited by scholars working on Computational Theory and Mathematics (623 citations), Organic Chemistry (526 citations) and Materials Chemistry (292 citations). Published in Chemical Reviews.

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/10.1021/cr950202r.

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