Faster sequential genetic linkage computations.

1.1k indexed citations
published 1993
Authors
Robert W. CottinghamRamana M. IduryAlejandro A. Schäffer
Journal
PubMed

In The Last Decade

doi.org/w50177366 →

Countries where authors are citing Faster sequential genetic linkage computations.

Specialization
Citations

This map shows the geographic impact of Faster sequential genetic linkage computations.. 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 Faster sequential genetic linkage computations. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faster sequential genetic linkage computations. more than expected).

Fields of papers citing Faster sequential genetic linkage computations.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Faster sequential genetic linkage computations.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Faster sequential genetic linkage computations..

About Faster sequential genetic linkage computations.

This paper, published in 1993, received 1.1k indexed citations . Written by Robert W. Cottingham, Ramana M. Idury and Alejandro A. Schäffer covering the research area of Genetics, Artificial Intelligence and Surgery. It is primarily cited by scholars working on Molecular Biology (522 citations), Genetics (465 citations), Cellular and Molecular Neuroscience (151 citations), Neurology (94 citations) and Cell Biology (89 citations). Published in PubMed.

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/w50177366.

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