Logit Models and Logistic Regressions for Social Networks: I. An Introduction to Markov Graphs and p
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doi.org/10.1007/bf02294547 →Countries where authors are citing Logit Models and Logistic Regressions for Social Networks: I. An Introduction to Markov Graphs and p
This map shows the geographic impact of Logit Models and Logistic Regressions for Social Networks: I. An Introduction to Markov Graphs and p. 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 Logit Models and Logistic Regressions for Social Networks: I. An Introduction to Markov Graphs and p with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Logit Models and Logistic Regressions for Social Networks: I. An Introduction to Markov Graphs and p more than expected).
Fields of papers citing Logit Models and Logistic Regressions for Social Networks: I. An Introduction to Markov Graphs and p
This network shows the impact of Logit Models and Logistic Regressions for Social Networks: I. An Introduction to Markov Graphs and p. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Logit Models and Logistic Regressions for Social Networks: I. An Introduction to Markov Graphs and p.
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/bf02294547.