Roland J. Liebert

15 total papers · 435 total citations
12 papers, 289 citations indexed

About

Roland J. Liebert is a scholar working on Education, Statistics, Probability and Uncertainty and Political Science and International Relations. According to data from OpenAlex, Roland J. Liebert has authored 12 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Education, 2 papers in Statistics, Probability and Uncertainty and 1 paper in Political Science and International Relations. Recurrent topics in Roland J. Liebert's work include Higher Education Research Studies (3 papers), Innovations in Educational Methods (2 papers) and scientometrics and bibliometrics research (2 papers). Roland J. Liebert is often cited by papers focused on Higher Education Research Studies (3 papers), Innovations in Educational Methods (2 papers) and scientometrics and bibliometrics research (2 papers). Roland J. Liebert collaborates with scholars based in . Roland J. Liebert's co-authors include Susan Welch, Albert K. Karnig, Garry D. Brewer, Allen W. Imershein, Warner Bloomberg, John R. Kramer, Alan E. Bayer, Michael D. Grimes and Anthony King and has published in prestigious journals such as Contemporary Sociology A Journal of Reviews, American Journal of Sociology and Social Forces.

In The Last Decade

Roland J. Liebert

11 papers receiving 228 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Roland J. Liebert 129 98 60 50 35 12 289
Isabelle Bruno 117 0.9× 114 1.2× 15 0.3× 32 0.6× 21 0.6× 21 254
Verónica Montecinos 155 1.2× 123 1.3× 18 0.3× 68 1.4× 21 0.6× 17 302
Harold F. Gosnell 146 1.1× 83 0.8× 23 0.4× 24 0.5× 19 0.5× 12 207
Richard W. Judy 55 0.4× 64 0.7× 40 0.7× 48 1.0× 42 1.2× 10 272
Rufus P. Browning 169 1.3× 183 1.9× 46 0.8× 17 0.3× 20 0.6× 14 300
Pak Wai Liu 81 0.6× 162 1.7× 69 1.1× 76 1.5× 31 0.9× 12 292
Robert S. Friedman 159 1.2× 96 1.0× 15 0.3× 34 0.7× 23 0.7× 20 305
Jacob Fowles 80 0.6× 47 0.5× 16 0.3× 51 1.0× 132 3.8× 19 285
Alistair McMillan 170 1.3× 105 1.1× 19 0.3× 78 1.6× 12 0.3× 15 316
Nikolaj Harmon 124 1.0× 164 1.7× 30 0.5× 85 1.7× 8 0.2× 11 293

Countries citing papers authored by Roland J. Liebert

Since Specialization
Citations

This map shows the geographic impact of Roland J. Liebert's research. 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 Roland J. Liebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roland J. Liebert more than expected).

Fields of papers citing papers by Roland J. Liebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roland J. Liebert. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Roland J. Liebert. The network helps show where Roland J. Liebert may publish in the future.

Co-authorship network of co-authors of Roland J. Liebert

This figure shows the co-authorship network connecting the top 25 collaborators of Roland J. Liebert. A scholar is included among the top collaborators of Roland J. Liebert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roland J. Liebert. Roland J. Liebert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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