Paige Rutner

35 total papers · 665 total citations
22 papers, 467 citations indexed

About

Paige Rutner is a scholar working on Management Information Systems, Organizational Behavior and Human Resource Management and Information Systems. According to data from OpenAlex, Paige Rutner has authored 22 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Information Systems, 7 papers in Organizational Behavior and Human Resource Management and 6 papers in Information Systems. Recurrent topics in Paige Rutner's work include Customer Service Quality and Loyalty (4 papers), Quality and Supply Management (4 papers) and Job Satisfaction and Organizational Behavior (4 papers). Paige Rutner is often cited by papers focused on Customer Service Quality and Loyalty (4 papers), Quality and Supply Management (4 papers) and Job Satisfaction and Organizational Behavior (4 papers). Paige Rutner collaborates with scholars based in United States and Finland. Paige Rutner's co-authors include Christopher A. Boone, Monique L. Ueltschy Murfield, Rodney Thomas, Cheryl L. Aasheim, Susan P. Williams, Susan Williams, Cynthia K. Riemenschneider, John N. Dyer, Tom Case and Lixin Li and has published in prestigious journals such as Journal of the Association for Information Systems, International Journal of Physical Distribution & Logistics Management and The International Journal of Logistics Management.

In The Last Decade

Paige Rutner

18 papers receiving 432 citations

Author Peers

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

Author Last Decade Papers Cites
Paige Rutner 159 128 124 75 69 22 467
Uzma Raja 172 1.1× 75 0.6× 90 0.7× 27 0.4× 51 0.7× 27 532
Linda Ellis Johnson 73 0.5× 89 0.7× 167 1.3× 61 0.8× 133 1.9× 13 542
Sushil S. Chaurasia 95 0.6× 55 0.4× 117 0.9× 103 1.4× 75 1.1× 27 425
Michael Newby 82 0.5× 134 1.0× 103 0.8× 163 2.2× 101 1.5× 19 550
Pratima Sheorey 110 0.7× 43 0.3× 155 1.3× 46 0.6× 126 1.8× 25 454
Harold Boeck 78 0.5× 59 0.5× 208 1.7× 137 1.8× 103 1.5× 27 544
Julie M. Hays 132 0.8× 208 1.6× 144 1.2× 60 0.8× 53 0.8× 15 472
Shan Wang 99 0.6× 59 0.5× 40 0.3× 106 1.4× 205 3.0× 44 489
B.S. Vijayaraman 139 0.9× 23 0.2× 161 1.3× 119 1.6× 68 1.0× 25 533
Rocco Agrifoglio 88 0.6× 62 0.5× 98 0.8× 112 1.5× 127 1.8× 26 536

Countries citing papers authored by Paige Rutner

Since Specialization
Citations

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

Fields of papers citing papers by Paige Rutner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paige Rutner. 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 Paige Rutner. The network helps show where Paige Rutner may publish in the future.

Co-authorship network of co-authors of Paige Rutner

This figure shows the co-authorship network connecting the top 25 collaborators of Paige Rutner. A scholar is included among the top collaborators of Paige Rutner 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 Paige Rutner. Paige Rutner 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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