Elizabeth Burd

135 total papers · 1.0k total citations
45 papers, 574 citations indexed

About

Elizabeth Burd is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Elizabeth Burd has authored 45 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Information Systems, 17 papers in Software and 16 papers in Artificial Intelligence. Recurrent topics in Elizabeth Burd's work include Software Engineering Research (23 papers), Software Reliability and Analysis Research (15 papers) and Advanced Software Engineering Methodologies (14 papers). Elizabeth Burd is often cited by papers focused on Software Engineering Research (23 papers), Software Reliability and Analysis Research (15 papers) and Advanced Software Engineering Methodologies (14 papers). Elizabeth Burd collaborates with scholars based in United Kingdom, Australia and United States. Elizabeth Burd's co-authors include James R. Bailey, Malcolm Munro, Shamus P. Smith, Steve Higgins, Emma Mercier, Andrew Hatch, Sorel Reisman, Brian D. Hodgson, Cornelia Boldyreff and John Bailey and has published in prestigious journals such as IEEE Transactions on Software Engineering, International Journal of Human-Computer Studies and Information and Software Technology.

In The Last Decade

Elizabeth Burd

44 papers receiving 508 citations

Author Peers

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

Author Last Decade Papers Cites
Elizabeth Burd 334 160 135 96 89 45 574
Damiano Distante 398 1.2× 96 0.6× 167 1.2× 45 0.5× 96 1.1× 58 629
Windson Viana 171 0.5× 30 0.2× 95 0.7× 61 0.6× 103 1.2× 119 499
George R. S. Weir 309 0.9× 38 0.2× 214 1.6× 26 0.3× 85 1.0× 80 679
Chien‐Hung Liu 207 0.6× 160 1.0× 83 0.6× 180 1.9× 143 1.6× 41 606
Bill Manaris 136 0.4× 34 0.2× 152 1.1× 82 0.9× 24 0.3× 66 651
Michał Moskal 222 0.7× 156 1.0× 219 1.6× 21 0.2× 119 1.3× 46 666
Toby Jia-Jun Li 146 0.4× 40 0.3× 310 2.3× 43 0.4× 32 0.4× 60 678
Giuseppe Desolda 139 0.4× 136 0.8× 92 0.7× 20 0.2× 74 0.8× 59 661
Alberto Monge Roffarello 59 0.2× 126 0.8× 60 0.4× 40 0.4× 66 0.7× 38 571
Wilfred J. Hansen 161 0.5× 72 0.5× 165 1.2× 24 0.3× 89 1.0× 24 507

Countries citing papers authored by Elizabeth Burd

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Burd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Burd

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