Mikhaila Burgess

14 total papers · 452 total citations
6 papers, 291 citations indexed

About

Mikhaila Burgess is a scholar working on Information Systems and Management, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Mikhaila Burgess has authored 6 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems and Management, 3 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Mikhaila Burgess's work include Scientific Computing and Data Management (3 papers), Distributed and Parallel Computing Systems (3 papers) and Data Quality and Management (2 papers). Mikhaila Burgess is often cited by papers focused on Scientific Computing and Data Management (3 papers), Distributed and Parallel Computing Systems (3 papers) and Data Quality and Management (2 papers). Mikhaila Burgess collaborates with scholars based in United Kingdom. Mikhaila Burgess's co-authors include Chris Yesson, Tim Sutton, Frank A. Bisby, Richard J. White, Jaspreet Singh Pahwa, Andrew C. Jones, Neil Caithness, Peter W. Brewer, Alastair Culham and N. J. Fiddian and has published in prestigious journals such as PLoS ONE, Digital Investigation and ORCA Online Research @Cardiff (Cardiff University).

In The Last Decade

Mikhaila Burgess

6 papers receiving 275 citations

Author Peers

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

Author Last Decade Papers Cites
Mikhaila Burgess 177 117 115 72 40 6 291
Daniel Noesgaard 156 0.9× 59 0.5× 87 0.8× 59 0.8× 28 0.7× 7 249
Greg Riccardi 179 1.0× 41 0.4× 80 0.7× 68 0.9× 16 0.4× 12 295
Philippe Desjardins-Proulx 84 0.5× 90 0.8× 71 0.6× 84 1.2× 19 0.5× 11 234
Laura Russell 120 0.7× 45 0.4× 85 0.7× 50 0.7× 18 0.5× 9 262
Joan Damerow 138 0.8× 93 0.8× 112 1.0× 50 0.7× 25 0.6× 11 208
Fangyuan Yu 172 1.0× 119 1.0× 86 0.7× 135 1.9× 40 1.0× 16 295
Patrick Leary 84 0.5× 36 0.3× 99 0.9× 52 0.7× 23 0.6× 14 320
Glenda M. Yenni 97 0.5× 105 0.9× 85 0.7× 79 1.1× 47 1.2× 11 220
Andrew Bentley 133 0.8× 37 0.3× 98 0.9× 54 0.8× 11 0.3× 8 250
Carla Maldonado 159 0.9× 118 1.0× 86 0.7× 124 1.7× 31 0.8× 4 270

Countries citing papers authored by Mikhaila Burgess

Since Specialization
Citations

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

Fields of papers citing papers by Mikhaila Burgess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhaila Burgess

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