Maria Burke

160 total papers · 518 total citations
75 papers, 309 citations indexed

About

Maria Burke is a scholar working on Information Systems, Strategy and Management and Communication. According to data from OpenAlex, Maria Burke has authored 75 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 6 papers in Strategy and Management and 5 papers in Communication. Recurrent topics in Maria Burke's work include Knowledge Management and Sharing (5 papers), Competitive and Knowledge Intelligence (4 papers) and Big Data and Business Intelligence (4 papers). Maria Burke is often cited by papers focused on Knowledge Management and Sharing (5 papers), Competitive and Knowledge Intelligence (4 papers) and Big Data and Business Intelligence (4 papers). Maria Burke collaborates with scholars based in United Kingdom, United States and Switzerland. Maria Burke's co-authors include Andrew Basden, James Sumberg, Rebecca Renner, S. Millar, Naomi Lubick, Janet Pelley, Catherine M. Cooney, Chris Speed, Holger Kruse and Philip Brown and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and International Journal of Information Management.

In The Last Decade

Maria Burke

62 papers receiving 248 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Burke 51 43 42 34 31 75 309
Agustí Cerrillo i Martínez 19 0.4× 39 0.9× 64 1.5× 25 0.7× 10 0.3× 76 323
Isabel Pinho 64 1.3× 60 1.4× 30 0.7× 30 0.9× 25 0.8× 29 235
Víctor Valero Amaro 15 0.3× 76 1.8× 53 1.3× 37 1.1× 16 0.5× 31 272
Ana María Casado Molina 33 0.6× 69 1.6× 95 2.3× 16 0.5× 18 0.6× 41 288
QI Zhong-ying 33 0.6× 71 1.7× 17 0.4× 20 0.6× 15 0.5× 53 346
José Storópoli 13 0.3× 71 1.7× 61 1.5× 17 0.5× 44 1.4× 48 347
Jie Yan 85 1.7× 34 0.8× 98 2.3× 9 0.3× 35 1.1× 35 341
Ling Jiang 57 1.1× 13 0.3× 149 3.5× 36 1.1× 48 1.5× 31 337
Jongchang Ahn 39 0.8× 27 0.6× 142 3.4× 40 1.2× 76 2.5× 31 311
Svajonė Bekešienė 13 0.3× 34 0.8× 37 0.9× 41 1.2× 7 0.2× 51 341

Countries citing papers authored by Maria Burke

Since Specialization
Citations

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

Fields of papers citing papers by Maria Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Burke

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