Michael Blackstock

35 total papers · 1.3k total citations
28 papers, 878 citations indexed

About

Michael Blackstock is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Blackstock has authored 28 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 10 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Blackstock's work include IoT and Edge/Fog Computing (15 papers), Context-Aware Activity Recognition Systems (8 papers) and Interactive and Immersive Displays (5 papers). Michael Blackstock is often cited by papers focused on IoT and Edge/Fog Computing (15 papers), Context-Aware Activity Recognition Systems (8 papers) and Interactive and Immersive Displays (5 papers). Michael Blackstock collaborates with scholars based in Canada, United Kingdom and Brazil. Michael Blackstock's co-authors include Rodger Lea, Nam Ky Giang, Victor C. M. Leung, Adrian Friday, Anthony Tang, Rock Leung, Charles Krasic, Jalal Al‐Muhtadi, Aiman Erbad and Michael J. Feeley and has published in prestigious journals such as Queue and Open Collections.

In The Last Decade

Michael Blackstock

27 papers receiving 832 citations

Author Peers

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

Author Last Decade Papers Cites
Michael Blackstock 627 270 253 157 114 28 878
Xuan‐Qui Pham 588 0.9× 369 1.4× 170 0.7× 228 1.5× 151 1.3× 21 958
Maria Ebling 608 1.0× 228 0.8× 327 1.3× 99 0.6× 72 0.6× 56 1.0k
Jason Ng 217 0.3× 184 0.7× 174 0.7× 187 1.2× 66 0.6× 54 790
Dimitris Chatzopoulos 345 0.6× 203 0.8× 319 1.3× 114 0.7× 179 1.6× 40 811
Mario Gutiérrez 378 0.6× 167 0.6× 335 1.3× 151 1.0× 244 2.1× 35 995
Yujun Ma 377 0.6× 166 0.6× 156 0.6× 198 1.3× 33 0.3× 26 955
Pasika Ranaweera 472 0.8× 356 1.3× 102 0.4× 169 1.1× 155 1.4× 31 1.0k
Shravan Gaonkar 297 0.5× 90 0.3× 190 0.8× 347 2.2× 112 1.0× 22 768
Mohammed S. Elbamby 451 0.7× 106 0.4× 245 1.0× 336 2.1× 104 0.9× 14 858
Ying Xie 283 0.5× 314 1.2× 154 0.6× 84 0.5× 199 1.7× 80 961

Countries citing papers authored by Michael Blackstock

Since Specialization
Citations

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

Fields of papers citing papers by Michael Blackstock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Blackstock

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