Mike Feeley

875 total citations · 1 hit paper
8 papers, 631 citations indexed

About

Mike Feeley is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Mike Feeley has authored 8 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 5 papers in Information Systems and 4 papers in Artificial Intelligence. Recurrent topics in Mike Feeley's work include Software System Performance and Reliability (6 papers), Advanced Software Engineering Methodologies (4 papers) and Service-Oriented Architecture and Web Services (3 papers). Mike Feeley is often cited by papers focused on Software System Performance and Reliability (6 papers), Advanced Software Engineering Methodologies (4 papers) and Service-Oriented Architecture and Web Services (3 papers). Mike Feeley collaborates with scholars based in Canada. Mike Feeley's co-authors include N.C. Hutchinson, Andrew Warfield, Geoffrey Lefebvre, Brendan Cully, Dutch T. Meyer, Gregor Kiczales, Yvonne Coady, Joon Ong and Norman C. Hutchinson and has published in prestigious journals such as Communications of the ACM, ACM SIGPLAN Notices and Networked Systems Design and Implementation.

In The Last Decade

Mike Feeley

8 papers receiving 575 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Remus: high availability via asynchronous virtual machine replication

2008 448 citations Brendan Cully, Geoffrey Lefebvre et al. Networked Systems Design and Implementation profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mike Feeley Canada	7	523	460	185	134	50	8	631
Jimi Xenidis United States	11	494 0.9×	297 0.6×	167 0.9×	336 2.5×	37 0.7×	19	594
Brendan Cully Canada	12	748 1.4×	598 1.3×	58 0.3×	194 1.4×	49 1.0×	20	796
Austin T. Clements United States	9	708 1.4×	397 0.9×	129 0.7×	452 3.4×	32 0.6×	14	802
Adrian Schüpbach Switzerland	7	571 1.1×	328 0.7×	133 0.7×	516 3.9×	48 1.0×	9	674
Shalini Yajnik United States	11	406 0.8×	201 0.4×	75 0.4×	146 1.1×	47 0.9×	28	466
Akhilesh Singhania Switzerland	3	478 0.9×	271 0.6×	121 0.7×	435 3.2×	49 1.0×	4	574
Silvius Rus United States	10	388 0.7×	238 0.5×	86 0.5×	246 1.8×	17 0.3×	19	488
Dinesh Subhraveti United States	10	609 1.2×	438 1.0×	106 0.6×	213 1.6×	50 1.0×	13	666
Pierre-Évariste Dagand France	7	475 0.9×	283 0.6×	199 1.1×	427 3.2×	49 1.0×	11	637
Bryan Cantrill United States	5	309 0.6×	161 0.3×	119 0.6×	157 1.2×	15 0.3×	7	379

Countries citing papers authored by Mike Feeley

Since Specialization

Citations

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

Fields of papers citing papers by Mike Feeley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Feeley

This figure shows the co-authorship network connecting the top 25 collaborators of Mike Feeley. A scholar is included among the top collaborators of Mike Feeley 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 Mike Feeley. Mike Feeley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Lefebvre, Geoffrey, et al.. (2012). Execution mining. ACM SIGPLAN Notices. 47(7). 145–158. 3 indexed citations

2.

Lefebvre, Geoffrey, et al.. (2012). Execution mining. 145–158. 16 indexed citations

3.

Cully, Brendan, Geoffrey Lefebvre, Dutch T. Meyer, et al.. (2008). Remus: High Availability via Asynchronous Virtual Machine Replication. (Best Paper). Networked Systems Design and Implementation. 161. 7 indexed citations

4.

Cully, Brendan, Geoffrey Lefebvre, Dutch T. Meyer, et al.. (2008). Remus: high availability via asynchronous virtual machine replication. Networked Systems Design and Implementation. 161–174. 448 indexed citations breakdown →

5.

Coady, Yvonne, et al.. (2001). Using aspectC to improve the modularity of path-specific customization in operating system code. 88–98. 111 indexed citations

6.

Coady, Yvonne, et al.. (2001). Using aspectC to improve the modularity of path-specific customization in operating system code. 9 indexed citations

7.

Coady, Yvonne, et al.. (2001). Using aspectC to improve the modularity of path-specific customization in operating system code. ACM SIGSOFT Software Engineering Notes. 26(5). 88–98. 12 indexed citations

8.

Coady, Yvonne, Gregor Kiczales, Mike Feeley, N.C. Hutchinson, & Joon Ong. (2001). Structuring operating system aspects. Communications of the ACM. 44(10). 79–82. 25 indexed citations

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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