Mary L. Bailey

33 total papers · 543 total citations
22 papers, 390 citations indexed

About

Mary L. Bailey is a scholar working on Hardware and Architecture, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Mary L. Bailey has authored 22 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hardware and Architecture, 10 papers in Computer Networks and Communications and 9 papers in Management Science and Operations Research. Recurrent topics in Mary L. Bailey's work include Parallel Computing and Optimization Techniques (15 papers), Simulation Techniques and Applications (9 papers) and Embedded Systems Design Techniques (7 papers). Mary L. Bailey is often cited by papers focused on Parallel Computing and Optimization Techniques (15 papers), Simulation Techniques and Applications (9 papers) and Embedded Systems Design Techniques (7 papers). Mary L. Bailey collaborates with scholars based in United States. Mary L. Bailey's co-authors include Roger D. Chamberlain, Larry Peterson, David Socha, David Notkin, Prasenjit Sarkar, Lawrence Snyder, L. Snyder, Yi‐Bing Lin, Edward D. Lazowska and William G. Griswold and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and ACM SIGPLAN Notices.

In The Last Decade

Mary L. Bailey

21 papers receiving 342 citations

Author Peers

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

Author						Papers	Cites
Mary L. Bailey	290	254	133	66	35	22	390
Ho-Leung Chan	117 0.4×	305 1.2×	69 0.5×	47 0.7×	117 3.3×	36	422
M. H. MacDougall	86 0.3×	313 1.2×	77 0.6×	108 1.6×	17 0.5×	11	414
Ricardo C. Corrêa	99 0.3×	224 0.9×	56 0.4×	33 0.5×	39 1.1×	38	390
Jia Zou	151 0.5×	210 0.8×	49 0.4×	22 0.3×	110 3.1×	29	388
Roland N. Ibbett	194 0.7×	221 0.9×	32 0.2×	40 0.6×	30 0.9×	38	341
Sorin Manolache	297 1.0×	193 0.8×	18 0.1×	65 1.0×	20 0.6×	14	365
Malcolm C. Easton	70 0.2×	223 0.9×	25 0.2×	38 0.6×	81 2.3×	13	341
Tom Friedetzky	57 0.2×	264 1.0×	43 0.3×	40 0.6×	49 1.4×	43	379
John Augustine	58 0.2×	285 1.1×	28 0.2×	37 0.6×	52 1.5×	38	389
Vijay Balakrishnan	132 0.5×	331 1.3×	29 0.2×	18 0.3×	31 0.9×	18	362

Countries citing papers authored by Mary L. Bailey

Since Specialization

Citations

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

Fields of papers citing papers by Mary L. Bailey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary L. Bailey. 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 Mary L. Bailey. The network helps show where Mary L. Bailey may publish in the future.

Co-authorship network of co-authors of Mary L. Bailey

This figure shows the co-authorship network connecting the top 25 collaborators of Mary L. Bailey. A scholar is included among the top collaborators of Mary L. Bailey 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 Mary L. Bailey. Mary L. Bailey 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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