Philip Healy

39 total papers · 462 total citations
23 papers, 253 citations indexed

About

Philip Healy is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Philip Healy has authored 23 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 10 papers in Information Systems and 5 papers in Hardware and Architecture. Recurrent topics in Philip Healy's work include Distributed and Parallel Computing Systems (7 papers), Cloud Computing and Resource Management (6 papers) and Parallel Computing and Optimization Techniques (5 papers). Philip Healy is often cited by papers focused on Distributed and Parallel Computing Systems (7 papers), Cloud Computing and Resource Management (6 papers) and Parallel Computing and Optimization Techniques (5 papers). Philip Healy collaborates with scholars based in Ireland, United States and India. Philip Healy's co-authors include John P. Morrison, Theo Lynn, Vincent C. Emeakaroha, Kaniz Fatema, Lisa van der Werff, Graham R. Hunt, Steven Kilroy, Enda Barrett, Richard McClatchey and Claus Pahl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Studies in Higher Education and Journal of Parallel and Distributed Computing.

In The Last Decade

Philip Healy

21 papers receiving 233 citations

Author Peers

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

Author						Papers	Cites
Philip Healy	162	161	47	23	20	23	253
Daniel Ragsdale	206 1.3×	148 0.9×	77 1.6×	38 1.7×	11 0.6×	18	330
Mache Creeger	153 0.9×	130 0.8×	34 0.7×	10 0.4×	27 1.4×	18	250
Javier Conejero	106 0.7×	116 0.7×	36 0.8×	24 1.0×	36 1.8×	19	229
Abdulaziz Aborujilah	128 0.8×	135 0.8×	90 1.9×	18 0.8×	15 0.8×	37	298
Luisa Massari	172 1.1×	152 0.9×	62 1.3×	50 2.2×	12 0.6×	20	260
Dominique Decouchant	107 0.7×	139 0.9×	102 2.2×	10 0.4×	29 1.4×	31	312
Sadaf Hina	157 1.0×	104 0.6×	49 1.0×	35 1.5×	20 1.0×	21	260
Martin Kleppmann	123 0.8×	203 1.3×	65 1.4×	6 0.3×	17 0.8×	25	290
Krzysztof Palacz	105 0.6×	98 0.6×	59 1.3×	9 0.4×	15 0.8×	12	191
Kristina Winbladh	200 1.2×	68 0.4×	90 1.9×	34 1.5×	11 0.6×	13	311

Countries citing papers authored by Philip Healy

Since Specialization

Citations

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

Fields of papers citing papers by Philip Healy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Healy

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