Suzanne M. Kelly

91 total papers · 1.2k total citations
41 papers, 865 citations indexed

About

Suzanne M. Kelly is a scholar working on Pulmonary and Respiratory Medicine, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Suzanne M. Kelly has authored 41 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 14 papers in Computer Networks and Communications and 12 papers in Hardware and Architecture. Recurrent topics in Suzanne M. Kelly's work include Advanced Data Storage Technologies (13 papers), Parallel Computing and Optimization Techniques (12 papers) and Cloud Computing and Resource Management (8 papers). Suzanne M. Kelly is often cited by papers focused on Advanced Data Storage Technologies (13 papers), Parallel Computing and Optimization Techniques (12 papers) and Cloud Computing and Resource Management (8 papers). Suzanne M. Kelly collaborates with scholars based in United States, Canada and United Kingdom. Suzanne M. Kelly's co-authors include André De Troyer, Peter T. Macklem, Ron Brightwell, M Barbeau, James R. Gray, Christopher R. McBurney, Pierre Paré, Robert Balshaw, Courtenay Vaughan and James H. Laros and has published in prestigious journals such as Science, Journal of Clinical Investigation and Journal of Applied Physiology.

In The Last Decade

Suzanne M. Kelly

38 papers receiving 811 citations

Author Peers

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

Author						Papers	Cites
Suzanne M. Kelly	302	210	199	178	148	41	865
Taylor	29 0.1×	26 0.1×	41 0.2×	154 0.9×	116 0.8×	29	713
Hiroshi Noguchi	82 0.3×	52 0.2×	4 0.0×	130 0.7×	16 0.1×	102	1.0k
Oh‐Young Kwon	185 0.6×	111 0.5×	31 0.2×	51 0.3×	1 0.0×	90	930
William J. Gallagher	75 0.2×	16 0.1×	11 0.1×	132 0.7×	66 0.4×	44	838
Esko Alasaarela	25 0.1×	189 0.9×	33 0.2×	192 1.1×	1 0.0×	68	1.0k
Dario Salvi	61 0.2×	71 0.3×	3 0.0×	57 0.3×	4 0.0×	55	857
Dimitrios Karayiannis	52 0.2×	41 0.2×	47 0.2×	66 0.4×		34	752
A H Klein	218 0.7×	24 0.1×	35 0.2×	96 0.5×	3 0.0×	25	711
Bernd Walter	134 0.4×	62 0.3×	17 0.1×	43 0.2×		64	925
Marina Mat Baki	246 0.8×	30 0.1×	1 0.0×	169 0.9×	31 0.2×	91	809

Countries citing papers authored by Suzanne M. Kelly

Since Specialization

Citations

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

Fields of papers citing papers by Suzanne M. Kelly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne M. Kelly. 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 Suzanne M. Kelly. The network helps show where Suzanne M. Kelly may publish in the future.

Co-authorship network of co-authors of Suzanne M. Kelly

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne M. Kelly. A scholar is included among the top collaborators of Suzanne M. Kelly 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 Suzanne M. Kelly. Suzanne M. Kelly 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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