Luke K. McDowell

43 total papers · 896 total citations
32 papers, 431 citations indexed

About

Luke K. McDowell is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Luke K. McDowell has authored 32 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 8 papers in Information Systems. Recurrent topics in Luke K. McDowell's work include Advanced Graph Neural Networks (8 papers), Complex Network Analysis Techniques (6 papers) and Personal Information Management and User Behavior (5 papers). Luke K. McDowell is often cited by papers focused on Advanced Graph Neural Networks (8 papers), Complex Network Analysis Techniques (6 papers) and Personal Information Management and User Behavior (5 papers). Luke K. McDowell collaborates with scholars based in United States and Switzerland. Luke K. McDowell's co-authors include David W. Aha, Alon Halevy, Oren Etzioni, Kalyan Moy Gupta, Michael Cafarella, Henry M. Levy, Richard Anderson, Beth Simon, Ruth Anderson and Ryan A. Rossi and has published in prestigious journals such as Journal of Machine Learning Research, ACM Transactions on Computer Systems and ACM SIGPLAN Notices.

In The Last Decade

Luke K. McDowell

30 papers receiving 374 citations

Author Peers

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

Author Last Decade Papers Cites
Luke K. McDowell 229 129 100 87 66 32 431
Chuntao Jiang 182 0.8× 158 1.2× 85 0.8× 39 0.4× 145 2.2× 22 452
Harris Papadakis 137 0.6× 220 1.7× 186 1.9× 43 0.5× 97 1.5× 35 448
Panayiotis Bozanis 155 0.7× 144 1.1× 136 1.4× 70 0.8× 67 1.0× 55 453
Suman Roy 135 0.6× 141 1.1× 185 1.9× 96 1.1× 81 1.2× 53 454
Yongzheng Zhang 289 1.3× 183 1.4× 215 2.1× 52 0.6× 43 0.7× 26 496
Osnat Mokryn 134 0.6× 135 1.0× 185 1.9× 58 0.7× 45 0.7× 45 468
Yu Li 111 0.5× 183 1.4× 223 2.2× 13 0.1× 60 0.9× 26 452
Erzhou Zhu 189 0.8× 246 1.9× 121 1.2× 23 0.3× 34 0.5× 37 402
Guangxia Xu 212 0.9× 200 1.6× 205 2.0× 38 0.4× 49 0.7× 38 495
Giovanni Comarela 128 0.6× 111 0.9× 179 1.8× 116 1.3× 24 0.4× 37 414

Countries citing papers authored by Luke K. McDowell

Since Specialization
Citations

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

Fields of papers citing papers by Luke K. McDowell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luke K. McDowell. 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 Luke K. McDowell. The network helps show where Luke K. McDowell may publish in the future.

Co-authorship network of co-authors of Luke K. McDowell

This figure shows the co-authorship network connecting the top 25 collaborators of Luke K. McDowell. A scholar is included among the top collaborators of Luke K. McDowell 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 Luke K. McDowell. Luke K. McDowell 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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