Julia Mullen

773 citations
18 papers · 336 · h-index 7

Impact in

Papers in

Julia Mullen

17 papers receiving 324 citations

Peers

Julia Mullen
Comparison fields: 5 of 64
  • Computational Mechanics 179
  • Computer Science Applications 33
  • Information Systems and Management 24
  • Hardware and Architecture 23
  • Numerical Analysis 15
Replace Maddegedara Lalith with:
Maddegedara Lalith Japan
David A. Lane United States
Konduri Aditya United States
Sophia Lefantzi United States
Michel Rasquin United States
Simon Stegmaier Germany
Robert R. Lewis United States
Renato N. Elias Brazil
Mark S. Schmalz United States
David Jin United States
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Citations per field
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Citations per year

Countries citing papers authored by Julia Mullen

Since Specialization
Citations

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

Fields of papers citing papers by Julia Mullen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Julia Mullen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Julia Mullen Line = papers co-authored together Julia Mullen links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2001197
2 201737
3 200625
4 200620
5
Supercomputing in plain English : teaching high performance computing to inexperienced programmers
200211
6 20157
7 20216
8 20196
9 20196
10 20075
11 20174
12
Development of a parallel-spectral-element-based large-eddy simulation model for the flow of incompressible fluids in complex geometries
19993
13 20063
14 20132
15 20222
16 20051
17 20191
18 20240

About Julia Mullen

Julia Mullen is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Computational Mechanics and Computer Science Applications, having authored 18 papers that have together received 336 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (7 papers), Parallel Computing and Optimization Techniques (7 papers), Cloud Computing and Resource Management (5 papers), Online Learning and Analytics (3 papers), Advanced Numerical Methods in Computational Mathematics (2 papers), Innovative Teaching Methods (2 papers), Advanced Data Storage Technologies (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Computational Mechanics (179 citations), Computer Science Applications (33 citations), Information Systems and Management (24 citations), Hardware and Architecture (23 citations) and Numerical Analysis (15 citations). Julia Mullen has collaborated with scholars based in United States and Canada. Frequent co-authors include Paul Fischer, Albert Reuther, Sigal Gottlieb, Steven J. Ruuth, Jeremy Kepner, Chansup Byun, Siddharth Samsi, Lauren Milechin, John M. Sullivan and Paul Fischer. Their work appears in journals such as Journal of Parallel and Distributed Computing, Journal of Scientific Computing, SHAREOK (University of Oklahoma), Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and ACM SIGCSE Bulletin.

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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