Luke Dalessandro

1.3k citations
32 papers · 910 · h-index 14

Impact in

Papers in

Luke Dalessandro

31 papers receiving 849 citations

Peers

Luke Dalessandro
Comparison fields: 5 of 47
  • Hardware and Architecture 593
  • Computer Networks and Communications 856
  • Experimental and Cognitive Psychology 278
  • Artificial Intelligence 102
  • Software 9
Replace Manohar K. Prabhu with:
Manohar K. Prabhu United States
Chi Cao Minh United States
Dave Dice United States
Lihu Rappoport Israel
Stephan Diestelhorst United States
Tobias Distler Germany
Mojtaba Mehrara United States
Magnus Ekman Sweden
T. J. Slegel United States
Matthew Gaudet Canada
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Citations per field
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Citations per year

Countries citing papers authored by Luke Dalessandro

Since Specialization
Citations

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

Fields of papers citing papers by Luke Dalessandro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luke Dalessandro, 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 Luke Dalessandro Line = papers co-authored together Luke Dalessandro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010197
2 2007116
3 200996
4 201180
5 200756
6 200845
7 201040
8 200839
9 201032
10
Capabilities and Limitations of Library-Based Software Transactional Memory in C++
200728
11 200728
12 200923
13 201223
14 201020
15 202112
16 201011
17 20239
18 20179
19 20078
20 20168

About Luke Dalessandro

Luke Dalessandro is a scholar working on Computer Networks and Communications, Hardware and Architecture, Experimental and Cognitive Psychology, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 910 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (19 papers), Parallel Computing and Optimization Techniques (15 papers), Advanced Data Storage Technologies (13 papers), Cognitive Functions and Memory (8 papers), Optimization and Search Problems (3 papers), Radiation Effects in Electronics (3 papers), Software System Performance and Reliability (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Hardware and Architecture (593 citations), Computer Networks and Communications (856 citations), Experimental and Cognitive Psychology (278 citations), Artificial Intelligence (102 citations) and Software (9 citations). Luke Dalessandro has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Michael L. Scott, Michael Spear, Virendra J. Marathe, Yossi Lev, Mark Moir, Sean White, Michael A. Silverman, Maged M. Michael, Nir Shavit and Dave Dice. Their work appears in journals such as ACM SIGPLAN Notices, The International Journal of High Performance Computing Applications, International Journal for Multiscale Computational Engineering, Journal of Computational Physics and Lecture notes in computer science.

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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