Paul Lu

1.5k citations
55 papers · 1.0k · h-index 14

Impact in

Papers in

Paul Lu

48 papers receiving 932 citations

Peers

Paul Lu
Comparison fields: 5 of 82
  • Artificial Intelligence 641
  • Hardware and Architecture 109
  • Computer Networks and Communications 281
  • Information Systems and Management 56
  • Economics and Econometrics 182
Replace Hana Chockler with:
Hana Chockler Israel
Monty Newborn Canada
Kenneth E. Iverson United States
Debanjan Saha United States
Carolyn Jane Anderson United States
Noa Zilberman United Kingdom
Raymond Greenlaw United States
Saul Amarel United States
Juris Hartmanis United States
Christoph Neumann Germany
Paul Lu relative to Hana Chockler Israel Hana Chockler's profile →
Citations per field
00.5×5×11.4×
Hana Chockler · 1×
Citations per year

Countries citing papers authored by Paul Lu

Since Specialization
Citations

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

Fields of papers citing papers by Paul Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007256
2 1992116
3
Chinook: The World Man-Machine Checkers Champion
199699
4 199393
5
Visual explanation of evidence in additive classifiers
200669
6 201138
7 200837
8 199334
9 200234
10 200620
11 200217
12
Multi-dispatch in the Java virtual machine: design and implementation
200116
13 200316
14
REVIVING THE GAME OF CHECKERS
199114
15 201112
16
A Re-Examination of Brute-Force Search
199311
17
Low-Latency Caching for Cloud-Based Web Applications
201111
18 199310
19 200310
20 20129

About Paul Lu

Paul Lu is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Information Systems and Management and Information Systems, having authored 55 papers that have together received 1.0k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (17 papers), Advanced Data Storage Technologies (12 papers), Parallel Computing and Optimization Techniques (10 papers), Artificial Intelligence in Games (10 papers), Network Traffic and Congestion Control (10 papers), Scientific Computing and Data Management (7 papers), Cloud Computing and Resource Management (7 papers) and Sports Analytics and Performance (7 papers). The work is most often cited by research in Artificial Intelligence (641 citations), Hardware and Architecture (109 citations), Computer Networks and Communications (281 citations), Information Systems and Management (56 citations) and Economics and Econometrics (182 citations). Paul Lu has collaborated with scholars based in Canada, United States and Denmark. Frequent co-authors include Jonathan Schaeffer, Duane Szafron, Robert W. Lake, NEIL R. BURCH, Yngvi Björnsson, Martin Müller, Steve Sutphen, Akihiro Kishimoto, Joseph C. Culberson and Russell Greiner. Their work appears in journals such as Parallel Computing, IEEE Transactions on Computers, Bioinformatics, Journal of Parallel and Distributed Computing and AI Magazine.

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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