Lawrence Roy

487 citations
31 papers · 260 · h-index 10

Impact in

Papers in

Lawrence Roy

25 papers receiving 251 citations

Peers

Lawrence Roy
Comparison fields: 5 of 40
  • Computational Theory and Mathematics 95
  • Artificial Intelligence 177
  • Computer Graphics and Computer-Aided Design 19
  • Computer Vision and Pattern Recognition 45
  • Information Systems 45
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Ángel del Rı́o Spain
Ishay Haviv Israel
A. L. Chistov Russia
Khanh Do Ba United States
Mark Sellke United States
Tselil Schramm United States
Xuebin Chi China
Antal Balog Hungary
Andreas Bärtschi United States
Steven Obua Germany
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Citations per year

Countries citing papers authored by Lawrence Roy

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202145
2 202337
3 202129
4 202229
5 201714
6 202413
7 202411
8 199611
9 20239
10 20189
11 19939
12 20248
13 20216
14 20195
15 20175
16 20234
17 19923
18 20203
19 20203
20 20252

About Lawrence Roy

Lawrence Roy is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Information Systems, having authored 31 papers that have together received 260 indexed citations. Recurring topics across this work include Cryptography and Data Security (20 papers), Complexity and Algorithms in Graphs (7 papers), Cryptographic Implementations and Security (6 papers), Computer Graphics and Visualization Techniques (5 papers), Chaos control and synchronization (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Privacy-Preserving Technologies in Data (3 papers) and Mathematical Dynamics and Fractals (3 papers). The work is most often cited by research in Computational Theory and Mathematics (95 citations), Artificial Intelligence (177 citations), Computer Graphics and Computer-Aided Design (19 citations), Computer Vision and Pattern Recognition (45 citations) and Information Systems (45 citations). Lawrence Roy has collaborated with scholars based in Denmark, United States and Italy. Frequent co-authors include Mike Rosulek, Peter Schöll, Carsten Baum, Eugene Zhang, Emmanuela Orsini, Claudio Orlandi, Robert A. Smith, R. Domı́nguez-Tenreiro, Vicent J. Martı́nez and Yashvanth Kondi. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Progress of Theoretical Physics, Lecture notes in computer science, ACM Transactions on Graphics and Journal of Clinical Anesthesia.

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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