Michael J. Laszlo

963 citations
22 papers · 779 · h-index 9

Impact in

    • Computational Geometry and Mesh Generation
    • Computer Graphics and Visualization Techniques
    • Advanced Clustering Algorithms Research
    • Privacy-Preserving Technologies in Data
    • Cryptography and Data Security
    • Metaheuristic Optimization Algorithms Research

Papers in

Michael J. Laszlo

22 papers receiving 716 citations

Peers

Michael J. Laszlo
Comparison fields: 5 of 90
  • Computer Graphics and Computer-Aided Design 201
  • Artificial Intelligence 399
  • Signal Processing 124
  • Computer Vision and Pattern Recognition 205
  • Computer Science Applications 48
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Tian Xia United States
Hans Hinterberger Switzerland
Tobias Emrich Germany
Parris K. Egbert United States
Thomas Brinkhoff Germany
Mingxuan Sun United States
Wee Hyong Tok Singapore
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Citations per field
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Citations per year

Countries citing papers authored by Michael J. Laszlo

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Laszlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Laszlo. 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 Michael J. Laszlo. The network helps show where Michael J. Laszlo may publish in the future.

Co-authors

The 10 scholars most cited alongside Michael J. Laszlo, 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 Michael J. Laszlo Line = papers co-authored together Michael J. Laszlo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005175
2 1989140
3 2007124
4 200691
5 198770
6
Computational Geometry and Computer Graphics in C
199557
7
Statistical Selection of Exact Answers (MultiText Experiments for TREC 2002).
200236
8 200224
9 200910
10
A data structure for manipulating three-dimensional subdivisions
19879
11 20058
12 20146
13 19926
14 20056
15 20074
16
Goal-Driven Answer Extraction.
20003
17
Object-Oriented Programming Featuring Graphical Applications in Java
20013
18
Object-Oriented Programming in Java: A Graphical Approach
20012
19 20022
20 20221

About Michael J. Laszlo

Michael J. Laszlo is a scholar working on Computer Graphics and Computer-Aided Design, Artificial Intelligence, Computational Theory and Mathematics, Information Systems and Software, having authored 22 papers that have together received 779 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (5 papers), Computational Geometry and Mesh Generation (4 papers), Topic Modeling (4 papers), Metaheuristic Optimization Algorithms Research (3 papers), Natural Language Processing Techniques (3 papers), Cryptography and Data Security (3 papers), Advanced Numerical Analysis Techniques (3 papers) and Advanced Clustering Algorithms Research (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (201 citations), Artificial Intelligence (399 citations), Signal Processing (124 citations), Computer Vision and Pattern Recognition (205 citations) and Computer Science Applications (48 citations). Michael J. Laszlo has collaborated with scholars based in United States and Canada. Frequent co-authors include Sumitra Mukherjee, David Dobkin, Egidio L. Terra, Thomas R. Lynam, Gordon V. Cormack, Charles L. A. Clarke, Guy Lapalme, Kevin McQuillan, Michael Scott Brown and Leila Kosseim. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Journal of Systems and Software, Optimization Letters, Discrete Applied Mathematics and Operations Research Letters.

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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