Lawrence J. Mazlack
- Artificial Intelligence top 5%
- Social Psychology
- Computer Science Applications top 5%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Topics
- Rough Sets and Fuzzy Logic (21 papers)Data Mining Algorithms and Applications (18 papers)Data Management and Algorithms (12 papers)
- Cited by
- Computer Science ApplicationsArtificial IntelligenceManagement Science and Operations Research
- Partner nations
- United StatesCanada
In The Last Decade
Lawrence J. Mazlack
63 papers receiving 480 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 320
- Social Psychology 79
- Computer Science Applications 69
- Information Systems 59
- Computer Vision and Pattern Recognition 59
Countries citing papers authored by Lawrence J. Mazlack
This map shows the geographic impact of Lawrence J. Mazlack'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 J. Mazlack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence J. Mazlack more than expected).
Fields of papers citing papers by Lawrence J. Mazlack
This network shows the impact of papers produced by Lawrence J. Mazlack. 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 J. Mazlack. The network helps show where Lawrence J. Mazlack may publish in the future.
Co-authorship network of co-authors of Lawrence J. Mazlack
This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence J. Mazlack. A scholar is included among the top collaborators of Lawrence J. Mazlack based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lawrence J. Mazlack. Lawrence J. Mazlack is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 51 | |
| 2 | Lexico-syntactic causal pattern text mining | 1 |
| 3 | 24 | |
| 4 | 3 | |
| 5 | Vertical mining with incomplete data | 1 |
| 6 | An investigation into computational recognition of children's jokes | 2 |
| 7 | On possible applications of rough mereology to handling granularity in ontological knowledge | 2 |
| 8 | Frames, Coherency Chains and Hierarchical Binding: The Cortical Implementation of Complex Concepts | 1 |
| 9 | Focused Statistical Joke Generation. | 3 |
| 10 | 0 | |
| 11 | Computationally Recognizing Wordplay in Jokes | 60 |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | Structured Problem-Solving With Pascal | 1 |
| 19 | 1 | |
| 20 | 7 |
About Lawrence J. Mazlack
Lawrence J. Mazlack is a scholar working on Computer Science Applications, Artificial Intelligence and Computational Theory and Mathematics, having authored 71 papers that have together received 520 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (21 papers), Data Mining Algorithms and Applications (18 papers) and Data Management and Algorithms (12 papers). The work is most often cited by research in Computer Science Applications (69 citations), Artificial Intelligence (320 citations) and Management Science and Operations Research (57 citations). Lawrence J. Mazlack has collaborated with scholars based in United States and Canada. Frequent co-authors include Julia M. Taylor, Long Lu, Ye Chen, Ye Chen, Ali A. Minai, Lirong Tan, Judd Storrs, J. H. Lee, Pavel Klinov and Ethan P. White. Their work appears in journals such as Communications of the ACM, Expert Systems with Applications and Artificial Intelligence.
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.