Lawrence J. Mazlack

780 total citations
28 papers, 188 citations indexed

About

Lawrence J. Mazlack is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Science Applications. According to data from OpenAlex, Lawrence J. Mazlack has authored 28 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 7 papers in Computer Science Applications. Recurrent topics in Lawrence J. Mazlack's work include Rough Sets and Fuzzy Logic (7 papers), Teaching and Learning Programming (6 papers) and Data Mining Algorithms and Applications (5 papers). Lawrence J. Mazlack is often cited by papers focused on Rough Sets and Fuzzy Logic (7 papers), Teaching and Learning Programming (6 papers) and Data Mining Algorithms and Applications (5 papers). Lawrence J. Mazlack collaborates with scholars based in United States and Canada. Lawrence J. Mazlack's co-authors include Ye Chen, Long Lu, Julia M. Taylor, Ali A. Minai, Judd Storrs, Lirong Tan, J. H. Lee, Roger Alan Pick, Pavel Klinov and Yaoyao Zhu and has published in prestigious journals such as Communications of the ACM, Expert Systems with Applications and Artificial Intelligence.

In The Last Decade

Lawrence J. Mazlack

24 papers receiving 176 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lawrence J. Mazlack 90 34 21 20 18 28 188
Pietro Michelucci 43 0.5× 75 2.2× 12 0.6× 14 0.7× 10 0.6× 8 255
Gary Bradshaw 47 0.5× 16 0.5× 7 0.3× 16 0.8× 38 2.1× 12 229
Vincent Chiew 81 0.9× 15 0.4× 12 0.6× 11 0.6× 25 1.4× 2 181
Rafael Duque 33 0.4× 46 1.4× 24 1.1× 15 0.8× 32 1.8× 28 194
Hrafn Loftsson 280 3.1× 7 0.2× 21 1.0× 19 0.9× 16 0.9× 22 365
Doug Markant 49 0.5× 12 0.4× 17 0.8× 21 1.1× 39 2.2× 6 201
Jordi Conesa 79 0.9× 87 2.6× 13 0.6× 19 0.9× 59 3.3× 43 227
Bonita Sharif 60 0.7× 64 1.9× 19 0.9× 20 1.0× 19 1.1× 23 345
Reyes Juárez‐Ramírez 84 0.9× 62 1.8× 7 0.3× 14 0.7× 36 2.0× 43 239
Bryan R. Gibson 151 1.7× 10 0.3× 14 0.7× 13 0.7× 50 2.8× 17 279

Countries citing papers authored by Lawrence J. Mazlack

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Chen, Ye, Lawrence J. Mazlack, Ali A. Minai, & Long Lu. (2015). Inferring causal networks using fuzzy cognitive maps and evolutionary algorithms with application to gene regulatory network reconstruction. Applied Soft Computing. 37. 667–679. 47 indexed citations
2.
Chen, Ye, Judd Storrs, Lirong Tan, et al.. (2013). Detecting brain structural changes as biomarker from magnetic resonance images using a local feature based SVM approach. Journal of Neuroscience Methods. 221. 22–31. 47 indexed citations
3.
Mazlack, Lawrence J., et al.. (2010). Lexico-syntactic causal pattern text mining. Annual Conference on Computers. 446–451. 1 indexed citations
4.
Klinov, Pavel, Julia M. Taylor, & Lawrence J. Mazlack. (2008). Interval rough mereology and description logic: An approach to formal treatment of imprecision in the Semantic Web ontologies. Web Intelligence and Agent Systems An International Journal. 6(2). 157–174. 1 indexed citations
5.
Taylor, Julia M. & Lawrence J. Mazlack. (2007). An investigation into computational recognition of children's jokes. National Conference on Artificial Intelligence. 1904–1905. 1 indexed citations
6.
Klinov, Pavel & Lawrence J. Mazlack. (2007). On possible applications of rough mereology to handling granularity in ontological knowledge. National Conference on Artificial Intelligence. 1876–1877. 2 indexed citations
7.
Mazlack, Lawrence J. & Julia M. Taylor. (2005). Frames, Coherency Chains and Hierarchical Binding: The Cortical Implementation of Complex Concepts. eScholarship (California Digital Library). 27(27). 1 indexed citations
8.
Mazlack, Lawrence J. & Julia M. Taylor. (2005). Focused Statistical Joke Generation.. International Conference on Artificial Intelligence. 56(1). 165–174. 2 indexed citations
9.
Mazlack, Lawrence J., et al.. (2005). Autonomous granulation using the Mountain Method. International Journal of Intelligent Systems. 20(4). 415–432.
10.
Taylor, Julia M. & Lawrence J. Mazlack. (2004). Computationally Recognizing Wordplay in Jokes. eScholarship (California Digital Library). 26(26). 22 indexed citations
11.
Nevin, Joseph H., et al.. (1991). EXACT: EXpert in analog circuit topology. Expert Systems with Applications. 2(2-3). 137–152. 1 indexed citations
12.
Mazlack, Lawrence J., et al.. (1991). Using existing knowledge sources (cases) to build an expert system. Expert Systems. 8(1). 3–10. 6 indexed citations
13.
Mazlack, Lawrence J., et al.. (1985). A multi-threshold, internal rule representation form used to support user modifiable knowledge-based systems. Data & Knowledge Engineering. 1(4). 327–336. 2 indexed citations
14.
Mazlack, Lawrence J.. (1983). Introducing subprograms as the first control structure in an introductory course. ACM SIGCSE Bulletin. 15(1). 265–270. 2 indexed citations
15.
Mazlack, Lawrence J.. (1983). Structured Problem-Solving With Pascal. Medical Entomology and Zoology. 1 indexed citations
16.
Mazlack, Lawrence J., et al.. (1982). A mechanism for natural language access to database systems. ACM SIGART Bulletin. 44–45. 1 indexed citations
17.
Mazlack, Lawrence J., et al.. (1980). Establishing a basis for mapping natural-language statements onto a database query language. International ACM SIGIR Conference on Research and Development in Information Retrieval. 192–202.
18.
Mazlack, Lawrence J.. (1980). Identifying potential to acquire programming skill. Communications of the ACM. 23(1). 14–17. 33 indexed citations
19.
Mazlack, Lawrence J.. (1977). Developing computer awareness. ACM SIGCSE Bulletin. 9(1). 184–187.
20.
Mazlack, Lawrence J.. (1976). Computer construction of crossword puzzles using precedence relationships. Artificial Intelligence. 7(1). 1–19. 9 indexed citations

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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