Michael A. Zmuda

400 total citations
25 papers, 267 citations indexed

About

Michael A. Zmuda is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Michael A. Zmuda has authored 25 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Human-Computer Interaction. Recurrent topics in Michael A. Zmuda's work include Neural Networks and Applications (9 papers), Evolutionary Algorithms and Applications (8 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Michael A. Zmuda is often cited by papers focused on Neural Networks and Applications (9 papers), Evolutionary Algorithms and Applications (8 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Michael A. Zmuda collaborates with scholars based in United States. Michael A. Zmuda's co-authors include E.R. Bachmann, Eric Hodgson, Louis A. Tamburino, Mateen M. Rizki, Mark D. Wheeler, James Calusdian, David Waller, Xiaoping Yun, Claude C. Grigsby and Y. Jade Morton and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computers & Education and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Michael A. Zmuda

23 papers receiving 256 citations

Peers

Michael A. Zmuda

CVPR

Daniel Carton Germany

Israel Becerra Mexico

Amanda Duarte Spain

Vicky Kalogeiton France

Maria Shugrina Canada

Salil Banerjee United States

A. Belén Moreno Spain

Etienne Colle France

Kishor Sarawadekar India

Jorge C. S. Cardoso Portugal

Daniel Carton Germany

Michael A. Zmuda

115 ×0.9

140 ×1.4

CVPR

28 ×0.3

31 ×0.4

23 ×0.7

Citations per year, relative to Michael A. Zmuda Michael A. Zmuda (= 1×) peers Daniel Carton

Countries citing papers authored by Michael A. Zmuda

Since Specialization

Citations

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

Fields of papers citing papers by Michael A. Zmuda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael A. Zmuda

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Zmuda. A scholar is included among the top collaborators of Michael A. Zmuda 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 Michael A. Zmuda. Michael A. Zmuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zmuda, Michael A.. (2024). A Software Framework Based on JUnit for Automated Software Testing in Computer Science Courses. 1–8.

Cross, Valerie, Michael A. Zmuda, Rahul Paul, & Lawrence Hall. (2020). Fuzzy Set Similarity for Feature Selection in Classification. 3. 1–8.

Hodgson, Eric, et al.. (2014). WeaVR: a self-contained and wearable immersive virtual environment simulation system. Behavior Research Methods. 47(1). 296–307. 30 indexed citations

Zmuda, Michael A., et al.. (2013). Optimizing Constrained-Environment Redirected Walking Instructions Using Search Techniques. IEEE Transactions on Visualization and Computer Graphics. 19(11). 1872–1884. 90 indexed citations

Grigsby, Claude C., et al.. (2012). Differential profiling of volatile organic compound biomarker signatures utilizing a logical statistical filter-set and novel hybrid evolutionary classifiers. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8402. 84020K–84020K. 3 indexed citations

Bachmann, E.R., Michael A. Zmuda, James Calusdian, et al.. (2012). Going anywhere anywhere: Creating a low cost portable immersive VE system. 108–115. 8 indexed citations

Zmuda, Michael A., et al.. (2008). Robot Localization Using RE and Inertial Sensors. 1 indexed citations

Zmuda, Michael A., et al.. (2005). Scheduling topics for improved student comprehension of recursion. Computers & Education. 48(2). 318–328. 2 indexed citations

Tamburino, Louis A., Mateen M. Rizki, & Michael A. Zmuda. (2003). Computational resource management in supervised learning systems. Zenodo (CERN European Organization for Nuclear Research). 1074–1079. 1 indexed citations

10.

Zmuda, Michael A., Mateen M. Rizki, & Louis A. Tamburino. (2003). Hybrid evolutionary learning for synthesizing multi-class pattern recognition systems. Applied Soft Computing. 2(4). 269–282. 8 indexed citations

11.

Rizki, Mateen M., Louis A. Tamburino, & Michael A. Zmuda. (2002). Multi-resolution feature extraction from Gabor filtered images. 93. 819–824. 2 indexed citations

12.

Wheeler, Mark D. & Michael A. Zmuda. (2002). Processing color and complex data using mathematical morphology. 618–624. 11 indexed citations

13.

Rizki, Mateen M., Louis A. Tamburino, & Michael A. Zmuda. (2002). A study of morphological feature detector complexity and character recognition rates. 1132–1138. 1 indexed citations

14.

Zmuda, Michael A., Louis A. Tamburino, & Mateen M. Rizki. (1996). An evolutionary learning system for synthesizing complex morphological filters. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 26(4). 645–653. 6 indexed citations

15.

Zmuda, Michael A. & Louis A. Tamburino. (1996). Efficient algorithms for the soft morphological operators. IEEE Transactions on Pattern Analysis and Machine Intelligence. 18(11). 1142–1147. 7 indexed citations

16.

Tamburino, Louis A., Michael A. Zmuda, & Mateen M. Rizki. (1995). Generating pattern-recognition systems using evolutionary learning. IEEE Expert. 10(4). 63–68. 4 indexed citations

17.

Zmuda, Michael A. & Mateen M. Rizki. (1992). Automatic generation of morphological programs. 2 indexed citations

18.

Zmuda, Michael A., Louis A. Tamburino, & Mateen M. Rizki. (1992). <title>Automatic generation of morphological sequences</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1769. 106–118. 7 indexed citations

19.

Rizki, Mateen M., Louis A. Tamburino, & Michael A. Zmuda. (1991). <title>Applications of learning strategies to pattern recognition</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 384–391. 2 indexed citations

20.

Rizki, Mateen M., Louis A. Tamburino, & Michael A. Zmuda. (1990). <title>Adaptive search for morphological feature detectors</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1350. 150–159. 6 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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