Marc K. Albert
Impact in
- Artificial Intelligence top 0.2%
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Machine Learning and Algorithms
- Anomaly Detection Techniques and Applications
- Text and Document Classification Technologies
- Data Stream Mining Techniques
- Signal Processing top 1%
Papers in
-
- Visual perception and processing mechanisms 14
- Neural dynamics and brain function 2
-
- Visual Attention and Saliency Detection 4
- Advanced Vision and Imaging 3
- Co-authors
- David W. AhaDennis KiblerPeter U. TseDonald D. HoffmanScott P. JohnsonManish SinghDaniel GuidottiH.J. Hovel
- Journals
- Perception (8 papers)Psychological Review (2 papers)Trends in Cognitive Sciences (2 papers)Vision Research (2 papers)Machine Learning (2 papers)
- Partner nations
- United StatesUnited KingdomIndonesia
In The Last Decade
Marc K. Albert
25 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Artificial Intelligence 3.1k
- Signal Processing 554
- Computer Vision and Pattern Recognition 1.0k
- Information Systems 1.1k
- Software 177
Countries citing papers authored by Marc K. Albert
This map shows the geographic impact of Marc K. Albert'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 Marc K. Albert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc K. Albert more than expected).
Fields of papers citing papers by Marc K. Albert
This network shows the impact of papers produced by Marc K. Albert. 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 Marc K. Albert. The network helps show where Marc K. Albert may publish in the future.
Co-authors
The 12 scholars most cited alongside Marc K. Albert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 5 | |
| 2 | 2008 | 2 | |
| 3 | 2007 | 21 | |
| 4 | 2007 | 8 | |
| 5 | 2006 | 7 | |
| 6 | 2003 | 6 | |
| 7 | 2001 | 13 | |
| 8 | 2001 | 27 | |
| 9 | 2000 | 7 | |
| 10 | 2000 | 20 | |
| 11 | 1999 | 6 | |
| 12 | 1999 | 28 | |
| 13 | 1998 | 27 | |
| 14 | The Role of Genericity in the Perception of Illusory Contours | 1992 | 2 |
| 15 | Analyses of instance-based learning algorithms | 1991 | 15 |
| 16 | Instance-based learning algorithms Hit paper breakdown → | 1991 | 2260 |
| 17 | Instance-Based Learning Algorithms Hit paper breakdown → | 1991 | 2768 |
| 18 | 1989 | 1 | |
| 19 | 1989 | 97 | |
| 20 | 1987 | 24 |
About Marc K. Albert
Marc K. Albert is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Social Psychology and History and Philosophy of Science, having authored 26 papers that have together received 5.4k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (14 papers), Color Science and Applications (8 papers), Color perception and design (6 papers), Machine Learning and Data Classification (5 papers), Visual Attention and Saliency Detection (4 papers), Machine Learning and Algorithms (3 papers), Advanced Vision and Imaging (3 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Artificial Intelligence (3.1k citations), Signal Processing (554 citations), Computer Vision and Pattern Recognition (1.0k citations), Information Systems (1.1k citations) and Software (177 citations). Marc K. Albert has collaborated with scholars based in United States, United Kingdom and Indonesia. Frequent co-authors include David W. Aha, Dennis Kibler, Peter U. Tse, Donald D. Hoffman, Scott P. Johnson, Manish Singh, Daniel Guidotti, H.J. Hovel, Larry Rendell and Federico Giovannetti. Their work appears in journals such as Perception, Psychological Review, Trends in Cognitive Sciences, Vision Research and Machine Learning.
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.