Mayer E. Aladjem
Impact in
- Signal Processing top 2%
- Biometric Identification and Security
- Statistics and Probability top 5%
- Statistical Methods and Applications
- Statistical Methods and Inference
Papers in
-
- Statistical Methods and Applications 16
-
- Neural Networks and Applications 11
- Bayesian Methods and Mixture Models 6
- Co-authors
- Shlomo Greenberg (2 shared papers)Boaz Lerner (4 shared papers)Hugo Guterman (4 shared papers)Its'Hak Dinstein (5 shared papers)Tomer Lancewicki (2 shared papers)Yitzhak Romem (2 shared papers)Joseph Tabrikian (1 shared paper)Stanley R. Rotman (2 shared papers)
- Journals
- Pattern Recognition Letters (5 papers)Pattern Recognition (4 papers)Neurocomputing (2 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (2 papers)
- Partner nations
- IsraelUnited KingdomItaly
In The Last Decade
Mayer E. Aladjem
36 papers receiving 702 citations
Peers
Comparison fields: 5 of 71
- Signal Processing 221
- Statistics and Probability 105
- Computer Vision and Pattern Recognition 156
- Artificial Intelligence 206
- Mechanics of Materials 64
Countries citing papers authored by Mayer E. Aladjem
This map shows the geographic impact of Mayer E. Aladjem'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 Mayer E. Aladjem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayer E. Aladjem more than expected).
Fields of papers citing papers by Mayer E. Aladjem
This network shows the impact of papers produced by Mayer E. Aladjem. 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 Mayer E. Aladjem. The network helps show where Mayer E. Aladjem may publish in the future.
Co-authors
The 11 scholars most cited alongside Mayer E. Aladjem, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 133 | |
| 2 | 2002 | 86 | |
| 3 | 2009 | 80 | |
| 4 | 1999 | 68 | |
| 5 | 2010 | 49 | |
| 6 | 1998 | 39 | |
| 7 | 1997 | 32 | |
| 8 | 2014 | 31 | |
| 9 | 1996 | 24 | |
| 10 | 1998 | 20 | |
| 11 | 2005 | 20 | |
| 12 | 2004 | 18 | |
| 13 | 1991 | 17 | |
| 14 | 2013 | 16 | |
| 15 | 1994 | 15 | |
| 16 | 2011 | 14 | |
| 17 | 2000 | 13 | |
| 18 | 2007 | 12 | |
| 19 | 2005 | 11 | |
| 20 | 2018 | 11 |
About Mayer E. Aladjem
Mayer E. Aladjem is a scholar working on Statistics and Probability, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 40 papers that have together received 763 indexed citations. Recurring topics across this work include Statistical Methods and Applications (16 papers), Neural Networks and Applications (11 papers), Face and Expression Recognition (9 papers), Bayesian Methods and Mixture Models (6 papers), Remote-Sensing Image Classification (3 papers), Ultrasonics and Acoustic Wave Propagation (3 papers), Biometric Identification and Security (2 papers) and Data Mining and Machine Learning Applications (2 papers). The work is most often cited by research in Signal Processing (221 citations), Statistics and Probability (105 citations), Computer Vision and Pattern Recognition (156 citations), Artificial Intelligence (206 citations) and Mechanics of Materials (64 citations). Mayer E. Aladjem has collaborated with scholars based in Israel, United Kingdom and Italy. Frequent co-authors include Shlomo Greenberg, Boaz Lerner, Hugo Guterman, Its'Hak Dinstein, Tomer Lancewicki, Yitzhak Romem, Joseph Tabrikian, Stanley R. Rotman, Marco Diani and Stefania Matteoli. Their work appears in journals such as Pattern Recognition Letters, Pattern Recognition, Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control.
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.