Mark Last
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Artificial Intelligence top 0.5%
- Advanced Text Analysis Techniques
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
- Topic Modeling
Papers in
-
- Data Stream Mining Techniques 20
- Topic Modeling 19
- Advanced Text Analysis Techniques 19
- Machine Learning and Data Classification 19
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- Data Mining Algorithms and Applications 22
- Web Data Mining and Analysis 17
- Co-authors
- Abraham Kandel (58 shared papers)Horst Bunke (21 shared papers)Marina Litvak (14 shared papers)Oded Maimon (19 shared papers)Adam Schenker (17 shared papers)Dima Alberg (6 shared papers)Menahem Friedman (10 shared papers)Lior Cohen (3 shared papers)
- Journals
- International Journal of Intelligent Systems (5 papers)PLoS ONE (4 papers)Information Sciences (4 papers)Fuzzy Sets and Systems (4 papers)Lecture notes in computer science (25 papers)
- Partner nations
- IsraelUnited StatesSwitzerland
In The Last Decade
Mark Last
176 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 154
- Software 342
- Artificial Intelligence 2.1k
- Signal Processing 653
- Information Systems 921
- Computer Vision and Pattern Recognition 455
Countries citing papers authored by Mark Last
This map shows the geographic impact of Mark Last'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 Mark Last with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Last more than expected).
Fields of papers citing papers by Mark Last
This network shows the impact of papers produced by Mark Last. 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 Mark Last. The network helps show where Mark Last may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Last, 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 189 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 212 | |
| 2 | 2008 | 203 | |
| 3 | 2004 | 195 | |
| 4 | 2001 | 149 | |
| 5 | 2005 | 113 | |
| 6 | 2002 | 105 | |
| 7 | 2001 | 95 | |
| 8 | 2002 | 87 | |
| 9 | 2013 | 81 | |
| 10 | 2005 | 72 | |
| 11 | 2004 | 68 | |
| 12 | 2018 | 65 | |
| 13 | 2004 | 64 | |
| 14 | 2004 | 56 | |
| 15 | 2004 | 54 | |
| 16 | 2005 | 52 | |
| 17 | 2002 | 50 | |
| 18 | 2003 | 47 | |
| 19 | 2003 | 47 | |
| 20 | 2017 | 45 |
About Mark Last
Mark Last is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Vision and Pattern Recognition and Software, having authored 189 papers that have together received 3.6k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (22 papers), Data Management and Algorithms (21 papers), Data Stream Mining Techniques (20 papers), Topic Modeling (19 papers), Advanced Text Analysis Techniques (19 papers), Machine Learning and Data Classification (19 papers), Time Series Analysis and Forecasting (18 papers) and Web Data Mining and Analysis (17 papers). The work is most often cited by research in Software (342 citations), Artificial Intelligence (2.1k citations), Signal Processing (653 citations), Information Systems (921 citations) and Computer Vision and Pattern Recognition (455 citations). Mark Last has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Abraham Kandel, Horst Bunke, Marina Litvak, Oded Maimon, Adam Schenker, Dima Alberg, Menahem Friedman, Lior Cohen, Indrė Žliobaitė and Dan E. Tamir. Their work appears in journals such as International Journal of Intelligent Systems, PLoS ONE, Information Sciences, Fuzzy Sets and Systems and Lecture notes in computer science.
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.