Abish Malik
Impact in
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- Data Visualization and Analytics
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- Geographic Information Systems Studies
Papers in
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- Data Visualization and Analytics 22
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- Anomaly Detection Techniques and Applications 7
- Co-authors
- David S. Ebert (28 shared papers)Ross Maciejewski (12 shared papers)Yun Jang (7 shared papers)Sherry Towers (4 shared papers)Junghoon Chae (9 shared papers)Shehzad Afzal (7 shared papers)Niklas Elmqvist (4 shared papers)Ben Maule (2 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (2 papers)Computer Graphics Forum (2 papers)Organizational Research Methods (1 paper)Information Visualization (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Abish Malik
28 papers receiving 413 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 256
- Geography, Planning and Development 47
- Signal Processing 77
- Transportation 47
- Ecological Modeling 17
Countries citing papers authored by Abish Malik
This map shows the geographic impact of Abish Malik'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 Abish Malik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abish Malik more than expected).
Fields of papers citing papers by Abish Malik
This network shows the impact of papers produced by Abish Malik. 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 Abish Malik. The network helps show where Abish Malik may publish in the future.
Co-authors
The 25 scholars most cited alongside Abish Malik, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 67 | |
| 2 | 2016 | 48 | |
| 3 | 2012 | 35 | |
| 4 | 2018 | 35 | |
| 5 | 2011 | 28 | |
| 6 | 2014 | 25 | |
| 7 | 2013 | 24 | |
| 8 | 2010 | 23 | |
| 9 | 2017 | 21 | |
| 10 | 2014 | 21 | |
| 11 | 2016 | 16 | |
| 12 | 2015 | 15 | |
| 13 | 2012 | 10 | |
| 14 | 2017 | 10 | |
| 15 | 2017 | 9 | |
| 16 | Social Media Visual Analytic Toolkits for Disaster Management: A Review of the Literature. | 2017 | 8 |
| 17 | 2011 | 6 | |
| 18 | 2016 | 5 | |
| 19 | 2015 | 4 | |
| 20 | 2010 | 4 |
About Abish Malik
Abish Malik is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Sociology and Political Science, Geography, Planning and Development and Epidemiology, having authored 30 papers that have together received 430 indexed citations. Recurring topics across this work include Data Visualization and Analytics (22 papers), Anomaly Detection Techniques and Applications (7 papers), Geographic Information Systems Studies (7 papers), Data-Driven Disease Surveillance (6 papers), Crime Patterns and Interventions (5 papers), Complex Network Analysis Techniques (4 papers), Human Mobility and Location-Based Analysis (4 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (256 citations), Geography, Planning and Development (47 citations), Signal Processing (77 citations), Transportation (47 citations) and Ecological Modeling (17 citations). Abish Malik has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include David S. Ebert, Ross Maciejewski, Yun Jang, Sherry Towers, Junghoon Chae, Shehzad Afzal, Niklas Elmqvist, Ben Maule, Sungahn Ko and Jiawei Zhang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Organizational Research Methods, Information Visualization and PLoS ONE.
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.