Abish Malik

616 total citations
30 papers, 430 citations indexed

About

Abish Malik is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Abish Malik has authored 30 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 8 papers in Sociology and Political Science. Recurrent topics in Abish Malik's work include Data Visualization and Analytics (22 papers), Geographic Information Systems Studies (7 papers) and Anomaly Detection Techniques and Applications (7 papers). Abish Malik is often cited by papers focused on Data Visualization and Analytics (22 papers), Geographic Information Systems Studies (7 papers) and Anomaly Detection Techniques and Applications (7 papers). Abish Malik collaborates with scholars based in United States, South Korea and United Kingdom. Abish Malik's co-authors include David S. Ebert, Ross Maciejewski, Yun Jang, Sherry Towers, Junghoon Chae, Shehzad Afzal, Niklas Elmqvist, Sungahn Ko, Ben Maule and Kristen L. Beck and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Visualization and Computer Graphics and Organizational Research Methods.

In The Last Decade

Abish Malik

28 papers receiving 413 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Abish Malik United States 12 256 103 95 77 47 30 430
Chris Weaver United States 14 476 1.9× 187 1.8× 103 1.1× 156 2.0× 30 0.6× 43 750
Yukiko Kawai Japan 13 81 0.3× 139 1.3× 109 1.1× 56 0.7× 109 2.3× 110 532
Anuj Jaiswal United States 9 103 0.4× 170 1.7× 120 1.3× 49 0.6× 81 1.7× 17 478
Guodao Sun China 10 312 1.2× 111 1.1× 58 0.6× 85 1.1× 80 1.7× 27 442
Slava Kisilevich Germany 11 143 0.6× 136 1.3× 163 1.7× 170 2.2× 231 4.9× 18 640
Scott Pezanowski United States 11 166 0.6× 176 1.7× 99 1.0× 119 1.5× 132 2.8× 23 626
Stephen Rudolph United States 6 177 0.7× 68 0.7× 35 0.4× 59 0.8× 41 0.9× 8 295
Miloš Krstajić Germany 10 292 1.1× 124 1.2× 71 0.7× 94 1.2× 44 0.9× 16 419
Hansi Senaratne Germany 6 172 0.7× 117 1.1× 56 0.6× 166 2.2× 177 3.8× 17 655
Harald Bosch Germany 8 356 1.4× 158 1.5× 60 0.6× 112 1.5× 201 4.3× 17 640

Countries citing papers authored by Abish Malik

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Abish Malik

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

All Works

20 of 20 papers shown
1.
Towers, Sherry, et al.. (2018). Factors influencing temporal patterns in crime in a large American city: A predictive analytics perspective. PLoS ONE. 13(10). e0205151–e0205151. 35 indexed citations
2.
Du, Yi, et al.. (2018). A Correlation Visual Analytics System for Air Quality. Chinese Journal of Electronics. 27(5). 920–926. 2 indexed citations
3.
Malik, Abish, Ross Maciejewski, Zhenyu Cheryl Qian, et al.. (2018). A Multi-Scale Correlative Approach for Crowd-Sourced Multi-Variate Spatiotemporal Data. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 2 indexed citations
4.
Malik, Abish, et al.. (2017). Social Media Visual Analytic Toolkits for Disaster Management: A Review of the Literature.. ISCRAM. 8 indexed citations
5.
Tay, Louis, Vincent Ng, Abish Malik, et al.. (2017). Big Data Visualizations in Organizational Science. Organizational Research Methods. 21(3). 660–688. 21 indexed citations
6.
Wang, Guizhen, et al.. (2017). TraSeer: A visual analytics tool for vessel movements in the coastal areas. 1–6. 10 indexed citations
7.
Chae, Junghoon, et al.. (2016). Visual analytics for investigative analysis of hoax distress calls using social media. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 4. 1–6. 1 indexed citations
8.
Zhang, Jiawei, et al.. (2016). A Visual Analytics Framework for Microblog Data Analysis at Multiple Scales of Aggregation. Computer Graphics Forum. 35(3). 441–450. 16 indexed citations
9.
Malik, Abish, et al.. (2015). Safety in view: A public safety visual analytics tool based on CCTV camera angles of view. 37. 1–6. 4 indexed citations
10.
Zhao, J. L., Guizhen Wang, Junghoon Chae, et al.. (2015). ParkAnalyzer: Characterizing the movement patterns of visitors VAST 2015 Mini-Challenge 1. 96. 179–180. 3 indexed citations
11.
Chae, Junghoon, Jiawei Zhang, J. L. Zhao, et al.. (2015). Visual analytics of heterogeneous data for criminal event analysis VAST challenge 2015: Grand challenge. 96. 149–150. 3 indexed citations
12.
Malik, Abish, et al.. (2014). Proactive Spatiotemporal Resource Allocation and Predictive Visual Analytics for Community Policing and Law Enforcement. IEEE Transactions on Visualization and Computer Graphics. 20(12). 1863–1872. 67 indexed citations
13.
Afzal, Shehzad, Simon Walton, Yang Yang, et al.. (2014). Analyzing High-dimensional Multivariate Network Links with Integrated Anomaly Detection, Highlighting and Exploration. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 83–92. 25 indexed citations
14.
Kim, SungYe, Ross Maciejewski, Abish Malik, et al.. (2013). Bristle Maps: A Multivariate Abstraction Technique for Geovisualization. IEEE Transactions on Visualization and Computer Graphics. 19(9). 1438–1454. 24 indexed citations
15.
Malik, Abish, et al.. (2012). A correlative analysis process in a visual analytics environment. 33–42. 35 indexed citations
16.
Malik, Abish, Ross Maciejewski, Yun Jang, et al.. (2012). A visual analytics process for maritime response, resource allocation and risk assessment. Information Visualization. 13(2). 93–110. 10 indexed citations
17.
Malik, Abish, et al.. (2011). Describing Temporal Correlation Spatially in a Visual Analytics Environment. 1–8. 6 indexed citations
18.
Malik, Abish, Ross Maciejewski, Ben Maule, & David S. Ebert. (2011). A visual analytics process for maritime resource allocation and risk assessment. 221–230. 28 indexed citations
19.
Malik, Abish, et al.. (2010). Visual Analytics Law Enforcement Toolkit. Purdue e-Pubs (Purdue University System). 222–228. 23 indexed citations
20.

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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