Ajay Chander
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
-
- Security and Verification in Computing 8
- Explainable Artificial Intelligence (XAI) 4
-
- Web Application Security Vulnerabilities 4
- Co-authors
- Dachuan Yu (5 shared papers)Nayeem Islam (3 shared papers)Ramya Srinivasan (3 shared papers)Dinakar Dhurjati (2 shared papers)Hiroshi Inamura (4 shared papers)Zhendong Su (1 shared paper)Gary Wassermann (1 shared paper)John C. Mitchell (4 shared papers)
- Journals
- Communications of the ACM (1 paper)ACM SIGPLAN Notices (1 paper)Journal of Computer Security (1 paper)Queue (1 paper)ACM Transactions on Programming Languages and Systems (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Ajay Chander
18 papers receiving 477 citations
Peers
Comparison fields: 5 of 66
- Software 132
- Signal Processing 224
- Health Informatics 28
- Information Systems 323
- Artificial Intelligence 319
Countries citing papers authored by Ajay Chander
This map shows the geographic impact of Ajay Chander'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 Ajay Chander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajay Chander more than expected).
Fields of papers citing papers by Ajay Chander
This network shows the impact of papers produced by Ajay Chander. 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 Ajay Chander. The network helps show where Ajay Chander may publish in the future.
Co-authors
The 22 scholars most cited alongside Ajay Chander, 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 | 2008 | 125 | |
| 2 | 2007 | 124 | |
| 3 | 2007 | 85 | |
| 4 | 2021 | 55 | |
| 5 | 2002 | 27 | |
| 6 | 2020 | 23 | |
| 7 | 2005 | 18 | |
| 8 | 2021 | 16 | |
| 9 | Working with Beliefs: AI Transparency in the Enterprise. | 2018 | 13 |
| 10 | 2011 | 9 | |
| 11 | 2008 | 7 | |
| 12 | 2019 | 5 | |
| 13 | 2014 | 5 | |
| 14 | 2007 | 4 | |
| 15 | 2016 | 4 | |
| 16 | 2004 | 4 | |
| 17 | 2010 | 2 | |
| 18 | A constructive design methodology for trust management systems | 2003 | 1 |
| 19 | 2007 | 1 | |
| 20 | 2009 | 0 |
About Ajay Chander
Ajay Chander is a scholar working on Artificial Intelligence, Information Systems, Sociology and Political Science, Signal Processing and Safety Research, having authored 20 papers that have together received 528 indexed citations. Recurring topics across this work include Security and Verification in Computing (8 papers), Explainable Artificial Intelligence (XAI) (4 papers), Advanced Malware Detection Techniques (4 papers), Web Application Security Vulnerabilities (4 papers), Access Control and Trust (3 papers), Ethics and Social Impacts of AI (3 papers), Behavioral and Psychological Studies (2 papers) and Software Testing and Debugging Techniques (2 papers). The work is most often cited by research in Software (132 citations), Signal Processing (224 citations), Health Informatics (28 citations), Information Systems (323 citations) and Artificial Intelligence (319 citations). Ajay Chander has collaborated with scholars based in United States and Germany. Frequent co-authors include Dachuan Yu, Nayeem Islam, Ramya Srinivasan, Dinakar Dhurjati, Hiroshi Inamura, Zhendong Su, Gary Wassermann, John C. Mitchell, Insik Shin and Ramya Srinivasan. Their work appears in journals such as Communications of the ACM, ACM SIGPLAN Notices, Journal of Computer Security, Queue and ACM Transactions on Programming Languages and Systems.
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.