Ajay Chander
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
-
- Security and Verification in Computing 11
- Explainable Artificial Intelligence (XAI) 6
- Logic, programming, and type systems 4
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- Access Control and Trust 4
- Multimedia Communication and Technology 3
- Co-authors
- Dachuan Yu (7 shared papers)Nayeem Islam (5 shared papers)Ramya Srinivasan (3 shared papers)Hiroshi Inamura (7 shared papers)Dinakar Dhurjati (3 shared papers)Zeynep Akata (1 shared paper)Andreas Holzinger (1 shared paper)Katharina Holzinger (1 shared paper)
- Journals
- ACM SIGPLAN Notices (1 paper)Queue (1 paper)Communications of the ACM (1 paper)Journal of Computer Security (1 paper)ACM Transactions on Programming Languages and Systems (1 paper)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Ajay Chander
26 papers receiving 842 citations
Peers
Comparison fields: 5 of 93
- Health Informatics 70
- Software 171
- Signal Processing 287
- Information Systems 417
- Artificial Intelligence 593
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 25 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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 197 | |
| 2 | 2007 | 144 | |
| 3 | 2008 | 141 | |
| 4 | 2007 | 95 | |
| 5 | 2021 | 68 | |
| 6 | 2002 | 34 | |
| 7 | 2008 | 29 | |
| 8 | 2020 | 26 | |
| 9 | 2021 | 25 | |
| 10 | 2005 | 25 | |
| 11 | 2005 | 24 | |
| 12 | Working with Beliefs: AI Transparency in the Enterprise. | 2018 | 18 |
| 13 | 2009 | 13 | |
| 14 | 2018 | 12 | |
| 15 | 2011 | 10 | |
| 16 | 2004 | 8 | |
| 17 | 2008 | 8 | |
| 18 | 2005 | 6 | |
| 19 | 2007 | 5 | |
| 20 | 2014 | 5 |
About Ajay Chander
Ajay Chander is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Signal Processing and Computational Theory and Mathematics, having authored 29 papers that have together received 912 indexed citations. Recurring topics across this work include Security and Verification in Computing (11 papers), Explainable Artificial Intelligence (XAI) (6 papers), Formal Methods in Verification (5 papers), Advanced Malware Detection Techniques (5 papers), Web Application Security Vulnerabilities (5 papers), Logic, programming, and type systems (4 papers), Access Control and Trust (4 papers) and Multimedia Communication and Technology (3 papers). The work is most often cited by research in Health Informatics (70 citations), Software (171 citations), Signal Processing (287 citations), Information Systems (417 citations) and Artificial Intelligence (593 citations). Ajay Chander has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Dachuan Yu, Nayeem Islam, Ramya Srinivasan, Hiroshi Inamura, Dinakar Dhurjati, Zeynep Akata, Andreas Holzinger, Katharina Holzinger, Freddy Lécué and Simone Stumpf. Their work appears in journals such as ACM SIGPLAN Notices, Queue, Communications of the ACM, Journal of Computer Security 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.