Arti Arya
Impact in
- Software top 10%
- Software Reliability and Analysis Research
- Signal Processing top 10%
- Data Management and Algorithms
- Music and Audio Processing
Papers in
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- Topic Modeling 6
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- Spam and Phishing Detection 7
- Web Data Mining and Analysis 4
- Co-authors
- M. Lilly Florence (2 shared papers)Pooja Agarwal (6 shared papers)Shivani Agrawal (1 shared paper)Vipul Narayan (1 shared paper)S Abhishek (1 shared paper)T Anjali (1 shared paper)Richa Sharma (1 shared paper)S. Praveena (1 shared paper)
- Journals
- Journal Of Big Data (1 paper)International Journal of Modern Education and Computer Science (2 papers)ACM Transactions on Asian and Low-Resource Language Information Processing (2 papers)SN Computer Science (1 paper)Journal of Advances in Information Technology (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Arti Arya
44 papers receiving 230 citations
Peers
Comparison fields: 5 of 68
- Software 40
- Signal Processing 64
- Information Systems 86
- Transportation 24
- Computer Networks and Communications 53
Countries citing papers authored by Arti Arya
This map shows the geographic impact of Arti Arya'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 Arti Arya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arti Arya more than expected).
Fields of papers citing papers by Arti Arya
This network shows the impact of papers produced by Arti Arya. 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 Arti Arya. The network helps show where Arti Arya may publish in the future.
Co-authors
The 11 scholars most cited alongside Arti Arya, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 42 | |
| 2 | 2020 | 19 | |
| 3 | 2013 | 19 | |
| 4 | 2017 | 17 | |
| 5 | 2018 | 17 | |
| 6 | 2024 | 9 | |
| 7 | 2022 | 9 | |
| 8 | 2020 | 7 | |
| 9 | 2015 | 6 | |
| 10 | 2021 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2017 | 6 | |
| 13 | 2014 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2017 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2013 | 4 |
About Arti Arya
Arti Arya is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 58 papers that have together received 251 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Spam and Phishing Detection (7 papers), Topic Modeling (6 papers), Web Data Mining and Analysis (4 papers), Misinformation and Its Impacts (4 papers), Music and Audio Processing (4 papers), Traffic Prediction and Management Techniques (4 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Software (40 citations), Signal Processing (64 citations), Information Systems (86 citations), Transportation (24 citations) and Computer Networks and Communications (53 citations). Arti Arya has collaborated with scholars based in India and United States. Frequent co-authors include M. Lilly Florence, Pooja Agarwal, Shivani Agrawal, Vipul Narayan, S Abhishek, T Anjali, Richa Sharma, S. Praveena, P. C. Mathur and Harish Kumar. Their work appears in journals such as Journal Of Big Data, International Journal of Modern Education and Computer Science, ACM Transactions on Asian and Low-Resource Language Information Processing, SN Computer Science and Journal of Advances in Information Technology.
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.