Vaibhav Anu
Impact in
- Software top 5%
- Software Reliability and Analysis Research
-
- Occupational Health and Safety Research
Papers in
-
- Software Engineering Research 18
- Software Engineering Techniques and Practices 15
- Software 12
- Software Reliability and Analysis Research 12
- Co-authors
- Gursimran Walia (15 shared papers)Gary Bradshaw (9 shared papers)Jeffrey C. Carver (9 shared papers)Kazi Zakia Sultana (9 shared papers)Aparna S. Varde (6 shared papers)Gary L. Bradshaw (3 shared papers)Anurag Goswami (1 shared paper)Maninder Singh (2 shared papers)
- Journals
- Information and Software Technology (1 paper)Empirical Software Engineering (1 paper)ACM SIGMOD Record (1 paper)Information Security Journal A Global Perspective (2 papers)SN Computer Science (2 papers)
- Partner nations
- United StatesIndiaNigeria
In The Last Decade
Vaibhav Anu
33 papers receiving 250 citations
Peers
Comparison fields: 5 of 61
- Software 72
- Radiological and Ultrasound Technology 44
- Information Systems 182
- Statistics, Probability and Uncertainty 29
- Signal Processing 38
Countries citing papers authored by Vaibhav Anu
This map shows the geographic impact of Vaibhav Anu'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 Vaibhav Anu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vaibhav Anu more than expected).
Fields of papers citing papers by Vaibhav Anu
This network shows the impact of papers produced by Vaibhav Anu. 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 Vaibhav Anu. The network helps show where Vaibhav Anu may publish in the future.
Co-authors
The 19 scholars most cited alongside Vaibhav Anu, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 48 | |
| 2 | 2020 | 31 | |
| 3 | 2018 | 21 | |
| 4 | 2016 | 18 | |
| 5 | 2018 | 14 | |
| 6 | 2016 | 11 | |
| 7 | 2016 | 10 | |
| 8 | 2021 | 9 | |
| 9 | 2017 | 9 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2018 | 5 |
About Vaibhav Anu
Vaibhav Anu is a scholar working on Information Systems, Software, Radiological and Ultrasound Technology, Statistics, Probability and Uncertainty and Computer Networks and Communications, having authored 47 papers that have together received 265 indexed citations. Recurring topics across this work include Software Engineering Research (18 papers), Software Engineering Techniques and Practices (15 papers), Software Reliability and Analysis Research (12 papers), Occupational Health and Safety Research (10 papers), Risk and Safety Analysis (8 papers), Human-Automation Interaction and Safety (5 papers), Teaching and Learning Programming (5 papers) and Advanced Malware Detection Techniques (5 papers). The work is most often cited by research in Software (72 citations), Radiological and Ultrasound Technology (44 citations), Information Systems (182 citations), Statistics, Probability and Uncertainty (29 citations) and Signal Processing (38 citations). Vaibhav Anu has collaborated with scholars based in United States, India and Nigeria. Frequent co-authors include Gursimran Walia, Gary Bradshaw, Jeffrey C. Carver, Kazi Zakia Sultana, Aparna S. Varde, Gary L. Bradshaw, Anurag Goswami, Maninder Singh, Mohammad A. Y. Alqudah and Darsh Patel. Their work appears in journals such as Information and Software Technology, Empirical Software Engineering, ACM SIGMOD Record, Information Security Journal A Global Perspective and SN Computer Science.
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.