Vaibhav Anu

481 total citations
44 papers, 255 citations indexed

About

Vaibhav Anu is a scholar working on Information Systems, Radiological and Ultrasound Technology and Software. According to data from OpenAlex, Vaibhav Anu has authored 44 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Information Systems, 10 papers in Radiological and Ultrasound Technology and 10 papers in Software. Recurrent topics in Vaibhav Anu's work include Software Engineering Research (16 papers), Software Engineering Techniques and Practices (13 papers) and Occupational Health and Safety Research (10 papers). Vaibhav Anu is often cited by papers focused on Software Engineering Research (16 papers), Software Engineering Techniques and Practices (13 papers) and Occupational Health and Safety Research (10 papers). Vaibhav Anu collaborates with scholars based in United States, India and Nigeria. Vaibhav Anu's co-authors include Gursimran Walia, Gary Bradshaw, Jeffrey C. Carver, Kazi Zakia Sultana, Aparna S. Varde, Gary L. Bradshaw, Anurag Goswami, Maninder Singh, Niket Tandon and Bharath K. Samanthula and has published in prestigious journals such as ACM SIGMOD Record, Information and Software Technology and Empirical Software Engineering.

In The Last Decade

Vaibhav Anu

32 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vaibhav Anu United States 8 177 71 57 44 37 44 255
Yudistira Asnar Indonesia 9 187 1.1× 52 0.7× 105 1.8× 2 0.0× 52 1.4× 44 257
Sam Supakkul United States 9 202 1.1× 42 0.6× 161 2.8× 4 0.1× 6 0.2× 30 256
Denis Hatebur Germany 8 112 0.6× 50 0.7× 88 1.5× 1 0.0× 35 0.9× 19 163
Janusz Górski Poland 10 115 0.6× 82 1.2× 39 0.7× 1 0.0× 5 0.1× 54 254
Timothy Kelly United Kingdom 5 51 0.3× 128 1.8× 34 0.6× 10 0.2× 6 0.2× 9 244
Phil Milliman United States 5 284 1.6× 190 2.7× 101 1.8× 3 0.1× 7 0.2× 7 316
Elizabeth Fong United States 9 144 0.8× 54 0.8× 72 1.3× 64 1.7× 24 216
Mohamed Almorsy Australia 10 256 1.4× 50 0.7× 128 2.2× 64 1.7× 21 306
Md. Asraful Haque India 9 109 0.6× 123 1.7× 35 0.6× 16 0.4× 27 251
Jonas Eckhardt Germany 9 140 0.8× 42 0.6× 92 1.6× 1 0.0× 5 0.1× 18 205

Countries citing papers authored by Vaibhav Anu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Vaibhav Anu

This figure shows the co-authorship network connecting the top 25 collaborators of Vaibhav Anu. A scholar is included among the top collaborators of Vaibhav Anu 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 Vaibhav Anu. Vaibhav Anu 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
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Anu, Vaibhav, et al.. (2024). Oral Health Misinformation on Youtube – A Content Analysis. Journal of Pharmacy And Bioallied Sciences. 16(Suppl 5). S4507–S4510.
4.
Marlowe, Thomas J., et al.. (2024). Board 326: K-12 Teachers and Data Science: Learning Interdiscplinary Science Through Research Experiences. Papers on Engineering Education Repository (American Society for Engineering Education).
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Patel, Darsh, et al.. (2023). Programmer Cognition Failures as the Root Cause of Software Vulnerabilities: A Preliminary Review. 33. 242–246. 2 indexed citations
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Sultana, Kazi Zakia, et al.. (2023). Using software metrics for predicting vulnerable classes in java and python based systems. Information Security Journal A Global Perspective. 33(3). 251–267.
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Anu, Vaibhav, et al.. (2022). Professional and Capacity Building in K-12 Computer Science Education. 1384–1384. 1 indexed citations
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Anu, Vaibhav, et al.. (2021). Disparities in the Quality of Life Among Smokers, Nonsmokers, and Ex-smokers. Journal of Datta Meghe Institute of Medical Sciences University. 16(1). 144–148.
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Anu, Vaibhav, et al.. (2021). Understanding the Information Disseminated Using Twitter During the COVID-19 Pandemic. vl. 1–6. 6 indexed citations
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Anu, Vaibhav, et al.. (2021). Automating the Classification of Requirements Data. 2021 IEEE International Conference on Big Data (Big Data). 5878–5880. 5 indexed citations
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Sultana, Kazi Zakia, et al.. (2020). Using software metrics for predicting vulnerable classes and methods in Java projects: A machine learning approach. Journal of Software Evolution and Process. 33(3). 31 indexed citations
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Carver, Jeffrey C., et al.. (2018). Using human error information for error prevention. Empirical Software Engineering. 23(6). 3768–3800. 21 indexed citations
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Carver, Jeffrey C., et al.. (2017). Understanding Human Errors in Software Requirements: An Online Survey. 1 indexed citations
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Anu, Vaibhav, et al.. (2017). Issues and Opportunities for Human Error-Based Requirements Inspections: An Exploratory Study. 460–465. 3 indexed citations
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Anu, Vaibhav, Gursimran Walia, & Gary Bradshaw. (2017). Incorporating Human Error Education into Software Engineering Courses via Error-based Inspections. 39–44. 9 indexed citations
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Anu, Vaibhav, et al.. (2017). Using Human Error Abstraction Method for Detecting and Classifying Requirements Errors: A Live Study.. 1796. 1 indexed citations
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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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