Vachik S. Dave
- Software top 5%
- Software Reliability and Analysis Research 5
- Information Systems top 5%
- Software Engineering Research 5
- Recommender Systems and Techniques 3
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- Complex Network Analysis Techniques 4
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks 5
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- Software System Performance and Reliability 2
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- Data Quality and Management 2
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- Bioinformatics and Genomic Networks 2
- Co-authors
- Kamlesh DuttaMohammad Al HasanMohammed KorayemKimford J. MeadorJ AllisonDavid W. LoringJay J. PillaiNesreen K. Ahmed
- Journals
- Artificial Intelligence Review (1 paper)Epilepsy & Behavior (1 paper)Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Vachik S. Dave
15 papers receiving 311 citations
Peers
Comparison fields: 5 of 109
- Software 59
- Information Systems 125
- Statistical and Nonlinear Physics 44
- Artificial Intelligence 101
- Cognitive Neuroscience 39
Countries citing papers authored by Vachik S. Dave
This map shows the geographic impact of Vachik S. Dave'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 Vachik S. Dave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vachik S. Dave more than expected).
Fields of papers citing papers by Vachik S. Dave
This network shows the impact of papers produced by Vachik S. Dave. 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 Vachik S. Dave. The network helps show where Vachik S. Dave may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Vachik S. Dave, 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 | 2024 | 0 | |
| 2 | 2021 | 2 | |
| 3 | 2019 | 5 | |
| 4 | 2019 | 2 | |
| 5 | 2018 | 5 | |
| 6 | 2018 | 44 | |
| 7 | How Fast Will You Get a Response? Predicting Interval Time for Reciprocal Link Creation | 2017 | 1 |
| 8 | 2017 | 52 | |
| 9 | 2017 | 2 | |
| 10 | 2017 | 6 | |
| 11 | 2017 | 11 | |
| 12 | 2012 | 113 | |
| 13 | 2011 | 21 | |
| 14 | Application of Feed-Forward Neural Network in Estimation of Software Effort | 2011 | 7 |
| 15 | 2011 | 12 | |
| 16 | 2002 | 50 |
About Vachik S. Dave
Vachik S. Dave is a scholar working on Software, Information Systems and Statistical and Nonlinear Physics, having authored 16 papers that have together received 333 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (5 papers), Software Engineering Research (5 papers), Advanced Graph Neural Networks (5 papers), Complex Network Analysis Techniques (4 papers), Recommender Systems and Techniques (3 papers), Software System Performance and Reliability (2 papers), Data Quality and Management (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Software (59 citations), Information Systems (125 citations) and Statistical and Nonlinear Physics (44 citations). Vachik S. Dave has collaborated with scholars based in United States and India. Frequent co-authors include Kamlesh Dutta, Mohammad Al Hasan, Mohammed Korayem, Kimford J. Meador, J Allison, David W. Loring, Jay J. Pillai, Nesreen K. Ahmed, Faizan Javed and Chandan K. Reddy. Their work appears in journals such as Artificial Intelligence Review, Epilepsy & Behavior and Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery.
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.