Vachik S. Dave

563 total citations
16 papers, 333 citations indexed

About

Vachik S. Dave is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Vachik S. Dave has authored 16 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 8 papers in Artificial Intelligence and 6 papers in Software. Recurrent topics in Vachik S. Dave's work include Software Reliability and Analysis Research (5 papers), Software Engineering Research (5 papers) and Advanced Graph Neural Networks (5 papers). Vachik S. Dave is often cited by papers focused on Software Reliability and Analysis Research (5 papers), Software Engineering Research (5 papers) and Advanced Graph Neural Networks (5 papers). Vachik S. Dave collaborates with scholars based in United States and India. Vachik S. Dave's co-authors include Kamlesh Dutta, Mohammad Al Hasan, Mohammed Korayem, J Allison, David W. Loring, Jay J. Pillai, Kimford J. Meador, Nesreen K. Ahmed, Qiaoling Liu and Faizan Javed and has published in prestigious journals such as Artificial Intelligence Review, Epilepsy & Behavior and Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery.

In The Last Decade

Vachik S. Dave

15 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vachik S. Dave United States 8 125 101 59 45 44 16 333
Qianqian Wang China 12 134 1.1× 126 1.2× 14 0.2× 56 1.2× 46 1.0× 29 300
Mohammed Nasser Al-Andoli Malaysia 12 51 0.4× 122 1.2× 10 0.2× 82 1.8× 63 1.4× 32 325
Felix Lindner Germany 12 98 0.8× 110 1.1× 47 0.8× 37 0.8× 5 0.1× 40 434
Guoxin Su Australia 9 26 0.2× 104 1.0× 44 0.7× 40 0.9× 4 0.1× 32 284
Yida Wang China 12 98 0.8× 150 1.5× 6 0.1× 100 2.2× 10 0.2× 44 414
Nathan Bartley United States 4 58 0.5× 170 1.7× 7 0.1× 14 0.3× 12 0.3× 6 396
Abhijit S. Pandya United States 8 73 0.6× 103 1.0× 51 0.9× 31 0.7× 2 0.0× 62 322
Xiaofei Ma China 11 53 0.4× 270 2.7× 22 0.4× 18 0.4× 13 0.3× 32 393
Amit Agarwal India 9 50 0.4× 257 2.5× 7 0.1× 40 0.9× 33 0.8× 14 410

Countries citing papers authored by Vachik S. Dave

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Vachik S. Dave

This figure shows the co-authorship network connecting the top 25 collaborators of Vachik S. Dave. A scholar is included among the top collaborators of Vachik S. Dave 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 Vachik S. Dave. Vachik S. Dave is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
2.
Cui, Xiquan, et al.. (2021). Workshop on Online and Adaptative Recommender Systems (OARS). 4116–4117. 2 indexed citations
3.
Dündar, Murat, et al.. (2019). Dirichlet Process Gaussian Mixture for Active Online Name Disambiguation by Particle Filter. 269–278. 5 indexed citations
4.
Dutta, Kamlesh, Varun Gupta, & Vachik S. Dave. (2019). Analysis and Comparison of Neural Network Models for Software Development Effort Estimation. Journal of Cases on Information Technology. 21(2). 88–112. 2 indexed citations
5.
Dave, Vachik S., et al.. (2018). Predicting interval time for reciprocal link creation using survival analysis. Social Network Analysis and Mining. 8(1). 5 indexed citations
6.
Dave, Vachik S., et al.. (2018). A Combined Representation Learning Approach for Better Job and Skill Recommendation. IUScholarWorks (Indiana University). 1997–2005. 44 indexed citations
7.
Dave, Vachik S., Mohammad Al Hasan, & Chandan K. Reddy. (2017). How Fast Will You Get a Response? Predicting Interval Time for Reciprocal Link Creation. IUScholarWorks (Indiana University). 1 indexed citations
8.
Hasan, Mohammad Al & Vachik S. Dave. (2017). Triangle counting in large networks: a review. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 8(2). 52 indexed citations
9.
Dave, Vachik S., Mohammad Al Hasan, & Chandan K. Reddy. (2017). How Fast Will You Get a Response? Predicting Interval Time for Reciprocal Link Creation. Proceedings of the International AAAI Conference on Web and Social Media. 11(1). 508–511. 2 indexed citations
10.
Liu, Qiaoling, et al.. (2017). Supporting Employer Name Normalization at both Entity and Cluster Level. 1883–1892. 6 indexed citations
11.
Dave, Vachik S., Nesreen K. Ahmed, & Mohammad Al Hasan. (2017). E-CLoG: Counting edge-centric local graphlets. IUScholarWorks (Indiana University). 586–595. 11 indexed citations
12.
Dave, Vachik S. & Kamlesh Dutta. (2012). Neural network based models for software effort estimation: a review. Artificial Intelligence Review. 42(2). 295–307. 113 indexed citations
13.
Dave, Vachik S. & Kamlesh Dutta. (2011). Comparison of regression model, feed-forward neural network and radial basis neural network for software development effort estimation. ACM SIGSOFT Software Engineering Notes. 36(5). 1–5. 21 indexed citations
14.
Dave, Vachik S.. (2011). Application of Feed-Forward Neural Network in Estimation of Software Effort. 7 indexed citations
15.
Dave, Vachik S. & Kamlesh Dutta. (2011). Neural network based software effort estimation & evaluation criterion MMRE. 148. 347–351. 12 indexed citations
16.
Loring, David W., et al.. (2002). Now you see it, now you don’t: statistical and methodological considerations in fMRI. Epilepsy & Behavior. 3(6). 539–547. 50 indexed citations

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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