Vachik S. Dave

38 total papers · 560 total citations
16 papers, 326 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 326 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, Jay J. Pillai, David W. Loring, Kimford J. Meador, J Allison, Nesreen K. Ahmed, Chandan K. Reddy 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 304 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vachik S. Dave 123 100 59 44 44 16 326
Qianqian Wang 134 1.1× 125 1.3× 14 0.2× 57 1.3× 46 1.0× 29 297
Jo Devriendt 54 0.4× 180 1.8× 14 0.2× 46 1.0× 21 0.5× 10 299
Joachim Jansen 66 0.5× 170 1.7× 12 0.2× 44 1.0× 21 0.5× 8 297
Mohammed Nasser Al-Andoli 51 0.4× 121 1.2× 10 0.2× 82 1.9× 62 1.4× 32 313
Mark Lutz 43 0.3× 100 1.0× 29 0.5× 57 1.3× 13 0.3× 13 344
Yu Wen 81 0.7× 164 1.6× 12 0.2× 168 3.8× 24 0.5× 12 322
Cosimo Birtolo 155 1.3× 87 0.9× 5 0.1× 34 0.8× 13 0.3× 17 272
Xin Ge 47 0.4× 36 0.4× 14 0.2× 62 1.4× 131 3.0× 31 298
Xiao Bai 201 1.6× 112 1.1× 16 0.3× 131 3.0× 17 0.4× 26 345
Jamil Ahmad 105 0.9× 137 1.4× 21 0.4× 105 2.4× 4 0.1× 18 353

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

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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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