Vaibhav Khadilkar

23 papers receiving 205 citations

Peers

Vaibhav Khadilkar
Comparison fields: 5 of 24
  • Artificial Intelligence 128
  • Information Systems 121
  • Computer Networks and Communications 93
  • Information Systems and Management 77
  • Management Science and Operations Research 38
Replace Johannes Kirschnick with:
Johannes Kirschnick Germany
Fernando Pereira United States
Pinar Alper United Kingdom
Michal Laclavík Slovakia
Bojan Karlaš Switzerland
Canh Ngo Netherlands
Herald Kllapi Greece
John Liagouris Switzerland
Ian Millard United Kingdom
James Magowan United Kingdom
Vaibhav Khadilkar relative to Johannes Kirschnick Germany Johannes Kirschnick's profile →
Citations per field
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Johannes Kirschnick · 1×
Citations per year

Countries citing papers authored by Vaibhav Khadilkar

Since Specialization
Citations

This map shows the geographic impact of Vaibhav Khadilkar'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 Khadilkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vaibhav Khadilkar more than expected).

Fields of papers citing papers by Vaibhav Khadilkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vaibhav Khadilkar. 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 Khadilkar. The network helps show where Vaibhav Khadilkar may publish in the future.

Co-authorship network of co-authors of Vaibhav Khadilkar

This figure shows the co-authorship network connecting the top 25 collaborators of Vaibhav Khadilkar. A scholar is included among the top collaborators of Vaibhav Khadilkar 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 Khadilkar. Vaibhav Khadilkar 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
#WorkIndexed citations
1 2
2 13
3 1
4 7
5 0
6 3
7
Secure Data Processing over Hybrid Clouds.
6
8 11
9 3
10
Jena-HBase: a distributed, scalable and efficient RDF triple store
52
11 2
12 38
13
Risk-Aware Data Processing in Hybrid Clouds
3
14
RETRO: A framework for semantics preserving SQL-to-SPARQL translation
8
15 21
16 1
17 11
18 0
19 4
20 6

About Vaibhav Khadilkar

Vaibhav Khadilkar is a scholar working on Information Systems and Management, Information Systems and Computer Networks and Communications, having authored 26 papers that have together received 227 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (8 papers), Cryptography and Data Security (6 papers) and Semantic Web and Ontologies (6 papers). The work is most often cited by research in Information Systems and Management (77 citations), Information Systems (121 citations) and Computer Networks and Communications (93 citations). Vaibhav Khadilkar has collaborated with scholars based in United States. Frequent co-authors include Murat Kantarcıoğlu, Bhavani Thuraisingham, Sharad Mehrotra, Cristian Bahrim, Latifur Khan, Bijit Hore, Anuj Gupta and Raymond Heatherly. Their work appears in journals such as Physical Review A, Journal of Physics B Atomic Molecular and Optical Physics and International Journal of Semantic Computing.

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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