Vikas Deora

470 citations
9 papers · 169 · h-index 6

Impact in

Papers in

Vikas Deora

9 papers receiving 142 citations

Peers

Vikas Deora
Comparison fields: 5 of 47
  • Information Systems and Management 26
  • Information Systems 84
  • Management of Technology and Innovation 24
  • Computer Networks and Communications 69
  • Management Science and Operations Research 30
Replace Alexandros Marinos with:
Alexandros Marinos United Kingdom
Thodoros Topaloglou Canada
Eleni Kamateri Greece
Ana Lelescu United States
Jinhui Yao Australia
Mieczysław L. Owoc Poland
George Feuerlicht Australia
Justice Opara-Martins United Kingdom
Fariborz Farahmand United States
Christoph Schuler Switzerland
Vikas Deora relative to Alexandros Marinos United Kingdom Alexandros Marinos's profile →
Citations per field
00.5×3.8×
Alexandros Marinos · 1×
Citations per year

Countries citing papers authored by Vikas Deora

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Deora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Vikas Deora, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vikas Deora Line = papers co-authored together Vikas Deora links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 200497
2 200614
3 200813
4 200613
5 200611
6 200610
7
Supporting Formation and Operation of Virtual Organisations in a Grid Environment
20044
8
Establishing workflow trust using provenance information
20064
9 20063

About Vikas Deora

Vikas Deora is a scholar working on Computer Networks and Communications, Information Systems, Information Systems and Management, Management Information Systems and Statistical and Nonlinear Physics, having authored 9 papers that have together received 169 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (5 papers), Distributed and Parallel Computing Systems (4 papers), Peer-to-Peer Network Technologies (3 papers), Scientific Computing and Data Management (3 papers), Business Process Modeling and Analysis (2 papers), Complex Network Analysis Techniques (1 paper), Optimization and Search Problems (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Information Systems and Management (26 citations), Information Systems (84 citations), Management of Technology and Innovation (24 citations), Computer Networks and Communications (69 citations) and Management Science and Operations Research (30 citations). Vikas Deora has collaborated with scholars based in United Kingdom, Hungary and Canada. Frequent co-authors include Jianhua Shao, N. J. Fiddian, William A. Gray, Thuc Duong Nguyen, Alun Preece, Nicholas R. Jennings, Stuart Chalmers, G. Flucke, Viet Dung Dang and Timothy J. Norman. Their work appears in journals such as International Journal on Digital Libraries, Knowledge-Based Systems, ePrints Soton (University of Southampton) and ORCA Online Research @Cardiff (Cardiff University).

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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