Rajesh Vasa

1.5k citations
86 papers · 885 · h-index 17

Impact in

Papers in

Rajesh Vasa

73 papers receiving 833 citations

Peers

Rajesh Vasa
Comparison fields: 5 of 104
  • Software 130
  • Computer Science Applications 146
  • Information Systems 463
  • Human-Computer Interaction 108
  • Information Systems and Management 54
Replace Rita Francese with:
Rita Francese Italy
Giuseppe Desolda Italy
Alf Inge Wang Norway
Andreas Jedlitschka Germany
Olga De Troyer Belgium
Stelios Xinogalos Greece
Marcelo Soares Pimenta Brazil
David Lowe Australia
Manuel Caeiro Rodríguez Spain
Vinícius H. S. Durelli Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Rajesh Vasa

Since Specialization
Citations

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

Fields of papers citing papers by Rajesh Vasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rajesh Vasa, 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 Rajesh Vasa Line = papers co-authored together Rajesh Vasa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201295
2 200961
3 201860
4 202347
5 200741
6 201239
7 201333
8 201632
9 200923
10 201522
11 201622
12 202220
13 201719
14 200619
15 201918
16 202018
17 201016
18 201515
19 201815
20 200513

About Rajesh Vasa

Rajesh Vasa is a scholar working on Information Systems, Artificial Intelligence, Computer Science Applications, Human-Computer Interaction and Computer Networks and Communications, having authored 86 papers that have together received 885 indexed citations. Recurring topics across this work include Software Engineering Research (24 papers), Software Engineering Techniques and Practices (16 papers), Advanced Software Engineering Methodologies (15 papers), Open Source Software Innovations (9 papers), Usability and User Interface Design (7 papers), Digital Marketing and Social Media (6 papers), Technology Adoption and User Behaviour (6 papers) and Software System Performance and Reliability (6 papers). The work is most often cited by research in Software (130 citations), Computer Science Applications (146 citations), Information Systems (463 citations), Human-Computer Interaction (108 citations) and Information Systems and Management (54 citations). Rajesh Vasa has collaborated with scholars based in Australia, Malaysia and United States. Frequent co-authors include John Grundy, Kon Mouzakis, Jean-Guy Schneider, Leonard Hoon, Oscar Nierstrasz, Scott Barnett, Markus Lumpe, Akihiro Noguchi, Mohamed Abdelrazek and Philip Branch. Their work appears in journals such as IEEE Transactions on Software Engineering, Dentomaxillofacial Radiology, Information Sciences, Frontiers in Psychiatry and IEEE Software.

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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