Ganesh Sittampalam

1.7k citations
24 papers · 919 indexed · h-index 14
Topics
Advanced Software Engineering Methodologies (13 papers)Software Engineering Research (12 papers)Software System Performance and Reliability (10 papers)

In The Last Decade

Ganesh Sittampalam

23 papers receiving 830 citations

Peers

Ganesh Sittampalam
Comparison fields: 5 of 55
  • Artificial Intelligence 710
  • Information Systems 556
  • Computer Networks and Communications 301
  • Software 255
  • Computational Theory and Mathematics 147
Replace Julian Tibble with:
Julian Tibble United Kingdom
Pavel Avgustinov United Kingdom
Damien Sereni United Kingdom
Aws Albarghouthi United States
Loris D’Antoni United States
Edward Aftandilian United States
Nadia Polikarpova United States
Jurgen Vinju Netherlands
Aske Simon Christensen Denmark
Ole Lehrmann Madsen Denmark
Ganesh Sittampalam relative to Julian Tibble United Kingdom Julian Tibble's profile →
Citations per field
00.5×
Julian Tibble · 1×
Citations per year

Countries citing papers authored by Ganesh Sittampalam

Since Specialization
Citations

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

Fields of papers citing papers by Ganesh Sittampalam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganesh Sittampalam

This figure shows the co-authorship network connecting the top 25 collaborators of Ganesh Sittampalam. A scholar is included among the top collaborators of Ganesh Sittampalam 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 Ganesh Sittampalam. Ganesh Sittampalam 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 28
2 100
3 9
4 12
5 14
6 4
7 237
8 36
9 209
10
Building the abc AspectJ compiler with Polyglot and Soot
3
11 7
12
The abc Group
28
13 19
14 44
15 1
16 17
17 0
18 18
19
Intentional programming: a host of language features
6
20
Generic Program Transformation
4

About Ganesh Sittampalam

Ganesh Sittampalam is a scholar working on Software, Computer Networks and Communications and Artificial Intelligence, having authored 24 papers that have together received 919 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (13 papers), Software Engineering Research (12 papers) and Software System Performance and Reliability (10 papers). The work is most often cited by research in Software (255 citations), Information Systems (556 citations) and Artificial Intelligence (710 citations). Ganesh Sittampalam has collaborated with scholars based in United Kingdom, Canada and Denmark. Frequent co-authors include Oege de Moor, Laurie Hendren, Julian Tibble, Pavel Avgustinov, Aske Simon Christensen, Damien Sereni, Sascha Kuzins, Ondřej Lhoták, Jennifer Lhoták and Chris Allan. Their work appears in journals such as Communications of the ACM, Theoretical Computer Science and ACM SIGPLAN Notices.

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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