Natarajan Shankar

4.8k citations
53 papers · 1.3k indexed · h-index 20
Topics
Formal Methods in Verification (34 papers)Logic, programming, and type systems (26 papers)Logic, Reasoning, and Knowledge (15 papers)
Partner nations
United StatesFranceItaly

In The Last Decade

Natarajan Shankar

46 papers receiving 1.2k citations

Peers

Natarajan Shankar
Comparison fields: 5 of 71
  • Computational Theory and Mathematics 768
  • Artificial Intelligence 732
  • Software 379
  • Hardware and Architecture 376
  • Computer Networks and Communications 217
Replace Helmut Veith with:
Helmut Veith Austria
Cesare Tinelli United States
Clark Barrett United States
Alan J. Hu Canada
Mohammad Reza Mousavi Netherlands
Erik Poll Netherlands
Jan Friso Groote Netherlands
Werner Damm Germany
Christian Schallhart United Kingdom
Marjan Sirjani Iran
Natarajan Shankar relative to Helmut Veith Austria Helmut Veith's profile →
Citations per field
00.5×1.5×2.1×
Helmut Veith · 1×
Citations per year

Countries citing papers authored by Natarajan Shankar

Since Specialization
Citations

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

Fields of papers citing papers by Natarajan Shankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natarajan Shankar

This figure shows the co-authorship network connecting the top 25 collaborators of Natarajan Shankar. A scholar is included among the top collaborators of Natarajan Shankar 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 Natarajan Shankar. Natarajan Shankar 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 23
2 1
3 1
4 2
5 62
6 9
7
SimCheck: An Expressive Type System for Simulink
10
8 23
9 12
10 19
11 9
12
Theory Interpretations in PVS
25
13
An Overview of SAL
101
14
PVS: An Experience Report.
5
15 67
16
Abstract Datatypes in PVS
20
17 9
18 273
19 6
20 108

About Natarajan Shankar

Natarajan Shankar is a scholar working on Software, Computational Theory and Mathematics and Hardware and Architecture, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Formal Methods in Verification (34 papers), Logic, programming, and type systems (26 papers) and Logic, Reasoning, and Knowledge (15 papers). The work is most often cited by research in Software (379 citations), Hardware and Architecture (376 citations) and Computational Theory and Mathematics (768 citations). Natarajan Shankar has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Sam Owre, John Rushby, Friedrich von Henke, Patrick Lincoln, Andre Scedrov, Ashish Tiwari, John C. Mitchell, Leonardo de Moura, Sanjit A. Seshia and Mandayam Srivas. Their work appears in journals such as Proceedings of the IEEE, ACM Computing Surveys and IEEE Transactions on Software Engineering.

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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