V. N. Sastry

52 papers receiving 839 citations

Hit Papers

Recurrent neural network and a hybrid model for predictio...20142026201820222014100200300

Peers

V. N. Sastry
Comparison fields: 5 of 82
  • Information Systems 314
  • Management Science and Operations Research 300
  • Computer Networks and Communications 250
  • Artificial Intelligence 247
  • Electrical and Electronic Engineering 181
Replace Mustansar Ali Ghazanfar with:
Mustansar Ali Ghazanfar Pakistan
Dawei Cheng China
Nikolay Laptev United States
Ruppa K. Thulasiram Canada
Ömer Berat Sezer Türkiye
Keli Xiao United States
Luca Cagliero Italy
Erdoğan Doğdu Türkiye
Jimmy Ming‐Tai Wu China
Rui Neves Portugal
V. N. Sastry relative to Mustansar Ali Ghazanfar Pakistan Mustansar Ali Ghazanfar's profile →
Citations per field
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Mustansar Ali Ghazanfar · 1×
Citations per year

Countries citing papers authored by V. N. Sastry

Since Specialization
Citations

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

Fields of papers citing papers by V. N. Sastry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. N. Sastry. 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 V. N. Sastry. The network helps show where V. N. Sastry may publish in the future.

Co-authorship network of co-authors of V. N. Sastry

This figure shows the co-authorship network connecting the top 25 collaborators of V. N. Sastry. A scholar is included among the top collaborators of V. N. Sastry 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 V. N. Sastry. V. N. Sastry 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 38
3 17
4 6
5 2
6 2
7 1
8 42
9 3
10 8
11 1
12
A New Secure Route Discovery Protocol for MANETs to Prevent Hidden Channel Attacks
4
13 10
14
A CROSS - DOMAIN ROLE MAPPING AND AUTHORIZATION FRAMEWORK FOR RBAC IN GRID SYSTEMS
12
15 1
16 6
17 13
18 18
19 4
20 6

About V. N. Sastry

V. N. Sastry is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 53 papers that have together received 891 indexed citations. Recurring topics across this work include Advanced Authentication Protocols Security (18 papers), User Authentication and Security Systems (18 papers) and Cryptography and Data Security (14 papers). The work is most often cited by research in Management Science and Operations Research (300 citations), Information Systems (314 citations) and Signal Processing (118 citations). V. N. Sastry has collaborated with scholars based in India, China and Saudi Arabia. Frequent co-authors include Arun Agarwal, Akhter Mohiuddin Rather, Sriramulu Bojjagani, M. Vivekanandan, U. Srinivasulu Reddy, Atul Negi, N. P. Gopalan, Saru Kumari, Muhammad Khurram Khan and Chien‐Ming Chen. Their work appears in journals such as Expert Systems with Applications, Fuzzy Sets and Systems and IEEE Sensors Journal.

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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