Naranker Dulay

96 papers receiving 1.4k citations

Peers

Naranker Dulay
Comparison fields: 5 of 63
  • Computer Networks and Communications 866
  • Artificial Intelligence 750
  • Information Systems 675
  • Sociology and Political Science 387
  • Computer Vision and Pattern Recognition 203
Replace Giovanni Russello with:
Giovanni Russello New Zealand
Mark Ryan United Kingdom
Yolande Berbers Belgium
Massimiliano Rak Italy
Letizia Leonardi Italy
Gero Mühl Germany
Regine Meunier Germany
Carlos Becker Westphall Brazil
Peter Sommerlad Switzerland
Antero Taivalsaari Finland
Naranker Dulay relative to Giovanni Russello New Zealand Giovanni Russello's profile →
Citations per field
00.5×1.5×2.4×
Giovanni Russello · 1×
Citations per year

Countries citing papers authored by Naranker Dulay

Since Specialization
Citations

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

Fields of papers citing papers by Naranker Dulay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naranker Dulay

This figure shows the co-authorship network connecting the top 25 collaborators of Naranker Dulay. A scholar is included among the top collaborators of Naranker Dulay 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 Naranker Dulay. Naranker Dulay 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 1
2
Secure Distributed Self Management Framework for UXVs
0
3 2
4 131
5 31
6 2
7 8
8 8
9 51
10 27
11 4
12 23
13 1
14 12
15
A Combined Hardware-Software Architecture for Network Flow Analysis
2
16
Towards reasoning about context in the presence of uncertainty
9
17 75
18 19
19 92
20 94

About Naranker Dulay

Naranker Dulay is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 98 papers that have together received 1.6k indexed citations. Recurring topics across this work include Access Control and Trust (30 papers), Distributed systems and fault tolerance (26 papers) and Service-Oriented Architecture and Web Services (23 papers). The work is most often cited by research in Computer Networks and Communications (866 citations), Information Systems (675 citations) and Artificial Intelligence (750 citations). Naranker Dulay has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Morris Sloman, Jeff Magee, Giovanni Russello, Changyu Dong, Emil Lupu, Jeff Kramer, Nicodemos Damianou, Kevin Twidle, Jeffrey A. Kramer and Leonardo Mostarda. Their work appears in journals such as Journal of Systems and Software, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Personal and Ubiquitous Computing.

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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