N.G. Shivaratri

1.1k total citations
10 papers, 703 citations indexed

About

N.G. Shivaratri is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, N.G. Shivaratri has authored 10 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 5 papers in Hardware and Architecture and 2 papers in Electrical and Electronic Engineering. Recurrent topics in N.G. Shivaratri's work include Distributed and Parallel Computing Systems (5 papers), Distributed systems and fault tolerance (3 papers) and Parallel Computing and Optimization Techniques (3 papers). N.G. Shivaratri is often cited by papers focused on Distributed and Parallel Computing Systems (5 papers), Distributed systems and fault tolerance (3 papers) and Parallel Computing and Optimization Techniques (3 papers). N.G. Shivaratri collaborates with scholars based in United States. N.G. Shivaratri's co-authors include P. Krueger, Mukesh Singhal, M. Singhal, Ravi Prakash, Dik Lun Lee and Sidney F. Miller and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Vehicular Technology and Computer.

In The Last Decade

N.G. Shivaratri

10 papers receiving 624 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
N.G. Shivaratri United States 9 644 238 234 107 55 10 703
Yvon Jégou France 8 438 0.7× 215 0.9× 171 0.7× 28 0.3× 42 0.8× 26 520
Vladimir Getov United Kingdom 12 425 0.7× 168 0.7× 285 1.2× 29 0.3× 145 2.6× 75 554
Shlomit S. Pinter Israel 12 418 0.6× 113 0.5× 246 1.1× 48 0.4× 151 2.7× 25 665
Chuck Weinstock United States 7 336 0.5× 82 0.3× 233 1.0× 87 0.8× 104 1.9× 14 501
S. W. Hunter United States 9 365 0.6× 195 0.8× 80 0.3× 43 0.4× 36 0.7× 16 435
E. Rosti Italy 13 708 1.1× 119 0.5× 197 0.8× 146 1.4× 142 2.6× 27 756
Yuan-Chieh Chow United States 9 724 1.1× 187 0.8× 438 1.9× 45 0.4× 70 1.3× 21 802
David Daly United States 9 306 0.5× 99 0.4× 216 0.9× 72 0.7× 59 1.1× 30 515
Richard Golding United States 17 1.3k 2.1× 400 1.7× 419 1.8× 70 0.7× 67 1.2× 44 1.4k
G. Goldszmidt United States 13 788 1.2× 392 1.6× 103 0.4× 42 0.4× 108 2.0× 36 830

Countries citing papers authored by N.G. Shivaratri

Since Specialization
Citations

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

Fields of papers citing papers by N.G. Shivaratri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N.G. Shivaratri

This figure shows the co-authorship network connecting the top 25 collaborators of N.G. Shivaratri. A scholar is included among the top collaborators of N.G. Shivaratri 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 N.G. Shivaratri. N.G. Shivaratri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Shivaratri, N.G. & P. Krueger. (2002). Two adaptive location policies for global scheduling algorithms. 502–509. 31 indexed citations
2.
Shivaratri, N.G. & Mukesh Singhal. (2002). A transfer policy for global scheduling algorithms to schedule tasks with deadlines. 248–255. 2 indexed citations
3.
Prakash, Ravi, N.G. Shivaratri, & Mukesh Singhal. (1999). Distributed dynamic fault-tolerant channel allocation for cellular networks. IEEE Transactions on Vehicular Technology. 48(6). 1874–1888. 44 indexed citations
4.
Prakash, Ravi, N.G. Shivaratri, & Mukesh Singhal. (1995). Distributed dynamic channel allocation for mobile computing. 47–56. 58 indexed citations
5.
Shivaratri, N.G. & Mukesh Singhal. (1995). A load index and a transfer policy for global scheduling tasks with deadlines. Concurrency Practice and Experience. 7(7). 671–688. 9 indexed citations
6.
Krueger, P. & N.G. Shivaratri. (1994). Adaptive location policies for global scheduling. IEEE Transactions on Software Engineering. 20(6). 432–444. 44 indexed citations
7.
Miller, Sidney F., et al.. (1994). An analysis of performance and cost factors in searching large text databases using parallel search systems. Journal of the American Society for Information Science. 45(7). 443–464. 20 indexed citations
8.
Singhal, Mukesh & N.G. Shivaratri. (1994). Advanced Concepts In Operating Systems. 143 indexed citations
9.
Singhal, Mukesh & N.G. Shivaratri. (1993). Advanced concepts in operating systems : distributed, database, and multiprocessor operating systems. Internet Archive (Internet Archive). 35 indexed citations
10.
Shivaratri, N.G., P. Krueger, & M. Singhal. (1992). Load distributing for locally distributed systems. Computer. 25(12). 33–44. 317 indexed citations

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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