Shiv Prakash

109 total papers · 1.6k total citations
71 papers, 970 citations indexed

About

Shiv Prakash is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Shiv Prakash has authored 71 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Networks and Communications, 24 papers in Information Systems and 18 papers in Hardware and Architecture. Recurrent topics in Shiv Prakash's work include Distributed and Parallel Computing Systems (20 papers), Parallel Computing and Optimization Techniques (14 papers) and Cloud Computing and Resource Management (13 papers). Shiv Prakash is often cited by papers focused on Distributed and Parallel Computing Systems (20 papers), Parallel Computing and Optimization Techniques (14 papers) and Cloud Computing and Resource Management (13 papers). Shiv Prakash collaborates with scholars based in India, United Kingdom and United States. Shiv Prakash's co-authors include Alice C. Parker, Mukesh Prasad, Deo Prakash Vidyarthi, Omprakash Kaiwartya, Yue Cao, Manojkumar Ramteke, S. K. Joshi, Abdul Hanan Abdullah, Jaime Lloret and Weizhe Zhang and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Shiv Prakash

60 papers receiving 903 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shiv Prakash	505	294	183	181	121	71	970
Fabiano Hessel	525 1.0×	258 0.9×	233 1.3×	184 1.0×	107 0.9×	95	879
Håkan Grahn	426 0.8×	318 1.1×	266 1.5×	267 1.5×	254 2.1×	104	1.2k
Armin Zimmermann	354 0.7×	145 0.5×	144 0.8×	190 1.0×	101 0.8×	110	1.1k
Mohammad Ashjaei	694 1.4×	375 1.3×	157 0.9×	116 0.6×	41 0.3×	79	857
Scott Graham	641 1.3×	112 0.4×	129 0.7×	323 1.8×	207 1.7×	64	1.1k
Ricardo Oliveira	583 1.2×	102 0.3×	168 0.9×	141 0.8×	266 2.2×	119	1.2k
Gunar Schirner	329 0.7×	408 1.4×	145 0.8×	69 0.4×	100 0.8×	85	888
Tridib Mukherjee	806 1.6×	304 1.0×	235 1.3×	704 3.9×	120 1.0×	62	1.2k
Gigliola Vaglini	361 0.7×	93 0.3×	98 0.5×	141 0.8×	302 2.5×	74	1.0k
Diego Martín	314 0.6×	90 0.3×	281 1.5×	283 1.6×	341 2.8×	98	1.2k

Countries citing papers authored by Shiv Prakash

Since Specialization

Citations

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

Fields of papers citing papers by Shiv Prakash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiv Prakash

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

All Works

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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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