Ravi Mirchandaney

884 citations
19 papers · 588 indexed · h-index 10
Topics
Parallel Computing and Optimization Techniques (14 papers)Distributed and Parallel Computing Systems (14 papers)Cloud Computing and Resource Management (6 papers)
Partner nations
United StatesNetherlands

In The Last Decade

Ravi Mirchandaney

19 papers receiving 534 citations

Peers

Ravi Mirchandaney
Comparison fields: 5 of 41
  • Computer Networks and Communications 487
  • Hardware and Architecture 384
  • Information Systems 111
  • Artificial Intelligence 51
  • Management Information Systems 48
Replace N.G. Shivaratri with:
N.G. Shivaratri United States
Pascale Vicat-Blanc Primet France
Yvon Jégou France
Robert F. Lucas United States
Vladimir Getov United Kingdom
R. S. Fabry United States
Ilias Iliadis Switzerland
Pierre Verbaeten Belgium
L. Ciminiera Italy
Edward K. Lee United States
Ravi Mirchandaney relative to N.G. Shivaratri United States N.G. Shivaratri's profile →
Citations per field
00.5×2.8×
N.G. Shivaratri · 1×
Citations per year

Countries citing papers authored by Ravi Mirchandaney

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Mirchandaney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi Mirchandaney

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 17
2 4
3 4
4 1
5 2
6 171
7
The Preprocessed Doacross Loop
19
8 5
9 15
10 90
11 15
12 14
13 105
14
The PARTY parallel runtime system
5
15
The Automated Crystal Runtime System: A Framework,
2
16 80
17
The PARTY Parallel Runtime System - Invited Talk
4
18
The Effect of Communication Delays on the Performance of Load Balancing Policies in Distributed Systems.
5
19 30

About Ravi Mirchandaney

Ravi Mirchandaney is a scholar working on Hardware and Architecture, Computer Networks and Communications and Management Information Systems, having authored 19 papers that have together received 588 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (14 papers), Distributed and Parallel Computing Systems (14 papers) and Cloud Computing and Resource Management (6 papers). The work is most often cited by research in Hardware and Architecture (384 citations), Computer Networks and Communications (487 citations) and Management Information Systems (48 citations). Ravi Mirchandaney has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Joel Saltz, John A. Stankovic, K. Crowley, Don Towsley, Roger M. Smith, Harry Berryman, William Gropp, David M. Nicol, Ajay K. Sethi and P. J. Hoogerbrugge. Their work appears in journals such as IEEE Transactions on Computers, Atomic Data and Nuclear Data Tables and Journal of Parallel and Distributed 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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