Daniel Grosu

3.9k citations
121 papers · 2.8k indexed · h-index 30

Impact in

    • IoT and Edge/Fog Computing
    • Distributed and Parallel Computing Systems
    • Caching and Content Delivery
    • Optimization and Search Problems
    • Cloud Computing and Resource Management
    • Blockchain Technology Applications and Security

Papers in

Daniel Grosu

115 papers receiving 2.7k citations

Peers

Daniel Grosu
Comparison fields: 5 of 59
  • Computer Networks and Communications 2.0k
  • Information Systems 1.8k
  • Management Science and Operations Research 648
  • Hardware and Architecture 187
  • Computer Science Applications 119
Replace Jie Xu with:
Jie Xu United Kingdom
Danilo Ardagna Italy
Kwang Mong Sim Hong Kong
Paulo Maciel Brazil
Ben Liang Canada
Kirk Pruhs United States
Luis Rodero‐Merino Spain
Aniruddha Gokhale United States
Inderveer Chana India
Muhammad Shiraz Malaysia
Daniel Grosu relative to Jie Xu United Kingdom Jie Xu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Grosu

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Grosu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Grosu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Grosu Line = papers co-authored together Daniel Grosu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012173
2 2005148
3 2013132
4 2015121
5 2014116
6 2014109
7 2014102
8 201997
9 200288
10 200586
11 202185
12 201075
13 201174
14 201774
15 200473
16 201065
17 201457
18 201148
19 201844
20 200542

About Daniel Grosu

Daniel Grosu is a scholar working on Computer Networks and Communications, Management Science and Operations Research, Information Systems, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 121 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (42 papers), Auction Theory and Applications (42 papers), Optimization and Search Problems (31 papers), Distributed and Parallel Computing Systems (27 papers), Blockchain Technology Applications and Security (23 papers), IoT and Edge/Fog Computing (21 papers), Game Theory and Applications (18 papers) and Peer-to-Peer Network Technologies (12 papers). The work is most often cited by research in Computer Networks and Communications (2.0k citations), Information Systems (1.8k citations), Management Science and Operations Research (648 citations), Hardware and Architecture (187 citations) and Computer Science Applications (119 citations). Daniel Grosu has collaborated with scholars based in United States, Romania and Sweden. Frequent co-authors include Sharrukh Zaman, Lena Mashayekhy, Mark Nejad, Tayebeh Bahreini, Anthony T. Chronopoulos, Thomas E. Carroll, Hossein Badri, A.T. Chronopoulos, Arup Kumar Das and Ming‐Ying Leung. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing, IEEE Transactions on Cloud Computing, IEEE Transactions on Computers and IEEE Transactions on Mobile 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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