Rajiv Ranjan

24.2k citations
350 papers · 15.1k indexed · 7 hit papers · h-index 60

Rajiv Ranjan

329 papers receiving 14.4k citations

Hit Papers

Explainable AI (XAI)...506201020262015202010002.0k3.0k

Peers

Rajiv Ranjan
Comparison fields: 5 of 173
  • Computer Networks and Communications 9.8k
  • Information Systems 8.6k
  • Information Systems and Management 724
  • Artificial Intelligence 2.9k
  • Signal Processing 891
Replace Samee U. Khan with:
Samee U. Khan United States
Abdullah Gani Malaysia
Meikang Qiu United States
Muhammad Imran Saudi Arabia
Jinjun Chen Australia
Omer Rana United Kingdom
Laurence T. Yang Canada
Schahram Dustdar Austria
Ibrar Yaqoob United Arab Emirates
Feng Xia China
Rajiv Ranjan relative to Samee U. Khan United States Samee U. Khan's profile →
Citations per field
00.5×1.5×2.1×
Samee U. Khan · 1×
Citations per year

Countries citing papers authored by Rajiv Ranjan

Since Specialization
Citations

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

Fields of papers citing papers by Rajiv Ranjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Rajiv Ranjan, 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 Rajiv Ranjan Line = papers co-authored together Rajiv Ranjan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 20251
3 20250
4 20251
5 20250
6 20240
7 20248
8 20234
9 20231
10 202219
11 202217
12 20211
13 202155
14 20218
15 20204
16 20204
17 202018
18 201980
19 201528
20
Coordinated Resource Provisioning in Federated Grids
20075

About Rajiv Ranjan

Rajiv Ranjan is a scholar working on Computer Networks and Communications, Information Systems and Information Systems and Management, having authored 350 papers that have together received 15.1k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (129 papers), IoT and Edge/Fog Computing (123 papers), Distributed and Parallel Computing Systems (49 papers), Software System Performance and Reliability (32 papers), Blockchain Technology Applications and Security (28 papers), Caching and Content Delivery (27 papers), Cloud Data Security Solutions (25 papers) and Context-Aware Activity Recognition Systems (23 papers). The work is most often cited by research in Computer Networks and Communications (9.8k citations), Information Systems (8.6k citations) and Information Systems and Management (724 citations). Rajiv Ranjan has collaborated with scholars based in Australia, United Kingdom and China. Frequent co-authors include Rajkumar Buyya, Rodrigo N. Calheiros, César A. F. De Rose, Anton Beloglazov, Lizhe Wang, Albert Y. Zomaya, Prem Prakash Jayaraman, Dimitrios Georgakopoulos, Omer Rana and Deepak Puthal. Their work appears in journals such as IEEE Cloud Computing, Future Generation Computer Systems, IEEE Transactions on Computers, Software Practice and Experience and 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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