Rajkumar Das

437 citations
17 papers · 334 · h-index 8

Impact in

Papers in

Rajkumar Das

17 papers receiving 321 citations

Peers

Rajkumar Das
Comparison fields: 5 of 34
  • Computer Networks and Communications 126
  • Automotive Engineering 29
  • Statistical and Nonlinear Physics 20
  • Artificial Intelligence 61
  • Information Systems 44
Replace Saúl E. Pomares Hernández with:
Saúl E. Pomares Hernández Mexico
Christian Quadri Italy
Jisu Kim South Korea
Jianping Gao China
Sashank Narain United States
Wenjing Zhang China
Anna Kobusińska Poland
Mariya Nazarkevych Ukraine
Yanmeng Wang China
Rajkumar Das relative to Saúl E. Pomares Hernández Mexico Saúl E. Pomares Hernández's profile →
Citations per field
00.5×2×2.8×
Saúl E. Pomares Hernández · 1×
Citations per year

Countries citing papers authored by Rajkumar Das

Since Specialization
Citations

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

Fields of papers citing papers by Rajkumar Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Rajkumar Das, 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 Rajkumar Das Line = papers co-authored together Rajkumar Das links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2020113
2 201165
3 202144
4 201933
5 201917
6 202216
7 201910
8 20179
9 20225
10 20235
11 20154
12 20113
13 20153
14 20253
15 20152
16
Who are convincing? An experience based opinion formation dynamics in online social networks
20161
17 20231

About Rajkumar Das

Rajkumar Das is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Control and Systems Engineering, Sociology and Political Science and Information Systems, having authored 17 papers that have together received 334 indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (5 papers), Smart Grid Security and Resilience (3 papers), Network Security and Intrusion Detection (3 papers), Access Control and Trust (3 papers), Opportunistic and Delay-Tolerant Networks (2 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers), IoT and Edge/Fog Computing (2 papers) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Computer Networks and Communications (126 citations), Automotive Engineering (29 citations), Statistical and Nonlinear Physics (20 citations), Artificial Intelligence (61 citations) and Information Systems (44 citations). Rajkumar Das has collaborated with scholars based in Australia, Bangladesh and Canada. Frequent co-authors include Gour Karmakar, Joarder Kamruzzaman, Abdullahi Chowdhury, Alireza Jolfaei, Gholamali C. Shoja, Syed Mofizul Islam, Md. Humayun Kabir, Iqbal Gondal, Ahmed Khurshid and S. H. Shah Newaz. Their work appears in journals such as IEEE Internet of Things Journal, Future Internet, World Wide Web, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

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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