Rohitash Kumar Banyal

531 citations
22 papers · 284 indexed · h-index 10
Topics
Cloud Computing and Resource Management (6 papers)IoT and Edge/Fog Computing (5 papers)Big Data and Business Intelligence (4 papers)
Partner nations
India

In The Last Decade

Rohitash Kumar Banyal

22 papers receiving 265 citations

Peers

Rohitash Kumar Banyal
Comparison fields: 5 of 68
  • Information Systems 162
  • Computer Networks and Communications 111
  • Artificial Intelligence 78
  • Computer Vision and Pattern Recognition 37
  • Sociology and Political Science 27
Replace Ashish Tiwari with:
Ashish Tiwari India
Gökay Saldamlı United States
Önder Babur Netherlands
Habiba Chaoui Morocco
Ian Bayley United Kingdom
Asma Cherif Saudi Arabia
Rakhi Garg India
T N Manjunath India
Quanrun Zeng China
Rohitash Kumar Banyal relative to Ashish Tiwari India Ashish Tiwari's profile →
Citations per field
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Ashish Tiwari · 1×
Citations per year

Countries citing papers authored by Rohitash Kumar Banyal

Since Specialization
Citations

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

Fields of papers citing papers by Rohitash Kumar Banyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rohitash Kumar Banyal. 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 Rohitash Kumar Banyal. The network helps show where Rohitash Kumar Banyal may publish in the future.

Co-authorship network of co-authors of Rohitash Kumar Banyal

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 16
2 1
3 3
4 3
5 24
6 11
7 8
8 21
9 21
10 30
11
Data Cleaning Mechanism for Big Data and Cloud Computing
3
12 5
13 1
14 5
15 3
16 1
17 14
18 8
19 21
20 66

About Rohitash Kumar Banyal

Rohitash Kumar Banyal is a scholar working on Health Information Management, Management Information Systems and Information Systems, having authored 22 papers that have together received 284 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (6 papers), IoT and Edge/Fog Computing (5 papers) and Big Data and Business Intelligence (4 papers). The work is most often cited by research in Information Systems (162 citations), Computer Networks and Communications (111 citations) and Health Informatics (4 citations). Rohitash Kumar Banyal has collaborated with scholars based in India. Frequent co-authors include Kumar Rahul, Neeraj K. Arora, Pragya Jain, Vijendra K. Jain, Vibha Jain and Puneet Goswami. Their work appears in journals such as Multimedia Tools and Applications, Journal Of Big Data and Wireless Personal Communications.

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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