Ganesh Chandra Deka

673 citations
20 papers · 323 · h-index 9

Impact in

Papers in

    • Cloud Computing and Resource Management 4
    • Blockchain Technology Applications and Security 4
    • Cloud Data Security Solutions 2
    • Distributed systems and fault tolerance 2
    • Mobile Ad Hoc Networks 1
    • Software System Performance and Reliability 1

Ganesh Chandra Deka

17 papers receiving 296 citations

Peers

Ganesh Chandra Deka
Comparison fields: 5 of 60
  • Information Systems 208
  • Computer Networks and Communications 126
  • Health Informatics 6
  • Management Information Systems 39
  • Artificial Intelligence 82
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Citations per field
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Citations per year

Countries citing papers authored by Ganesh Chandra Deka

Since Specialization
Citations

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

Fields of papers citing papers by Ganesh Chandra Deka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ganesh Chandra Deka. 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 Ganesh Chandra Deka. The network helps show where Ganesh Chandra Deka may publish in the future.

Co-authors

The 21 scholars most cited alongside Ganesh Chandra Deka, 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 Ganesh Chandra Deka Line = papers co-authored together Ganesh Chandra Deka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2020109
2 201950
3 202030
4 201329
5 202023
6 201421
7
The Internet of Things : Foundation for Smart Cities, eHealth, and Ubiquitous Computing
201713
8 201713
9 20179
10 20116
11 20185
12
Cloud Computing: A Practical Approach
20124
13 20144
14 20122
15 20151
16 20171
17 20221
18 20171
19 20211
20 20180

About Ganesh Chandra Deka

Ganesh Chandra Deka is a scholar working on Information Systems, Computer Networks and Communications, Management Information Systems, Molecular Biology and Political Science and International Relations, having authored 20 papers that have together received 323 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (4 papers), Blockchain Technology Applications and Security (4 papers), Big Data and Business Intelligence (4 papers), Cloud Data Security Solutions (2 papers), Distributed systems and fault tolerance (2 papers), Mobile Ad Hoc Networks (1 paper), Imbalanced Data Classification Techniques (1 paper) and Software System Performance and Reliability (1 paper). The work is most often cited by research in Information Systems (208 citations), Computer Networks and Communications (126 citations), Health Informatics (6 citations), Management Information Systems (39 citations) and Artificial Intelligence (82 citations). Ganesh Chandra Deka has collaborated with scholars based in India, Malaysia and Iran. Frequent co-authors include Suyel Namasudra, Shiho Kim, Prashant Johri, Amir H. Gandomi, Pethuru Raj, Robin Singh Bhadoria, Suraj Sharma, Pascal Lorenz, Parag Chatterjee and Ricardo L. Armentano. Their work appears in journals such as IT Professional, Archives of Computational Methods in Engineering, Journal of Network and Computer Applications, Communications in computer and information science and CERN Document Server (European Organization for Nuclear Research).

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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