Sugam Sharma

734 total citations
36 papers, 378 citations indexed

About

Sugam Sharma is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Sugam Sharma has authored 36 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 13 papers in Information Systems and 8 papers in Artificial Intelligence. Recurrent topics in Sugam Sharma's work include IoT and Edge/Fog Computing (8 papers), Cloud Computing and Resource Management (6 papers) and Mobile Ad Hoc Networks (5 papers). Sugam Sharma is often cited by papers focused on IoT and Edge/Fog Computing (8 papers), Cloud Computing and Resource Management (6 papers) and Mobile Ad Hoc Networks (5 papers). Sugam Sharma collaborates with scholars based in United States, India and United Kingdom. Sugam Sharma's co-authors include U. Sunday Tim, Johnny Wong, Shashi K. Gadia, Victor Chang, S. C. Sharma, S. B. Goyal, Srikanta Patnaik, Sateesh K. Peddoju, Johnny S. Wong and Johnny Wong and has published in prestigious journals such as PLoS ONE, Resources Conservation and Recycling and Technological Forecasting and Social Change.

In The Last Decade

Sugam Sharma

32 papers receiving 352 citations

Peers

Sugam Sharma
Comparison fields: 5 of 78
  • Computer Networks and Communications 146
  • Information Systems 142
  • Artificial Intelligence 91
  • Computer Vision and Pattern Recognition 72
  • Management Information Systems 43
Replace Gabriele Kotsis with:
Gabriele Kotsis Austria
Suyeon Kim South Korea
Douglas Dyllon Jerônimo de Macedo Brazil
Guangyi Xiao China
J. Javier Samper Spain
Αντώνιος Λίτκε Greece
Zaigham Mahmood United Kingdom
Óscar Sanjuán Martínez Spain
M. Vijayalakshmi India
M. Niranjanamurthy India
Gabriele Kotsis Austria View profile →
Citations per field, relative to Sugam Sharma
Sugam Sharma · 1×
Citations per year, relative to Sugam Sharma
Sugam Sharma · 1×

Countries citing papers authored by Sugam Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Sugam Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sugam Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Sugam Sharma. A scholar is included among the top collaborators of Sugam Sharma 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 Sugam Sharma. Sugam Sharma 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
# Work Indexed citations
1 0
2 7
3 5
4 7
5 4
6 12
7 9
8 4
9 4
10 34
11 3
12 2
13
Proliferating Cloud Density through Big Data Ecosystem, Novel XCLOUDX Classification and Emergence of as-a-Service Era
18
14 6
15 24
16 30
17 7
18
ON ENERGY EFFICIENT DATA DISSEMINATION IN WIRELESS SENSOR NETWORKS USING MOBILE SINKS
6
19 6
20 3

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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