S. C. Sharma

7.6k citations
143 papers · 5.4k indexed · 2 hit papers · h-index 26
Topics
IoT and Edge/Fog Computing (28 papers)Cloud Computing and Resource Management (27 papers)Energy Efficient Wireless Sensor Networks (18 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationTechnometrics

In The Last Decade

S. C. Sharma

134 papers receiving 4.9k citations

Hit Papers

Applied Multivariate Techniques19972026200620161997199750010001.5k2.0k

Peers

S. C. Sharma
Comparison fields: 5 of 216
  • Computer Networks and Communications 1.2k
  • Information Systems 960
  • Artificial Intelligence 603
  • Electrical and Electronic Engineering 512
  • Strategy and Management 392
Replace Mark Hansen with:
Mark Hansen United States
Shu‐Ching Chen United States
David E. Bell United States
Jun Zhuang United States
Paulo Cortez Portugal
Dan Wang China
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Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by S. C. Sharma

Since Specialization
Citations

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

Fields of papers citing papers by S. C. Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. C. Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of S. C. Sharma. A scholar is included among the top collaborators of S. C. 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 S. C. Sharma. S. C. 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
#WorkIndexed citations
1 1
2 0
3 2
4 0
5 10
6 12
7 8
8 3
9 5
10 3
11 2
12 22
13 8
14 0
15 36
16 2
17
A Diabetic Disease Prediction Model Based on Classification Algorithms
1
18
Priority Aware Longest Job First (PA-LJF) algorithm for utilization of the resource in cloud environment
10
19
DEPLOYING A PRIVATE CLOUD? GO THROUGH THE ERRORS FIRST
4
20 13

About S. C. Sharma

S. C. Sharma is a scholar working on Computer Networks and Communications, Information Systems and Health Information Management, having authored 143 papers that have together received 5.4k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (28 papers), Cloud Computing and Resource Management (27 papers) and Energy Efficient Wireless Sensor Networks (18 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Information Systems (960 citations) and Organizational Behavior and Human Resource Management (391 citations). S. C. Sharma has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Ruth M. Mickey, Mohit Kumar, Kalka Dubey, Santar Pal Singh, Kuldeep Narayan Tripathi, Tushar Bhardwaj, Prachi Deshpande, Kaushal Kumar, Sateesh K. Peddoju and Ravinder Ahuja. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Technometrics.

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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