Arun Sharma
- Information Systems top 1%
- Artificial Intelligence top 5%
- Software top 1%
- Computer Networks and Communications top 5%
- Plant Science top 10%
- Co-authors
- P. S. GroverB. MishraSatyendra GautamDeepak GuptaPrerna SharmaRitu RaniRamesh ChanderLaxmi Ahuja
- Topics
- Software Engineering Research (46 papers)Software Reliability and Analysis Research (35 papers)Software System Performance and Reliability (23 papers)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Arun Sharma
147 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 152
- Information Systems 586
- Artificial Intelligence 386
- Software 365
- Computer Networks and Communications 227
- Plant Science 210
Countries citing papers authored by Arun Sharma
This map shows the geographic impact of Arun 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 Arun Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun Sharma more than expected).
Fields of papers citing papers by Arun Sharma
This network shows the impact of papers produced by Arun 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 Arun Sharma. The network helps show where Arun Sharma may publish in the future.
Co-authorship network of co-authors of Arun Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Arun Sharma. A scholar is included among the top collaborators of Arun 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 Arun Sharma. Arun Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 7 | |
| 3 | 9 | |
| 4 | 27 | |
| 5 | 15 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 29 | |
| 12 | Current state of the research in agile quality development | 12 |
| 13 | Applying Soft Computing Approaches to Predict Defect Density in Software Product Releases: An Empirical Study | 9 |
| 14 | 119 | |
| 15 | AUTONOMIC COMPUTING: A LONG TERM VISION IN COMPUTING | 4 |
| 16 | Data Mining For Security Purpose & Its Solitude Suggestions | 11 |
| 17 | 1 | |
| 18 | Minimum Spanning Tree-Based Approach for Reliability Estimation of COTS-Based Software Applications | 6 |
| 19 | 6 | |
| 20 | An Intuitive IK Postural Control System for Anthropometric Digital Human Models | 2 |
About Arun Sharma
Arun Sharma is a scholar working on Software, Information Systems and Health Information Management, having authored 164 papers that have together received 1.7k indexed citations. Recurring topics across this work include Software Engineering Research (46 papers), Software Reliability and Analysis Research (35 papers) and Software System Performance and Reliability (23 papers). The work is most often cited by research in Software (365 citations), Information Systems (586 citations) and Biochemistry (94 citations). Arun Sharma has collaborated with scholars based in India, United States and Australia. Frequent co-authors include P. S. Grover, B. Mishra, Satyendra Gautam, Deepak Gupta, Prerna Sharma, Ritu Rani, Ramesh Chander, Laxmi Ahuja, Parita Jain and Rajesh Kumar. Their work appears in journals such as Food Chemistry, Biochemical and Biophysical Research Communications and Carbohydrate Polymers.
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.