Amit Kumar Jakhar
- Artificial Intelligence top 10%
- Information Systems top 10%
- Sociology and Political Science
- Computer Networks and Communications
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Mrityunjay SinghShivam PandeyKumar RajnishWattana ViriyasitavatShubham GoelRohit SharmaGaurav Dhiman
- Topics
- Software Engineering Research (5 papers)Software Reliability and Analysis Research (4 papers)Software Engineering Techniques and Practices (3 papers)
In The Last Decade
Amit Kumar Jakhar
11 papers receiving 231 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 173
- Information Systems 73
- Sociology and Political Science 58
- Computer Networks and Communications 23
- Radiology, Nuclear Medicine and Imaging 21
Countries citing papers authored by Amit Kumar Jakhar
This map shows the geographic impact of Amit Kumar Jakhar'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 Amit Kumar Jakhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Kumar Jakhar more than expected).
Fields of papers citing papers by Amit Kumar Jakhar
This network shows the impact of papers produced by Amit Kumar Jakhar. 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 Amit Kumar Jakhar. The network helps show where Amit Kumar Jakhar may publish in the future.
Co-authorship network of co-authors of Amit Kumar Jakhar
This figure shows the co-authorship network connecting the top 25 collaborators of Amit Kumar Jakhar. A scholar is included among the top collaborators of Amit Kumar Jakhar 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 Amit Kumar Jakhar. Amit Kumar Jakhar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 17 | |
| 4 | 33 | |
| 5 | Sentiment analysis on the impact of coronavirus in social life using the BERT modelbreakdown → | 168 |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | Cognitive Estimation of Development Effort, Time, Errors, and the Defects of Software | 1 |
| 10 | 1 | |
| 11 | A New Cognitive Approach to Measure the Complexity of Software's | 4 |
| 12 | 5 |
About Amit Kumar Jakhar
Amit Kumar Jakhar is a scholar working on Software, Information Systems and Computer Science Applications, having authored 12 papers that have together received 244 indexed citations. Recurring topics across this work include Software Engineering Research (5 papers), Software Reliability and Analysis Research (4 papers) and Software Engineering Techniques and Practices (3 papers). The work is most often cited by research in Artificial Intelligence (173 citations), Information Systems (73 citations) and Software (10 citations). Amit Kumar Jakhar has collaborated with scholars based in India, Lebanon and Jordan. Frequent co-authors include Mrityunjay Singh, Shivam Pandey, Kumar Rajnish, Wattana Viriyasitavat, Shubham Goel, Rohit Sharma and Gaurav Dhiman. Their work appears in journals such as Multimedia Tools and Applications, Social Network Analysis and Mining and Evolutionary Intelligence.
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.