Deepika Goyal
- Information Systems top 10%
- Management Information Systems top 10%
- Molecular Biology
- Artificial Intelligence
- Organizational Behavior and Human Resource Management top 10%
- Co-authors
- Sarika SharmaJayanthi RanjanS.I. AhsonGirish SahniDebendra K. SahooArchana SinghR. K. MittalShweta Sharma
- Topics
- Big Data and Business Intelligence (12 papers)Information Technology Governance and Strategy (8 papers)ERP Systems Implementation and Impact (5 papers)
In The Last Decade
Deepika Goyal
34 papers receiving 297 citations
Peers
Comparison fields: 5 of 87
- Information Systems 69
- Management Information Systems 68
- Molecular Biology 51
- Artificial Intelligence 43
- Organizational Behavior and Human Resource Management 43
Countries citing papers authored by Deepika Goyal
This map shows the geographic impact of Deepika Goyal'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 Deepika Goyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepika Goyal more than expected).
Fields of papers citing papers by Deepika Goyal
This network shows the impact of papers produced by Deepika Goyal. 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 Deepika Goyal. The network helps show where Deepika Goyal may publish in the future.
Co-authorship network of co-authors of Deepika Goyal
This figure shows the co-authorship network connecting the top 25 collaborators of Deepika Goyal. A scholar is included among the top collaborators of Deepika Goyal 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 Deepika Goyal. Deepika Goyal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 11 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 21 | |
| 6 | 23 | |
| 7 | Timetable Handling Mechanism Using Python | 1 |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 16 | |
| 12 | Can Managing Knowledge and Experience Improve Software Process? - Insights from the literature | 2 |
| 13 | Evaluating effectiveness of data mining software for CRM systems | 1 |
| 14 | A Hybrid Approach to Word Sense Disambiguation | 2 |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 39 | |
| 18 | 12 | |
| 19 | 9 | |
| 20 | The economics of cooking energy scenario in arid Rajasthan. | 1 |
About Deepika Goyal
Deepika Goyal is a scholar working on Management Information Systems, Business and International Management and Management of Technology and Innovation, having authored 37 papers that have together received 326 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (12 papers), Information Technology Governance and Strategy (8 papers) and ERP Systems Implementation and Impact (5 papers). The work is most often cited by research in Management Information Systems (68 citations), Business and International Management (15 citations) and Information Systems and Management (31 citations). Deepika Goyal has collaborated with scholars based in India, Australia and Qatar. Frequent co-authors include Sarika Sharma, Jayanthi Ranjan, S.I. Ahson, Girish Sahni, Debendra K. Sahoo, Archana Singh, R. K. Mittal, Shweta Sharma, Laxmi Ahuja and Sushma Mishra. Their work appears in journals such as Bioresource Technology, Archives of Microbiology and Journal of Chromatography B.
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.