Ruchi Mittal
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Molecular Biology
- Information Systems top 10%
- Computer Networks and Communications
- Co-authors
- Amit MittalVarun MalikRoss A. McKinnonArun AggarwalMichael J. SorichSahil GuptaJaiteg SinghS. Vikram Singh
- Topics
- Online Learning and Analytics (7 papers)Computational Drug Discovery Methods (6 papers)Data Mining Algorithms and Applications (4 papers)
- Cited by
- Computational Theory and MathematicsInformation Systems and ManagementHealth Information Management
- Partner nations
- IndiaSaudi ArabiaNepal
In The Last Decade
Ruchi Mittal
43 papers receiving 468 citations
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 97
- Computational Theory and Mathematics 74
- Molecular Biology 64
- Information Systems 54
- Computer Networks and Communications 44
Countries citing papers authored by Ruchi Mittal
This map shows the geographic impact of Ruchi Mittal'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 Ruchi Mittal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruchi Mittal more than expected).
Fields of papers citing papers by Ruchi Mittal
This network shows the impact of papers produced by Ruchi Mittal. 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 Ruchi Mittal. The network helps show where Ruchi Mittal may publish in the future.
Co-authorship network of co-authors of Ruchi Mittal
This figure shows the co-authorship network connecting the top 25 collaborators of Ruchi Mittal. A scholar is included among the top collaborators of Ruchi Mittal 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 Ruchi Mittal. Ruchi Mittal 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 | 0 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 13 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 45 | |
| 16 | EVALUATING RULE BASED MACHINE LEARNING CLASSIFIERS FOR CUSTOMER SPENDING IN SHOPPING Mall | 0 |
| 17 | Modelling the Intentions to Adopt UPIs: A PLS-SEM Approach | 6 |
| 18 | 1 | |
| 19 | 65 | |
| 20 | 12 |
About Ruchi Mittal
Ruchi Mittal is a scholar working on Computer Science Applications, Organizational Behavior and Human Resource Management and Marketing, having authored 55 papers that have together received 493 indexed citations. Recurring topics across this work include Online Learning and Analytics (7 papers), Computational Drug Discovery Methods (6 papers) and Data Mining Algorithms and Applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (74 citations), Information Systems and Management (27 citations) and Health Information Management (18 citations). Ruchi Mittal has collaborated with scholars based in India, Saudi Arabia and Nepal. Frequent co-authors include Amit Mittal, Varun Malik, Ross A. McKinnon, Arun Aggarwal, Michael J. Sorich, Sahil Gupta, Jaiteg Singh, S. Vikram Singh, John Martin and S. B. Goyal. Their work appears in journals such as PLoS ONE, IEEE Access and Journal of Chemical Information and Modeling.
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.