Kshitij Shah
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Information Systems and Management top 5%
- Cellular and Molecular Neuroscience
- Cognitive Neuroscience
- Co-authors
- Matteo InterlandiTyson CondieMiryung KimTodd MillsteinMuhammad Ali GulzarSai Deep TetaliSeunghyun YooSarah Felix
- Topics
- Neuroscience and Neural Engineering (3 papers)Cloud Computing and Resource Management (3 papers)Scientific Computing and Data Management (3 papers)
- Partner nations
- United StatesIndiaNetherlands
In The Last Decade
Kshitij Shah
18 papers receiving 308 citations
Peers
Comparison fields: 5 of 59
- Computer Networks and Communications 131
- Information Systems 126
- Information Systems and Management 125
- Cellular and Molecular Neuroscience 84
- Cognitive Neuroscience 65
Countries citing papers authored by Kshitij Shah
This map shows the geographic impact of Kshitij Shah'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 Kshitij Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kshitij Shah more than expected).
Fields of papers citing papers by Kshitij Shah
This network shows the impact of papers produced by Kshitij Shah. 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 Kshitij Shah. The network helps show where Kshitij Shah may publish in the future.
Co-authorship network of co-authors of Kshitij Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Kshitij Shah. A scholar is included among the top collaborators of Kshitij Shah 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 Kshitij Shah. Kshitij Shah 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 | 11 | |
| 3 | Correcting the Autocorrect: Context-Aware Typographical Error Correction via Training Data Augmentation | 4 |
| 4 | 8 | |
| 5 | 16 | |
| 6 | 22 | |
| 7 | Titian: Data Provenance Support in Spark. | 70 |
| 8 | 77 | |
| 9 | 3 | |
| 10 | 49 | |
| 11 | 24 | |
| 12 | 19 | |
| 13 | 5 | |
| 14 | Searching Distributed and Heterogeneous Digital Media | 2 |
| 15 | 3 | |
| 16 | Black Box Approach to Image Feature Manipulation used by Visual Information Retrieval Engines | 1 |
| 17 | 7 | |
| 18 | 3 | |
| 19 | 3 |
About Kshitij Shah
Kshitij Shah is a scholar working on Information Systems and Management, Human Factors and Ergonomics and Information Systems, having authored 19 papers that have together received 327 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (3 papers), Cloud Computing and Resource Management (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Information Systems and Management (125 citations), Computer Networks and Communications (131 citations) and Information Systems (126 citations). Kshitij Shah has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Matteo Interlandi, Tyson Condie, Miryung Kim, Todd Millstein, Muhammad Ali Gulzar, Sai Deep Tetali, Seunghyun Yoo, Sarah Felix, Angela Tooker and Vanessa Tolosa. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and The VLDB Journal.
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.