Amit Shukla
- Computer Networks and Communications top 2%
- Signal Processing top 2%
- Pulmonary and Respiratory Medicine top 10%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Co-authors
- Jeffrey F. NaughtonPrasad DeshpandeKarthikeyan RamasamyHana MüllerováYogesh PunekarJennifer K QuintKeele WurstMiron Livny
- Topics
- Data Management and Algorithms (7 papers)Advanced Database Systems and Queries (7 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Amit Shukla
37 papers receiving 824 citations
Peers
Comparison fields: 5 of 96
- Computer Networks and Communications 491
- Signal Processing 378
- Pulmonary and Respiratory Medicine 279
- Information Systems 208
- Artificial Intelligence 153
Countries citing papers authored by Amit Shukla
This map shows the geographic impact of Amit Shukla'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 Shukla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Shukla more than expected).
Fields of papers citing papers by Amit Shukla
This network shows the impact of papers produced by Amit Shukla. 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 Shukla. The network helps show where Amit Shukla may publish in the future.
Co-authorship network of co-authors of Amit Shukla
This figure shows the co-authorship network connecting the top 25 collaborators of Amit Shukla. A scholar is included among the top collaborators of Amit Shukla 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 Shukla. Amit Shukla 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 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 18 | |
| 14 | 114 | |
| 15 | 79 | |
| 16 | 15 | |
| 17 | 30 | |
| 18 | 164 | |
| 19 | Cubing Algorithms, Storage Estimation, and Storage and Processing Alternatives for OLAP. | 9 |
| 20 | Storage Estimation for Multidimensional Aggregates in the Presence of Hierarchies | 86 |
About Amit Shukla
Amit Shukla is a scholar working on Issues, ethics and legal aspects, Signal Processing and Medical Laboratory Technology, having authored 42 papers that have together received 897 indexed citations. Recurring topics across this work include Data Management and Algorithms (7 papers), Advanced Database Systems and Queries (7 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers). The work is most often cited by research in Signal Processing (378 citations), Computer Networks and Communications (491 citations) and Issues, ethics and legal aspects (17 citations). Amit Shukla has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Jeffrey F. Naughton, Prasad Deshpande, Karthikeyan Ramasamy, Hana Müllerová, Yogesh Punekar, Jennifer K Quint, Keele Wurst, Miron Livny, Laura M. Haas and Michael J. Carey. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.
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.