Amit Shukla

1.6k total citations
42 papers, 897 citations indexed

About

Amit Shukla is a scholar working on Computer Networks and Communications, Pulmonary and Respiratory Medicine and Signal Processing. According to data from OpenAlex, Amit Shukla has authored 42 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 8 papers in Pulmonary and Respiratory Medicine and 7 papers in Signal Processing. Recurrent topics in Amit Shukla's work include Data Management and Algorithms (7 papers), Advanced Database Systems and Queries (7 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers). Amit Shukla is often cited by papers focused on Data Management and Algorithms (7 papers), Advanced Database Systems and Queries (7 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers). Amit Shukla collaborates with scholars based in India, United States and United Kingdom. Amit Shukla's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Amit Shukla

37 papers receiving 824 citations

Peers

Amit Shukla
Heng Ye China
Mohammad Alomari United States
Ian Dickinson United Kingdom
G. Kumar India
Xiao Luo United States
Amit Shukla
Citations per year, relative to Amit Shukla Amit Shukla (= 1×) peers Fábio Grandi

Countries citing papers authored by Amit Shukla

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Habet, Victoria, Peter Chiu, David L. Knox, et al.. (2025). Adjunctive Corticosteroids for Hypotension in the Pediatric Cardiac ICU: Single-Center Retrospective Study, 2020–2021. Pediatric Critical Care Medicine. 26(7). e877–e888.
2.
Shukla, Amit, et al.. (2025). A systematic survey: role of deep learning-based image anomaly detection in industrial inspection contexts. Frontiers in Robotics and AI. 12. 1554196–1554196. 2 indexed citations
5.
Shukla, Amit, et al.. (2024). Koopman Framework-Based Observer Design for Actuator Fault Identification in Quadrotor. 344–349. 1 indexed citations
7.
Sharma, Ajay Kumar, et al.. (2023). Early cutaneous inflammatory response at different degree of burn and its significance for clinical diagnosis and management. Journal of Tissue Viability. 32(4). 550–563. 3 indexed citations
8.
Shukla, Amit, et al.. (2023). Face Recognition Based Attendance System. 335–337. 3 indexed citations
9.
Shukla, Amit, et al.. (2023). IoT based smart irrigation system. AIP conference proceedings. 2605. 20053–20053. 3 indexed citations
13.
Wurst, Keele, Amit Shukla, Hana Muellerova, & Kourtney J. Davis. (2014). Respiratory Pharmacotherapy Use in Patients Newly Diagnosed with Chronic Obstructive Pulmonary Disease in a Primary Care Setting in the UK: A Retrospective Cohort Study. COPD Journal of Chronic Obstructive Pulmonary Disease. 11(5). 521–530. 18 indexed citations
14.
Müllerová, Hana, et al.. (2014). Risk factors for acute exacerbations of COPD in a primary care population: a retrospective observational cohort study. BMJ Open. 4(12). e006171–e006171. 114 indexed citations
15.
Punekar, Yogesh, Amit Shukla, & Hana Müllerová. (2014). COPD management costs according to the frequency of COPD exacerbations in UK primary care. International Journal of COPD. 9. 65–65. 79 indexed citations
16.
Punekar, Yogesh, Keele Wurst, & Amit Shukla. (2014). Resource Use and Costs up to Two Years Post Diagnosis Among Newly Diagnosed COPD Patients in the UK Primary Care Setting: A Retrospective Cohort Study. COPD Journal of Chronic Obstructive Pulmonary Disease. 12(3). 271–280. 15 indexed citations
17.
Bennett, Dimitri, M. Elizabeth Hodgson, Amit Shukla, & John Logie. (2011). Prevalence of Diagnosed Adult Immune Thrombocytopenia in the United Kingdom. Advances in Therapy. 28(12). 1096–1104. 30 indexed citations
18.
Shukla, Amit, Prasad Deshpande, & Jeffrey F. Naughton. (1998). Materialized View Selection for Multidimensional Datasets. Very Large Data Bases. 49(4). 488–499. 164 indexed citations
19.
Deshpande, Prasad, Jeffrey F. Naughton, Karthikeyan Ramasamy, et al.. (1997). Cubing Algorithms, Storage Estimation, and Storage and Processing Alternatives for OLAP.. IEEE Data(base) Engineering Bulletin. 20. 3–11. 9 indexed citations
20.
Shukla, Amit, Prasad Deshpande, Jeffrey F. Naughton, & Karthikeyan Ramasamy. (1996). Storage Estimation for Multidimensional Aggregates in the Presence of Hierarchies. Very Large Data Bases. 522–531. 86 indexed citations

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.

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