Sahil Shah
- Electrical and Electronic Engineering top 5%
- Management Science and Operations Research top 0.5%
- Economics and Econometrics top 2%
- Biomedical Engineering top 10%
- Materials Chemistry
- Co-authors
- Priyank ThakkarKetan KotechaJigar PatelJennifer HaslerDieter NeherMartin StolterfohtJonathan WarbyEmilio Gutierrez‐Partida
- Topics
- Analog and Mixed-Signal Circuit Design (22 papers)Advanced Memory and Neural Computing (15 papers)Analytical Chemistry and Sensors (10 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaAdvanced Energy Materials
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Sahil Shah
67 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Electrical and Electronic Engineering 1.3k
- Management Science and Operations Research 924
- Economics and Econometrics 394
- Biomedical Engineering 375
- Materials Chemistry 311
Countries citing papers authored by Sahil Shah
This map shows the geographic impact of Sahil 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 Sahil Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sahil Shah more than expected).
Fields of papers citing papers by Sahil Shah
This network shows the impact of papers produced by Sahil 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 Sahil Shah. The network helps show where Sahil Shah may publish in the future.
Co-authorship network of co-authors of Sahil Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Sahil Shah. A scholar is included among the top collaborators of Sahil 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 Sahil Shah. Sahil 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 | 10 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 38 | |
| 9 | 33 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 78 | |
| 13 | 2 | |
| 14 | 11 | |
| 15 | 145 | |
| 16 | Understanding Performance Limiting Interfacial Recombination in pin Perovskite Solar Cellsbreakdown → | 201 |
| 17 | 121 | |
| 18 | 11 | |
| 19 | 25 | |
| 20 | Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniquesbreakdown → | 691 |
About Sahil Shah
Sahil Shah is a scholar working on Bioengineering, Electrochemistry and Electrical and Electronic Engineering, having authored 72 papers that have together received 2.3k indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (22 papers), Advanced Memory and Neural Computing (15 papers) and Analytical Chemistry and Sensors (10 papers). The work is most often cited by research in Management Science and Operations Research (924 citations), Finance (299 citations) and Electrical and Electronic Engineering (1.3k citations). Sahil Shah has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Priyank Thakkar, Ketan Kotecha, Jigar Patel, Jigar Patel, Jennifer Hasler, Dieter Neher, Martin Stolterfoht, Jonathan Warby, Emilio Gutierrez‐Partida and Felix Lang. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Advanced Energy Materials.
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.