Dev Shah

712 citations
4 papers · 429 · 1 hit paper · h-index 4

Impact in

Papers in

Journals
International Journal of Financial Studies (1 paper)2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC) (1 paper)arXiv (Cornell University) (1 paper)
Partner nations
CanadaIndia

In The Last Decade

Dev Shah

4 papers receiving 401 citations

Dev Shah's Hit Papers

Stock Market Analysis: A Review and Taxonomy of Prediction Techniques 2019 · 270 citations
2700+2+4Years since publication50100150200250

Peers

Dev Shah
Comparison fields: 5 of 52
  • Management Science and Operations Research 351
  • Finance 102
  • Signal Processing 48
  • Economics and Econometrics 114
  • Electrical and Electronic Engineering 141
Replace Eunsuk Chong with:
Eunsuk Chong South Korea
Mhamed Hamiche Morocco
Pangjing Wu China
S. Al Wadi Jordan
Qiuyue Zhang China
Chulwoo Han United Kingdom
Ritika Singh India
Taewook Kim South Korea
Michael Hagenau Germany
Dev Shah relative to Eunsuk Chong South Korea Eunsuk Chong's profile →
Citations per field
00.5×1.5×
Eunsuk Chong · 1×
Citations per year

Countries citing papers authored by Dev Shah

Since Specialization
Citations

This map shows the geographic impact of Dev 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 Dev Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dev Shah more than expected).

Fields of papers citing papers by Dev Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dev 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 Dev Shah. The network helps show where Dev Shah may publish in the future.

Co-authors

The 2 scholars most cited alongside Dev Shah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dev Shah Line = papers co-authored together Dev Shah links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Stock Market Analysis: A Review and Taxonomy of Prediction Techniques
Hit paper breakdown →
2019270
2 201886
3 201870
4 20213

About Dev Shah

Dev Shah is a scholar working on Management Science and Operations Research, Finance, Health Information Management, Signal Processing and Artificial Intelligence, having authored 4 papers that have together received 429 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (3 papers), Forecasting Techniques and Applications (2 papers), Financial Markets and Investment Strategies (2 papers), Artificial Intelligence in Healthcare (1 paper), Machine Learning and Data Classification (1 paper), Time Series Analysis and Forecasting (1 paper), Machine Learning in Healthcare (1 paper) and Energy Load and Power Forecasting (1 paper). The work is most often cited by research in Management Science and Operations Research (351 citations), Finance (102 citations), Signal Processing (48 citations), Economics and Econometrics (114 citations) and Electrical and Electronic Engineering (141 citations). Dev Shah has collaborated with scholars based in Canada and India. Frequent co-authors include Farhana Zulkernine and Haruna Isah. Their work appears in journals such as International Journal of Financial Studies, 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC) and arXiv (Cornell University).

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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