Sidra Mehtab

1.0k total citations
13 papers, 203 citations indexed

About

Sidra Mehtab is a scholar working on Management Science and Operations Research, Finance and Economics and Econometrics. According to data from OpenAlex, Sidra Mehtab has authored 13 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Science and Operations Research, 8 papers in Finance and 4 papers in Economics and Econometrics. Recurrent topics in Sidra Mehtab's work include Stock Market Forecasting Methods (8 papers), Financial Markets and Investment Strategies (7 papers) and Energy Load and Power Forecasting (4 papers). Sidra Mehtab is often cited by papers focused on Stock Market Forecasting Methods (8 papers), Financial Markets and Investment Strategies (7 papers) and Energy Load and Power Forecasting (4 papers). Sidra Mehtab collaborates with scholars based in United States, United Kingdom and Cameroon. Sidra Mehtab's co-authors include Jaydip Sen, Abhishek Dutta, David W. Cadotte, David W. Anderson, Pooja Kherwa, Ignacio Velásquez, K. Munivara Prasad, Teek Parval Sharma, Rajeev Singh and Altaf O. Mulani and has published in prestigious journals such as arXiv (Cornell University), IntechOpen eBooks and 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA).

In The Last Decade

Sidra Mehtab

13 papers receiving 159 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sidra Mehtab United States	9	122	49	43	40	38	13	203
Mhamed Hamiche Morocco	4	241 2.0×	56 1.1×	135 3.1×	49 1.2×	63 1.7×	10	345
Luckyson Khaidem United States	3	210 1.7×	85 1.7×	85 2.0×	29 0.7×	97 2.6×	4	266
Suryoday Basak United States	5	212 1.7×	85 1.7×	96 2.2×	38 0.9×	96 2.5×	6	296
Ramchandra Rimal United States	6	143 1.2×	28 0.6×	74 1.7×	33 0.8×	68 1.8×	12	220
Yuping Song China	9	143 1.2×	95 1.9×	77 1.8×	20 0.5×	123 3.2×	37	294
Taewook Kim South Korea	4	189 1.5×	68 1.4×	90 2.1×	43 1.1×	68 1.8×	8	273
Yingjun Chen China	4	235 1.9×	72 1.5×	92 2.1×	64 1.6×	104 2.7×	8	335
Keshab Raj Dahal United States	6	162 1.3×	33 0.7×	85 2.0×	41 1.0×	79 2.1×	15	293

Countries citing papers authored by Sidra Mehtab

Since Specialization

Citations

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

Fields of papers citing papers by Sidra Mehtab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sidra Mehtab

This figure shows the co-authorship network connecting the top 25 collaborators of Sidra Mehtab. A scholar is included among the top collaborators of Sidra Mehtab 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 Sidra Mehtab. Sidra Mehtab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Sen, Jaydip, Sidra Mehtab, Abhishek Dutta, et al.. (2021). Machine Learning - Algorithms, Models and Applications. arXiv (Cornell University). 44 indexed citations

Sen, Jaydip, et al.. (2021). Volatility Modeling of Stocks from Selected Sectors of the Indian Economy Using GARCH. arXiv (Cornell University). 10 indexed citations

Sen, Jaydip, et al.. (2021). Stock Portfolio Optimization Using a Deep Learning LSTM Model. arXiv (Cornell University). 263–271. 14 indexed citations

Sen, Jaydip & Sidra Mehtab. (2021). A Comparative Study of Optimum Risk Portfolio and Eigen Portfolio on the Indian Stock Market. 1(1). 1–1. 5 indexed citations

Sen, Jaydip & Sidra Mehtab. (2021). A comparative study of optimum risk portfolio and eigen portfolio on the Indian stock market. 7(2). 143–143. 4 indexed citations

Sen, Jaydip, et al.. (2021). Portfolio Optimization on NIFTY Thematic Sector Stocks Using an LSTM Model. arXiv (Cornell University). 7. 364–369. 2 indexed citations

Sen, Jaydip & Sidra Mehtab. (2021). Accurate Stock Price Forecasting Using Robust and Optimized Deep Learning Models. 2021 International Conference on Intelligent Technologies (CONIT). 1–9. 19 indexed citations

Sen, Jaydip, et al.. (2021). Hierarchical Risk Parity and Minimum Variance Portfolio Design on NIFTY 50 Stocks. arXiv (Cornell University). 668–675. 5 indexed citations

Mehtab, Sidra, et al.. (2020). Robust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Models. 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA). 1481–1486. 31 indexed citations

10.

Mehtab, Sidra & Jaydip Sen. (2020). Stock Price Prediction Using Convolutional Neural Networks on a Multivariate Timeseries. SSRN Electronic Journal. 8 indexed citations

11.

Sen, Jaydip & Sidra Mehtab. (2020). A Time Series Analysis-Based Stock Price Prediction Using Machine Learning and Deep Learning Models. 6(1). 272–272. 12 indexed citations

12.

Sen, Jaydip, Sidra Mehtab, K. Munivara Prasad, et al.. (2019). Computer and Network Security. IntechOpen eBooks. 8 indexed citations

13.

Mehtab, Sidra & Jaydip Sen. (2019). A Robust Predictive Model for Stock Price Prediction Using Deep Learning and Natural Language Processing. SSRN Electronic Journal. 41 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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