Ramchandra Rimal

402 total citations · 1 hit paper
12 papers, 220 citations indexed

About

Ramchandra Rimal is a scholar working on Management Science and Operations Research, Economics and Econometrics and Cognitive Neuroscience. According to data from OpenAlex, Ramchandra Rimal has authored 12 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Management Science and Operations Research, 4 papers in Economics and Econometrics and 3 papers in Cognitive Neuroscience. Recurrent topics in Ramchandra Rimal's work include Stock Market Forecasting Methods (7 papers), Functional Brain Connectivity Studies (3 papers) and Market Dynamics and Volatility (2 papers). Ramchandra Rimal is often cited by papers focused on Stock Market Forecasting Methods (7 papers), Functional Brain Connectivity Studies (3 papers) and Market Dynamics and Volatility (2 papers). Ramchandra Rimal collaborates with scholars based in United States. Ramchandra Rimal's co-authors include Hum Nath Bhandari, Nawa Raj Pokhrel, Keshab Raj Dahal, Marianna Pensky, Xin Yang, Tiffany D. Rogers and Yingxin Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Journal of Machine Learning Research.

In The Last Decade

Ramchandra Rimal

11 papers receiving 208 citations

Hit Papers

Predicting stock market index using LSTM 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Predicting stock market index using LSTM
    2022 155 citations Hum Nath Bhandari, Nawa Raj Pokhrel et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramchandra Rimal United States 6 143 74 68 33 28 12 220
Nawa Raj Pokhrel United States 8 161 1.1× 80 1.1× 77 1.1× 32 1.0× 33 1.2× 18 277
Shivam Agarwal India 7 195 1.4× 81 1.1× 78 1.1× 90 2.7× 61 2.2× 10 274
Luckyson Khaidem United States 3 210 1.5× 85 1.1× 97 1.4× 29 0.9× 85 3.0× 4 266
Taewook Kim South Korea 4 189 1.3× 90 1.2× 68 1.0× 43 1.3× 68 2.4× 8 273
Suryoday Basak United States 5 212 1.5× 96 1.3× 96 1.4× 38 1.2× 85 3.0× 6 296
Xiang Ma China 9 159 1.1× 93 1.3× 58 0.9× 55 1.7× 34 1.2× 21 255
Arnav Wadhwa India 9 197 1.4× 90 1.2× 80 1.2× 98 3.0× 64 2.3× 11 330
Sidra Mehtab United States 9 122 0.9× 43 0.6× 38 0.6× 40 1.2× 49 1.8× 13 203
Rudra Kalyan Nayak India 7 113 0.8× 65 0.9× 62 0.9× 53 1.6× 38 1.4× 24 211

Countries citing papers authored by Ramchandra Rimal

Since Specialization
Citations

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

Fields of papers citing papers by Ramchandra Rimal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramchandra Rimal

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

All Works

12 of 12 papers shown
1.
Pokhrel, Nawa Raj, et al.. (2024). Deep-SDM: A Unified Computational Framework for Sequential Data Modeling Using Deep Learning Models. SHILAP Revista de lepidopterología. 3(1). 47–61. 5 indexed citations
2.
Bhandari, Hum Nath, et al.. (2024). Implementation of deep learning models in predicting ESG index volatility. Financial Innovation. 10(1). 3 indexed citations
3.
Rimal, Ramchandra, et al.. (2024). Real Estate Market Prediction Using Deep Learning Models. Annals of Data Science. 12(4). 1113–1156. 1 indexed citations
4.
Rimal, Ramchandra. (2023). Identifying the Neurocognitive Difference Between Two Groups Using Supervised Learning. Statistics Optimization & Information Computing. 12(1). 15–33. 3 indexed citations
5.
Rimal, Ramchandra, et al.. (2023). Comparative study of various machine learning methods on ASD classification. International Journal of Data Science and Analytics. 20(2). 381–395. 3 indexed citations
6.
Bhandari, Hum Nath, et al.. (2022). LSTM-SDM: An integrated framework of LSTM implementation for sequential data modeling. Software Impacts. 14. 100396–100396. 12 indexed citations
7.
Yang, Xin, Ramchandra Rimal, & Tiffany D. Rogers. (2022). Functional Connectivity Based Classification for Autism Spectrum Disorder Using Spearman’s Rank Correlation. 46–51. 2 indexed citations
8.
Bhandari, Hum Nath, et al.. (2022). Predicting stock market index using LSTM. SHILAP Revista de lepidopterología. 9. 100320–100320. 155 indexed citations breakdown →
9.
Pokhrel, Nawa Raj, et al.. (2022). Predicting NEPSE index price using deep learning models. SHILAP Revista de lepidopterología. 9. 100385–100385. 22 indexed citations
10.
Pokhrel, Nawa Raj, et al.. (2022). Predicting Nepse Index Price Using Deep Learning Models. SSRN Electronic Journal. 7 indexed citations
11.
Pensky, Marianna, et al.. (2021). Sparse Popularity Adjusted Stochastic Block Model. Journal of Machine Learning Research. 22(193). 1–36. 1 indexed citations
12.
Rimal, Ramchandra, et al.. (2021). Estimation and Clustering in Popularity Adjusted Block Model. Journal of the Royal Statistical Society Series B (Statistical Methodology). 83(2). 293–317. 6 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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