Rajashree Dash

1.5k total citations
52 papers, 921 citations indexed

About

Rajashree Dash is a scholar working on Artificial Intelligence, Management Science and Operations Research and Electrical and Electronic Engineering. According to data from OpenAlex, Rajashree Dash has authored 52 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 22 papers in Management Science and Operations Research and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Rajashree Dash's work include Stock Market Forecasting Methods (22 papers), Neural Networks and Applications (20 papers) and Machine Learning and ELM (10 papers). Rajashree Dash is often cited by papers focused on Stock Market Forecasting Methods (22 papers), Neural Networks and Applications (20 papers) and Machine Learning and ELM (10 papers). Rajashree Dash collaborates with scholars based in India and Switzerland. Rajashree Dash's co-authors include P.K. Dash, Rasmita Dash, Ranjeeta Bisoi, Rasmita Rautray, Pramod K. Dash, Smita Mohanty, Amiya Kumar Rath, Debahuti Mishra, Rakesh Chandra Balabantaray and Alok Prasad Das and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Applied Soft Computing.

In The Last Decade

Rajashree Dash

47 papers receiving 866 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajashree Dash India 15 456 425 213 148 99 52 921
Zhiquan Ren China 7 356 0.8× 310 0.7× 157 0.7× 120 0.8× 158 1.6× 11 843
Jie Cheng United States 16 423 0.9× 75 0.2× 122 0.6× 26 0.2× 184 1.9× 51 1.0k
Baikunth Nath Australia 10 194 0.4× 261 0.6× 148 0.7× 92 0.6× 81 0.8× 36 821
Abdul Quadir India 13 136 0.3× 111 0.3× 73 0.3× 33 0.2× 65 0.7× 58 570
Chen-Hao Liu Taiwan 9 351 0.8× 519 1.2× 164 0.8× 169 1.1× 30 0.3× 16 913
Zuzana Komínková Oplatková Czechia 15 331 0.7× 96 0.2× 39 0.2× 30 0.2× 81 0.8× 105 705
Kinjal Chaudhari India 11 194 0.4× 422 1.0× 182 0.9× 142 1.0× 85 0.9× 15 720
Pei-Yi Hao Taiwan 12 404 0.9× 132 0.3× 76 0.4× 23 0.2× 262 2.6× 30 793
Weiqing Liu China 13 275 0.6× 246 0.6× 119 0.6× 84 0.6× 84 0.8× 32 761

Countries citing papers authored by Rajashree Dash

Since Specialization
Citations

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

Fields of papers citing papers by Rajashree Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajashree Dash

This figure shows the co-authorship network connecting the top 25 collaborators of Rajashree Dash. A scholar is included among the top collaborators of Rajashree Dash 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 Rajashree Dash. Rajashree Dash 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.
Rautray, Rasmita, et al.. (2024). A Review on Metaheuristic Approaches for Optimization Problems. Studies in computational intelligence. 33–55. 7 indexed citations
2.
3.
4.
Dash, Rajashree, et al.. (2023). A Hybrid Model for Classification of Skin Cancer Images After Segmentation. International Journal of Image and Graphics. 25(3). 2 indexed citations
5.
6.
Dash, Rajashree, et al.. (2022). Neural Network-Based Bitcoin Pricing Using a New Mutated Climb Monkey Algorithm with TOPSIS Analysis for Sustainable Development. Mathematics. 10(22). 4370–4370. 2 indexed citations
7.
Dash, Rajashree, et al.. (2022). Performance Enhancement of the Unbalanced Text Classification Problem Through a Modified Chi Square-Based Feature Selection Technique. International Journal of Intelligent Information Technologies. 18(1). 1–23. 2 indexed citations
8.
Dash, Rajashree, et al.. (2022). A novel feature selection technique for enhancing performance of unbalanced text classification problem. Intelligent Decision Technologies. 16(1). 51–69. 3 indexed citations
9.
Dash, Rajashree, et al.. (2021). A Hybrid Fruit Fly ELM Framework for Stock Index Price Movement Prediction. 1–5. 2 indexed citations
10.
Rautray, Rasmita, et al.. (2021). ASSIE: Application of Squirrel Search Algorithm for Information Extraction Problem. 1–7. 3 indexed citations
11.
Dash, Rajashree, et al.. (2021). A TOPSIS-ELM framework for stock index price movement prediction. Intelligent Decision Technologies. 15(2). 201–220. 6 indexed citations
12.
Dash, Rajashree, et al.. (2019). An integrated TOPSIS crow search based classifier ensemble: In application to stock index price movement prediction. Applied Soft Computing. 85. 105784–105784. 50 indexed citations
13.
Rautray, Rasmita, Rasmita Dash, & Rajashree Dash. (2019). Performance analysis of Modified Shuffled Frog leaping Algorithm for Multi-document Summarization Problem. Informatica. 43(3). 1 indexed citations
14.
Dash, Rasmita, Rajashree Dash, & Rasmita Rautray. (2019). An evolutionary framework based microarray gene selection and classification approach using binary shuffled frog leaping algorithm. Journal of King Saud University - Computer and Information Sciences. 34(3). 880–891. 23 indexed citations
15.
Dash, Rajashree. (2017). An improved shuffled frog leaping algorithm based evolutionary framework for currency exchange rate prediction. Physica A Statistical Mechanics and its Applications. 486. 782–796. 28 indexed citations
16.
Dash, Rajashree, P.K. Dash, & Ranjeeta Bisoi. (2015). A differential harmony search based hybrid interval type2 fuzzy EGARCH model for stock market volatility prediction. International Journal of Approximate Reasoning. 59. 81–104. 22 indexed citations
17.
Dash, Rajashree & P.K. Dash. (2015). Stock price index movement classification using a CEFLANN with extreme learning machine. 22–28. 9 indexed citations
18.
19.
Dash, Rajashree, Pramod K. Dash, & Ranjeeta Bisoi. (2014). A self adaptive differential harmony search based optimized extreme learning machine for financial time series prediction. Swarm and Evolutionary Computation. 19. 25–42. 71 indexed citations
20.
Mishra, Debahuti, et al.. (2011). Feature Selection in Gene Expression Data Using Principal Component Analysis and Rough Set Theory. Advances in experimental medicine and biology. 696. 91–100. 20 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zhiquan Ren Breakdown of academic impact, for papers by Jie Cheng Breakdown of academic impact, for papers by Baikunth Nath Breakdown of academic impact, for papers by Abdul Quadir Breakdown of academic impact, for papers by Chen-Hao Liu Breakdown of academic impact, for papers by Zuzana Komínková Oplatková Breakdown of academic impact, for papers by Kinjal Chaudhari Breakdown of academic impact, for papers by Pei-Yi Hao Breakdown of academic impact, for papers by Weiqing Liu
Rankless by CCL
2026