Ashish Das

535 citations
56 papers · 324 indexed · h-index 9

Ashish Das

50 papers receiving 282 citations

Peers

Ashish Das
Comparison fields: 5 of 60
  • Management Science and Operations Research 158
  • Finance 72
  • Statistics and Probability 45
  • Economics and Econometrics 104
  • Computational Theory and Mathematics 57
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Citations per year

Countries citing papers authored by Ashish Das

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside Ashish Das, 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 Ashish Das Line = papers co-authored together Ashish Das links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20202
2 20194
3 20172
4 20173
5 20173
6
Promotion of Payments through Cards and Digital means
20161
7 20161
8 20161
9
The Art of Living for ATMs in India
20142
10
A Rational Savings Bank Deposit Interest Rate in India
20112
11 20080
12
A-efficient balanced treatment incomplete block designs
20056
13
Some series of block designs with nested rows and columns.
20041
14
Estimation of ratio of variance components and optimal diallel cross designs
20031
15 20031
16 20028
17 20013
18 199510
19 19923
20 19915

About Ashish Das

Ashish Das is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering, Statistics and Probability, Computational Theory and Mathematics and Statistics, Probability and Uncertainty, having authored 56 papers that have together received 324 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (32 papers), Advanced Multi-Objective Optimization Algorithms (10 papers), Economic and Environmental Valuation (8 papers), Manufacturing Process and Optimization (8 papers), graph theory and CDMA systems (7 papers), Consumer Market Behavior and Pricing (6 papers), Digital Platforms and Economics (5 papers) and Banking stability, regulation, efficiency (5 papers). The work is most often cited by research in Management Science and Operations Research (158 citations), Finance (72 citations), Statistics and Probability (45 citations), Economics and Econometrics (104 citations) and Computational Theory and Mathematics (57 citations). Ashish Das has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Tim Bollerslev, Torben G. Andersen, Aloke Dey, Sanpei Kageyama, Rakhi Singh, Rakhi Agarwal, Angela Dean, Kashinath Chatterjee, Vinod Kumar Gupta and Saurabh Saxena. Their work appears in journals such as Journal of Statistical Planning and Inference, Biometrika, Computers & Operations Research, IEEE Transactions on Circuits & Systems II Express Briefs and Computational Statistics & Data Analysis.

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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