Akhter Mohiuddin Rather

685 total citations · 1 hit paper
11 papers, 447 citations indexed

About

Akhter Mohiuddin Rather is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Akhter Mohiuddin Rather has authored 11 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Science and Operations Research, 7 papers in Electrical and Electronic Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Akhter Mohiuddin Rather's work include Stock Market Forecasting Methods (9 papers), Energy Load and Power Forecasting (7 papers) and Neural Networks and Applications (4 papers). Akhter Mohiuddin Rather is often cited by papers focused on Stock Market Forecasting Methods (9 papers), Energy Load and Power Forecasting (7 papers) and Neural Networks and Applications (4 papers). Akhter Mohiuddin Rather collaborates with scholars based in India. Akhter Mohiuddin Rather's co-authors include Arun Agarwal and V. N. Sastry and has published in prestigious journals such as Expert Systems with Applications, Knowledge and Information Systems and OPSEARCH.

In The Last Decade

Akhter Mohiuddin Rather

11 papers receiving 426 citations

Hit Papers

Recurrent neural network and a hybrid model for predictio... 2014 2026 2018 2022 2014 100 200 300

Peers

Akhter Mohiuddin Rather
Comparison fields: 5 of 65
  • Management Science and Operations Research 335
  • Electrical and Electronic Engineering 173
  • Economics and Econometrics 131
  • Finance 103
  • Artificial Intelligence 101
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Citations per field, relative to Akhter Mohiuddin Rather
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Citations per year, relative to Akhter Mohiuddin Rather
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Countries citing papers authored by Akhter Mohiuddin Rather

Since Specialization
Citations

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

Fields of papers citing papers by Akhter Mohiuddin Rather

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akhter Mohiuddin Rather. 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 Akhter Mohiuddin Rather. The network helps show where Akhter Mohiuddin Rather may publish in the future.

Co-authorship network of co-authors of Akhter Mohiuddin Rather

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 7
2 1
3 31
4 42
5 4
6 7
7 2
8
Recurrent neural network and a hybrid model for prediction of stock returns breakdown →
337
9 2
10 3
11 11

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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