Arun Agarwal

2.3k citations
129 papers · 1.4k · 1 hit paper · h-index 15

Impact in

Papers in

Arun Agarwal

118 papers receiving 1.3k citations

Arun Agarwal's Hit Papers

Recurrent neural network and a hybrid model for prediction of stock returns 2014 · 344 citations
3440+4+8Years since publication100200300

Peers

Arun Agarwal
Comparison fields: 5 of 129
  • Management Science and Operations Research 318
  • Computer Networks and Communications 261
  • Finance 89
  • Signal Processing 94
  • Computer Vision and Pattern Recognition 158
Replace Soumya Sen with:
Soumya Sen India
Ayodele A. Adebiyi Nigeria
Yuanzhu Chen Canada
Ajit Singh India
Nonita Sharma India
Xi Zhang China
Yining Wang United States
Hamidou Tembiné United States
Jaewook Lee South Korea
Michael Kirley Australia
Arun Agarwal relative to Soumya Sen India Soumya Sen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Arun Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Arun Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Arun Agarwal, 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 Arun Agarwal Line = papers co-authored together Arun Agarwal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Recurrent neural network and a hybrid model for prediction of stock returns
Hit paper breakdown →
2014344
2 2015104
3 201280
4 200667
5 201651
6 201546
7 201946
8 201742
9 201434
10 199628
11 202117
12 199917
13 202016
14 201416
15 202014
16 201614
17 201513
18 201813
19 201512
20 201612

About Arun Agarwal

Arun Agarwal is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 129 papers that have together received 1.4k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (15 papers), Advanced Wireless Communication Techniques (13 papers), Handwritten Text Recognition Techniques (12 papers), Advanced MIMO Systems Optimization (11 papers), Advanced Data Storage Technologies (11 papers), Cloud Computing and Resource Management (10 papers), Advanced Welding Techniques Analysis (9 papers) and Wireless Communication Networks Research (8 papers). The work is most often cited by research in Management Science and Operations Research (318 citations), Computer Networks and Communications (261 citations), Finance (89 citations), Signal Processing (94 citations) and Computer Vision and Pattern Recognition (158 citations). Arun Agarwal has collaborated with scholars based in India, United States and Ireland. Frequent co-authors include V. N. Sastry, Akhter Mohiuddin Rather, Kabita Agarwal, Gourav Misra, Rajkumar Buyya, Raghavendra Kune, Ashwini Chhatre, Nicolas Perrin, Vivek Kumar and S. N. Asthana. Their work appears in journals such as Propellants Explosives Pyrotechnics, Software Practice and Experience, Sadhana, Future Generation Computer Systems and Pattern Recognition.

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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