Deepak Agarwal

59 papers receiving 1.0k citations

Peers

Deepak Agarwal
Comparison fields: 5 of 91
  • Management Science and Operations Research 326
  • Marketing 128
  • Information Systems 290
  • Artificial Intelligence 320
  • Computer Networks and Communications 161
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Wei Jian China
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Citations per year

Countries citing papers authored by Deepak Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008122
2 2013104
3 200794
4
Online Models for Content Optimization
200874
5 201670
6 201568
7 201357
8 201454
9 200754
10 201448
11 201540
12 200737
13 201736
14 201233
15
Personalized Recommendation of User Comments via Factor Models
201129
16 201623
17 200620
18 201314
19
Linear-Time Estimators for Propensity Scores
201111
20 20049

About Deepak Agarwal

Deepak Agarwal is a scholar working on Mechanical Engineering, Aerospace Engineering, Computational Mechanics, Artificial Intelligence and Information Systems, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Spacecraft and Cryogenic Technologies (10 papers), Rocket and propulsion systems research (8 papers), Advanced Bandit Algorithms Research (8 papers), Heat transfer and supercritical fluids (7 papers), Advanced Machining and Optimization Techniques (6 papers), Advanced machining processes and optimization (6 papers), Recommender Systems and Techniques (5 papers) and Nanofluid Flow and Heat Transfer (4 papers). The work is most often cited by research in Management Science and Operations Research (326 citations), Marketing (128 citations), Information Systems (290 citations), Artificial Intelligence (320 citations) and Computer Networks and Communications (161 citations). Deepak Agarwal has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Deepayan Chakrabarti, Aravind Vaidyanathan, Vanja Josifovski, Sandeep Kumar, Sandeep Pandey, S. Sunil Kumar, Bee-Chung Chen, Gagan Agrawal, Pradheep Elango and Ajit Singh. Their work appears in journals such as Applied Thermal Engineering, Cryogenics, Experimental Thermal and Fluid Science, Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering and Journal of Biopharmaceutical Statistics.

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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