Deepak Kumar Agarwal

7.2k citations
198 papers · 5.0k · 2 hit papers · h-index 34

Impact in

Papers in

Deepak Kumar Agarwal

181 papers receiving 4.6k citations

Deepak Kumar Agarwal's Hit Papers

Regression-based latent factor models 2009 · 386 citations
3860+6+12Years since publication100200300400500

Peers

Deepak Kumar Agarwal
Comparison fields: 5 of 189
  • Fluid Flow and Transfer Processes 857
  • Information Systems 1.2k
  • Urology 230
  • Management Science and Operations Research 448
  • Computational Mathematics 22
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Citations per field
00.5×5×10×14.4×
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Citations per year

Countries citing papers authored by Deepak Kumar Agarwal

Since Specialization
Citations

This map shows the geographic impact of Deepak Kumar 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 Kumar 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 Kumar Agarwal more than expected).

Fields of papers citing papers by Deepak Kumar Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 198 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Performance and emissions characteristics of Jatropha oil (preheated and blends) in a direct injection compression ignition engine
Hit paper breakdown →
2007515
2
Regression-based latent factor models
Hit paper breakdown →
2009386
3 2007302
4 2006277
5 2010208
6 2018193
7 2011112
8 2015105
9 2019104
10 200996
11 200988
12 201679
13 201069
14 198668
15 200462
16 200159
17 201657
18 201156
19 200656
20 200655

About Deepak Kumar Agarwal

Deepak Kumar Agarwal is a scholar working on Urology, Pulmonary and Respiratory Medicine, Information Systems, Management Science and Operations Research and Artificial Intelligence, having authored 198 papers that have together received 5.0k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (25 papers), Kidney Stones and Urolithiasis Treatments (21 papers), Urinary Bladder and Prostate Research (18 papers), Advanced Bandit Algorithms Research (15 papers), Gallbladder and Bile Duct Disorders (14 papers), Pediatric Urology and Nephrology Studies (10 papers), Biodiesel Production and Applications (8 papers) and Pediatric Hepatobiliary Diseases and Treatments (7 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (857 citations), Information Systems (1.2k citations), Urology (230 citations), Management Science and Operations Research (448 citations) and Computational Mathematics (22 citations). Deepak Kumar Agarwal has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Bee-Chung Chen, Avinash Kumar Ágarwal, Shailendra Sinha, Pradheep Elango, Amy Elizabeth Krambeck, Marcelino Rivera, Vivek A. Saraswat, Tim Large, G. Choudhuri and Radha Krishan Dhiman. Their work appears in journals such as Journal of Endourology, Urology, World Journal of Urology, Journal of Energy Resources Technology and The Journal of Urology.

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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