Aman Agarwal

569 citations
23 papers · 293 · h-index 8

Impact in

    • Spam and Phishing Detection
    • Recommender Systems and Techniques
    • Sentiment Analysis and Opinion Mining
    • Topic Modeling
    • Text and Document Classification Technologies

Papers in

Aman Agarwal

18 papers receiving 271 citations

Peers

Aman Agarwal
Comparison fields: 5 of 68
  • Information Systems 146
  • Artificial Intelligence 149
  • Management Science and Operations Research 52
  • Computer Science Applications 21
  • Signal Processing 31
Replace Donghai Guan with:
Donghai Guan China
Xian Wu United States
Zengxiang Li China
S. Karthika India
Iman Vakilinia United States
Paweł Ksieniewicz Poland
Hongsheng Hu Australia
Addi Ait‐Mlouk Morocco
Shaurya Gupta India
Majid Alshammari Saudi Arabia
Aman Agarwal relative to Donghai Guan China Donghai Guan's profile →
Citations per field
00.5×4.9×
Donghai Guan · 1×
Citations per year

Countries citing papers authored by Aman Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Aman Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202070
2 201961
3 201447
4 201934
5 199723
6 201912
7 202110
8 20197
9 20157
10 20206
11
Counterfactual Learning-to-Rank for Additive Metrics and Deep Models
20183
12 20213
13 20222
14 20182
15 20212
16 20192
17 20151
18 20201
19 20240
20 20240

About Aman Agarwal

Aman Agarwal is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 23 papers that have together received 293 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (2 papers), Advanced Malware Detection Techniques (2 papers), Anomaly Detection Techniques and Applications (2 papers), Network Security and Intrusion Detection (2 papers), Spam and Phishing Detection (2 papers), Mechanical Engineering and Vibrations Research (2 papers), Fermentation and Sensory Analysis (2 papers) and Recycling and Waste Management Techniques (1 paper). The work is most often cited by research in Information Systems (146 citations), Artificial Intelligence (149 citations), Management Science and Operations Research (52 citations), Computer Science Applications (21 citations) and Signal Processing (31 citations). Aman Agarwal has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Mamta Mittal, Lalit Mohan Goyal, Thorsten Joachims, Saptarsi Goswami, Michael Bendersky, Marc Najork, Xuanhui Wang, Cheng Li, G.N. Roberts and Robert Sutton. Their work appears in journals such as Industrial & Engineering Chemistry Research, SAE technical papers on CD-ROM/SAE technical paper series, Vector-Borne and Zoonotic Diseases, Plasma Physics and Controlled Fusion and Journal of Enterprise Information Management.

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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