Sagar Jain

1.7k citations
27 papers · 654 · h-index 8

Impact in

Papers in

Sagar Jain

24 papers receiving 602 citations

Peers

Sagar Jain
Comparison fields: 5 of 82
  • Software 51
  • Information Systems 285
  • Safety Research 77
  • Artificial Intelligence 282
  • Management Science and Operations Research 85
Replace Gerald C. Gannod with:
Gerald C. Gannod United States
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Citations per field
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Citations per year

Countries citing papers authored by Sagar Jain

Since Specialization
Citations

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

Fields of papers citing papers by Sagar Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018192
2 1996181
3 200971
4 201870
5 201866
6 201816
7 200912
8
Factorized Recurrent Neural Architectures for Longer Range Dependence
20187
9
DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems.
20205
10 19745
11 20204
12 19943
13 19933
14 20133
15 19723
16 20132
17 20212
18
Personnel management in India : its evolution and present status
19682
19
Indian Manager His Social Origin And Career
19711
20 20131

About Sagar Jain

Sagar Jain is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Electrical and Electronic Engineering and Biomedical Engineering, having authored 27 papers that have together received 654 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (5 papers), Analog and Mixed-Signal Circuit Design (3 papers), Expert finding and Q&A systems (2 papers), Global Maternal and Child Health (2 papers), Formal Methods in Verification (2 papers), Low-power high-performance VLSI design (2 papers), Quantum-Dot Cellular Automata (2 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Software (51 citations), Information Systems (285 citations), Safety Research (77 citations), Artificial Intelligence (282 citations) and Management Science and Operations Research (85 citations). Sagar Jain has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Ed H., Alex Beutel, Sumit Gulwani, Eric Koskinen, Jia Li, Can Xu, Konstantina Christakopoulou, Rui Li, Mark Wilhelm and Jennifer Gillenwater. Their work appears in journals such as Journal of Policy Analysis and Management, Journal of Marriage and the Family, Health Policy, Administrative Science Quarterly and ACM SIGPLAN Notices.

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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