Sanjay Kumar Jain

679 total citations
30 papers, 434 citations indexed

About

Sanjay Kumar Jain is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Sanjay Kumar Jain has authored 30 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 18 papers in Information Systems and 7 papers in Signal Processing. Recurrent topics in Sanjay Kumar Jain's work include Topic Modeling (9 papers), Data Mining Algorithms and Applications (6 papers) and Recommender Systems and Techniques (6 papers). Sanjay Kumar Jain is often cited by papers focused on Topic Modeling (9 papers), Data Mining Algorithms and Applications (6 papers) and Recommender Systems and Techniques (6 papers). Sanjay Kumar Jain collaborates with scholars based in India and Iraq. Sanjay Kumar Jain's co-authors include Amit Kumar Mishra, Chhavi Rana, Neha Goyal, Mrityunjay Singh, Shalini Karn, Sarvesh Kumar, S. Devi and Rajeev Mohan Sharma and has published in prestigious journals such as Construction and Building Materials, Artificial Intelligence Review and Swarm and Evolutionary Computation.

In The Last Decade

Sanjay Kumar Jain

27 papers receiving 398 citations

Peers

Sanjay Kumar Jain
Jian Kang United States
Aminu Da’u Malaysia
Said Al Faraby Indonesia
Irfan Ullah Pakistan
Muzamil Ahmed Pakistan
Gada Kadoda United Kingdom
Jian Kang United States
Sanjay Kumar Jain
Citations per year, relative to Sanjay Kumar Jain Sanjay Kumar Jain (= 1×) peers Jian Kang

Countries citing papers authored by Sanjay Kumar Jain

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay Kumar Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjay Kumar Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Kumar Jain. A scholar is included among the top collaborators of Sanjay Kumar Jain based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sanjay Kumar Jain. Sanjay Kumar Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Jain, Sanjay Kumar, et al.. (2021). A survey on non-factoid question answering systems. International Journal of Computers and Applications. 44(9). 830–837. 4 indexed citations
3.
Jain, Sanjay Kumar, et al.. (2021). Analyzing Linguistic Features for Classifying Why-Type Non-Factoid Questions. International Journal of Information Technology and Web Engineering. 16(3). 21–38. 1 indexed citations
4.
Jain, Sanjay Kumar, et al.. (2020). Causality for Question Answering.. 884–893. 2 indexed citations
5.
Jain, Sanjay Kumar, et al.. (2020). A Brief Survey on Techniques Used in Discovering Time Series Motifs. SSRN Electronic Journal. 1 indexed citations
6.
Jain, Sanjay Kumar, et al.. (2019). An incremental learning approach for the text categorization using hybrid optimization. International Journal of Intelligent Computing and Cybernetics. 12(3). 333–351. 5 indexed citations
7.
Jain, Sanjay Kumar, et al.. (2019). Optimization driven cluster based indexing and matching for the document retrieval. Journal of King Saud University - Computer and Information Sciences. 34(3). 851–861. 4 indexed citations
8.
Jain, Sanjay Kumar, et al.. (2018). A state-of-the-art Recommender Systems: An overview on Concepts, Methodology and Challenges. 1769–1774. 6 indexed citations
9.
Jain, Sanjay Kumar, et al.. (2017). Why-type Question Classification in Question Answering System.. 149–153. 4 indexed citations
10.
11.
Jain, Sanjay Kumar, et al.. (2017). A survey on solving cold start problem in recommender systems. 133–138. 81 indexed citations
12.
Singh, Mrityunjay & Sanjay Kumar Jain. (2017). TripletDS: a prototype of dataspace system based on triple data model. 3(3). 144–144. 1 indexed citations
13.
Goyal, Neha & Sanjay Kumar Jain. (2016). A comparative study of different frequent pattern mining algorithm for uncertain data: A survey. 183–187. 2 indexed citations
14.
Goyal, Neha & Sanjay Kumar Jain. (2016). An efficient algorithm for mining top-rank-K frequent patterns from uncertain databases. 324–328. 1 indexed citations
15.
Mishra, Amit Kumar & Sanjay Kumar Jain. (2015). A survey on question answering systems with classification. Journal of King Saud University - Computer and Information Sciences. 28(3). 345–361. 125 indexed citations
17.
Kumar, Sarvesh, Sanjay Kumar Jain, & Rajeev Mohan Sharma. (2014). Diversification of web search results using post-retrieval clustering. 18. 1–6. 1 indexed citations
18.
Rana, Chhavi & Sanjay Kumar Jain. (2014). An extended evolutionary clustering algorithm for an adaptive recommender system. Social Network Analysis and Mining. 4(1). 10 indexed citations
19.
Rana, Chhavi & Sanjay Kumar Jain. (2012). A study of the dynamic features of recommender systems. Artificial Intelligence Review. 43(1). 141–153. 49 indexed citations
20.
Jain, Sanjay Kumar, et al.. (1998). Techno-commercial perspective study for sintered fly ash light-weight aggregates in India. Construction and Building Materials. 12(6-7). 341–346. 46 indexed citations

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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