Uttam Chauhan

417 total citations
13 papers, 244 citations indexed

About

Uttam Chauhan is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Uttam Chauhan has authored 13 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Information Systems and 2 papers in Computer Networks and Communications. Recurrent topics in Uttam Chauhan's work include Topic Modeling (5 papers), Advanced Text Analysis Techniques (5 papers) and Recommender Systems and Techniques (2 papers). Uttam Chauhan is often cited by papers focused on Topic Modeling (5 papers), Advanced Text Analysis Techniques (5 papers) and Recommender Systems and Techniques (2 papers). Uttam Chauhan collaborates with scholars based in India, Romania and United States. Uttam Chauhan's co-authors include Apurva Shah, Dhruvil Shah, Aakash Shah, Sudeep Tanwar, Maria Simona Raboacă, Ravi Sharma, Marina Verdeș, Jitendra Bhatia, Daniela Lucia Manea and Madhuri Bhavsar and has published in prestigious journals such as Sensors, ACM Computing Surveys and Information Processing in Agriculture.

In The Last Decade

Uttam Chauhan

11 papers receiving 233 citations

Peers

Countries citing papers authored by Uttam Chauhan

Since Specialization

Citations

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

Fields of papers citing papers by Uttam Chauhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uttam Chauhan

This figure shows the co-authorship network connecting the top 25 collaborators of Uttam Chauhan. A scholar is included among the top collaborators of Uttam Chauhan 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 Uttam Chauhan. Uttam Chauhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	Crowd Emotion and Behavior Analysis Using Lightweight CNN Model 2024 ·International Journal of Electrical and Electronics Engineering ·(unknown), (unknown), Uttam Chauhan, (unknown)	0
2	Recommendation Systems: Types, Applications, and Challenges 2023 ·International Journal of Computing and Digital Systems ·(unknown), (unknown), Uttam Chauhan	3
3	Modeling Topics in DFA-Based Lemmatized Gujarati Text 2023 ·Sensors ·Uttam Chauhan, (unknown), (unknown), (unknown), (unknown), Jitendra Bhatia, Sudeep Tanwar, Ravi Sharma, Marina Verdeș, Maria Simona Raboacă	3
4	EV Charging Station with Coin Based Payment System with Solar Power 2022 ·International Journal for Research in Applied Science and Engineering Technology ·(unknown), (unknown), (unknown), Uttam Chauhan, (unknown)	1
5	An Overview of Fog Data Analytics for IoT Applications 2022 ·Sensors ·Jitendra Bhatia, (unknown), (unknown), (unknown), Uttam Chauhan, Sudeep Tanwar, Madhuri Bhavsar, Ravi Sharma, Daniela Lucia Manea, Marina Verdeș, Maria Simona Raboacă	20
6	Topic Modeling Using Latent Dirichlet allocation 2021 ·ACM Computing Surveys ·Uttam Chauhan, Apurva Shah	129
7	ResTS: Residual Deep interpretable architecture for plant disease detection 2021 ·Information Processing in Agriculture ·Dhruvil Shah, (unknown), (unknown), Aakash Shah, Uttam Chauhan	74
8	Improving Semantic Coherence of Gujarati Text Topic Model Using Inflectional Forms Reduction and Single-letter Words Removal 2021 ·ACM Transactions on Asian and Low-Resource Language Information Processing ·Uttam Chauhan, Apurva Shah	3
9	Advancement of Text Summarization Using Machine Learning and Deep Learning: A Review 2020 ·Lecture notes in networks and systems ·(unknown), (unknown), Uttam Chauhan	1
10	The Architecture for Optimizing Semantic Topical Coherence in Gujarati Text Topic Modeling 2018 ·Uttam Chauhan, Apurva Shah, Uday Narayan Yadav	0
11	A Neoteric Web Recommender System based on Approach of Mining Frequent Sequential Pattern from Customized Web Log Preprocessing 2013 ·International Journal of Computer Applications ·(unknown), (unknown), Uttam Chauhan	2
12	An efficient web recommender system based on approach of mining frequent sequential pattern from customized web log preprocessing 2013 ·2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT) ·(unknown), Uttam Chauhan	7
13	An Adaptive Classification approach to filter spam E-mail using Vector Space Model 2012 ·International Journal of Managment, IT and Engineering ·(unknown), Uttam Chauhan, (unknown)	1

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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