Jivitesh Sharma

624 total citations
16 papers, 194 citations indexed

About

Jivitesh Sharma is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Jivitesh Sharma has authored 16 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 3 papers in Molecular Biology. Recurrent topics in Jivitesh Sharma's work include Optimization and Search Problems (4 papers), Machine Learning and Algorithms (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Jivitesh Sharma is often cited by papers focused on Optimization and Search Problems (4 papers), Machine Learning and Algorithms (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Jivitesh Sharma collaborates with scholars based in Norway, India and Austria. Jivitesh Sharma's co-authors include Ole‐Christoffer Granmo, Morten Goodwin, Ram Narayan Yadav, H. S. Chauhan, Sanyam Shukla, Bjørn Erik Munkvold, Lei Jiao, Xuan Zhang, Alena Bartoňová and Katie Hart and has published in prestigious journals such as SHILAP Revista de lepidopterología, Building and Environment and Agricultural Water Management.

In The Last Decade

Jivitesh Sharma

13 papers receiving 187 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jivitesh Sharma Norway 8 76 48 29 28 20 16 194
Prakhar Srivastava India 7 67 0.9× 27 0.6× 6 0.2× 21 0.8× 27 1.4× 25 259
Anca Hângan Romania 9 56 0.7× 87 1.8× 11 0.4× 21 0.8× 11 0.6× 40 250
Isha Kansal India 11 78 1.0× 39 0.8× 11 0.4× 8 0.3× 26 1.3× 39 309
Lun-Chi Chen Taiwan 10 59 0.8× 9 0.2× 6 0.2× 8 0.3× 8 0.4× 28 238
Hugo Riggs United States 6 74 1.0× 46 1.0× 22 0.8× 62 2.2× 2 0.1× 16 238
Himanshu Rai Goyal India 9 46 0.6× 59 1.2× 15 0.5× 6 0.2× 4 0.2× 61 213
Hussain Mobarak Albarakati Saudi Arabia 10 53 0.7× 50 1.0× 4 0.1× 8 0.3× 42 2.1× 30 246
M. Adimoolam India 9 78 1.0× 51 1.1× 20 0.7× 7 0.3× 4 0.2× 26 232
Lucas Amorim Brazil 4 62 0.8× 17 0.4× 40 1.4× 11 0.4× 3 0.1× 8 236

Countries citing papers authored by Jivitesh Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Jivitesh Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jivitesh Sharma

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

All Works

16 of 16 papers shown
1.
Bartoňová, Alena, Britt Ann Kåstad Høiskar, Jivitesh Sharma, et al.. (2025). Predicting the student’s perceptions of multi-domain environmental factors in a Norwegian school building: Machine learning approach. Building and Environment. 280. 113144–113144.
2.
3.
Sharma, Jivitesh, et al.. (2023). Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 13547–13555. 10 indexed citations
4.
Goodwin, Morten, et al.. (2023). A comparison between Tsetlin machines and deep neural networks in the context of recommendation systems. arXiv (Cornell University). 4. 3 indexed citations
5.
Granmo, Ole‐Christoffer, et al.. (2023). Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. 3395–3403. 8 indexed citations
6.
Granmo, Ole‐Christoffer, et al.. (2023). Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital. BMC Medical Informatics and Decision Making. 23(1). 5–5. 26 indexed citations
7.
Granmo, Ole‐Christoffer, et al.. (2023). Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records. BMC Medical Informatics and Decision Making. 23(1). 188–188. 15 indexed citations
8.
Granmo, Ole‐Christoffer, et al.. (2023). Verifying Properties of Tsetlin Machines. 1–8.
9.
Sharma, Jivitesh, et al.. (2022). Focused Negative Sampling for Increased Discriminative Power in Tsetlin Machines. 73–80. 2 indexed citations
10.
Sharma, Jivitesh, et al.. (2021). An Identification and Classification of Thyroid Diseases Using Deep Learning Methodology. Revista Gestão Inovação e Tecnologias. 11(2). 2004–2015. 2 indexed citations
11.
Sharma, Jivitesh, Ole‐Christoffer Granmo, & Morten Goodwin. (2019). Environment Sound Classification using Multiple Feature Channels and Deep Convolutional Neural Networks. arXiv (Cornell University). 8 indexed citations
12.
Sharma, Jivitesh, et al.. (2019). Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation. SHILAP Revista de lepidopterología. 2019(1). 69 indexed citations
13.
Sharma, Jivitesh, et al.. (2019). Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms. 2. 882–888. 1 indexed citations
14.
Shukla, Sanyam, et al.. (2015). Analysis of statistical features for fault detection in ball bearing. 1–7. 28 indexed citations
15.
Shukla, Sanyam, et al.. (2015). A novel sparse ensemble pruning algorithm using a new diversity measure. 6. 1–4. 1 indexed citations
16.
Chauhan, H. S., et al.. (1994). Optimal operation scheduling model for a canal system. Agricultural Water Management. 26(3). 213–225. 21 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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