Richi Nayak

3.7k total citations
180 papers, 1.7k citations indexed

About

Richi Nayak is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Richi Nayak has authored 180 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Artificial Intelligence, 86 papers in Information Systems and 30 papers in Signal Processing. Recurrent topics in Richi Nayak's work include Recommender Systems and Techniques (33 papers), Data Mining Algorithms and Applications (26 papers) and Data Management and Algorithms (23 papers). Richi Nayak is often cited by papers focused on Recommender Systems and Techniques (33 papers), Data Mining Algorithms and Applications (26 papers) and Data Management and Algorithms (23 papers). Richi Nayak collaborates with scholars based in Australia, India and United States. Richi Nayak's co-authors include Yuefeng Li, Yue Xu, Md Abul Bashar, Thirunavukarasu Balasubramaniam, Bryan S. Lee, Xiaohui Tao, Huizhi Liang, Alsayed Algergawy, Gunter Saake and Yuantong Gu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Bioresource Technology.

In The Last Decade

Richi Nayak

168 papers receiving 1.6k citations

Peers

Richi Nayak

AI

IS

CNC

CVPR

SP

Arun K. Pujari India

Flora Amato Italy

Qing Wang China

Rahul Katarya India

Azuraliza Abu Bakar Malaysia

Hillol Kargupta United States

Klemens Böhm Germany

Haiqin Yang China

Tahar Kechadi Ireland

Seyed Mojtaba Hosseini Bamakan Iran

Arun K. Pujari India

Richi Nayak

706 ×0.9

AI

592 ×0.8

IS

358 ×1.1

CNC

356 ×1.5

CVPR

323 ×1.4

SP

Citations per year, relative to Richi Nayak Richi Nayak (= 1×) peers Arun K. Pujari

Countries citing papers authored by Richi Nayak

Since Specialization

Citations

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

Fields of papers citing papers by Richi Nayak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richi Nayak

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

All Works

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20 of 20 papers shown

1.

Balasubramaniam, Thirunavukarasu, et al.. (2025). Feature engineering on climate data with machine learning to understand time-lagging effects in pasture yield prediction. Ecological Informatics. 86. 103011–103011. 2 indexed citations

2.

Nayak, Richi, et al.. (2025). Harmonizing recurring patterns and non-recurring trends in traffic datasets for enhanced estimation of missing information. Transportation Research Part C Emerging Technologies. 174. 105083–105083.

3.

Shahi, Tej Bahadur, et al.. (2025). Pasture monitoring using remote sensing and machine learning: A review of methods and applications. Remote Sensing Applications Society and Environment. 37. 101459–101459. 2 indexed citations

4.

Nayak, Richi, et al.. (2025). Development and assessment of hybrid machine learning model of biomass pyrolysis process. Chemical Engineering Science. 310. 121552–121552. 4 indexed citations

5.

Bashar, Md Abul, et al.. (2024). A novel multi-modal fusion method based on uncertainty-guided meta-learning. Pattern Recognition. 158. 110993–110993. 3 indexed citations

6.

Nayak, Richi, et al.. (2024). Twitter’s pulse on hydrogen energy in 280 characters: a data perspective. Social Network Analysis and Mining. 14(1). 2 indexed citations

7.

Balasubramaniam, Thirunavukarasu, et al.. (2023). DCCNMF: Deep Complementary and Consensus Non-negative Matrix Factorization for multi-view clustering. Knowledge-Based Systems. 285. 111330–111330. 16 indexed citations

8.

Nayak, Richi, et al.. (2023). Mining Discriminative Itemsets Over Data Streams Using Efficient Sliding Window. SN Computer Science. 4(5).

9.

Xu, Yue, et al.. (2023). DAC: Discriminative Associative Classification. SN Computer Science. 4(4). 1 indexed citations

10.

Nicolau, Dan V., et al.. (2021). Modeling Credit Risk: A Category Theory Perspective. Journal of risk and financial management. 14(7). 298–298. 2 indexed citations

11.

Nayak, Richi, et al.. (2021). Mining discriminative itemsets in data streams using the tilted-time window model. Knowledge and Information Systems. 63(5). 1241–1270. 8 indexed citations

12.

Nayak, Richi, et al.. (2014). Tensor-based item recommendation using probabilistic ranking in social tagging systems. QUT ePrints (Queensland University of Technology). 14 indexed citations

13.

Nayak, Richi, et al.. (2014). Ranking based clustering for social event detection. QUT ePrints (Queensland University of Technology). 7 indexed citations

14.

Liang, Huizhi, Yue Xu, Yuefeng Li, & Richi Nayak. (2009). Collaborative filtering recommender systems based on popular tags. QUT ePrints (Queensland University of Technology). 312–22. 5 indexed citations

15.

Nayak, Richi, et al.. (2008). Clustering and classification of maintenance logs using text data mining. QUT ePrints (Queensland University of Technology). 280(2). 193–199. 25 indexed citations

16.

Nayak, Richi. (2007). Applications of Data Mining in Healthcare. 1998. 1 indexed citations

17.

King, John D., Yuefeng Li, Xiaohui Tao, & Richi Nayak. (2007). Mining world knowledge for analysis of search engine content. Web Intelligence and Agent Systems An International Journal. 5(3). 233–253. 27 indexed citations

18.

Nayak, Richi, et al.. (2007). PCITMiner: prefix-based closed induced tree miner for finding closed induced frequent subtrees. QUT ePrints (Queensland University of Technology). 151–160. 4 indexed citations

19.

Xu, Yue, et al.. (2007). Efficient Neighbourhood Estimation for Recommenders with Large Datasets.

20.

Nayak, Richi, et al.. (2004). Data Mining Application in a Software Project Management Process. QUT ePrints (Queensland University of Technology). 1 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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