Renu Dhir

642 total citations
44 papers, 408 citations indexed

About

Renu Dhir is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Renu Dhir has authored 44 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 15 papers in Artificial Intelligence and 10 papers in Computer Networks and Communications. Recurrent topics in Renu Dhir's work include Software Engineering Research (8 papers), Software Reliability and Analysis Research (7 papers) and Wireless Body Area Networks (5 papers). Renu Dhir is often cited by papers focused on Software Engineering Research (8 papers), Software Reliability and Analysis Research (7 papers) and Wireless Body Area Networks (5 papers). Renu Dhir collaborates with scholars based in India. Renu Dhir's co-authors include Harsh Kumar Verma, Nonita Sharma, Geeta Sikka, Apoorv Agarwal, Vivek Sharma, Raman Kumar, Anuj Sharma, Akshi Kumar, Aarti Aarti and Mohit Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Monitoring and Assessment and Multimedia Tools and Applications.

In The Last Decade

Renu Dhir

40 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Renu Dhir India	12	141	94	80	75	49	44	408
Laura Elena Raileanu Switzerland	6	211 1.5×	37 0.4×	55 0.7×	34 0.5×	107 2.2×	12	570
Karolj Skala Croatia	11	60 0.4×	164 1.7×	83 1.0×	22 0.3×	78 1.6×	69	453
Wei Zhong United States	9	170 1.2×	140 1.5×	50 0.6×	12 0.2×	37 0.8×	34	414
John Graham-Cumming United Kingdom	5	73 0.5×	38 0.4×	81 1.0×	19 0.3×	30 0.6×	12	388
Stefan Wegenkittl Austria	11	122 0.9×	35 0.4×	22 0.3×	22 0.3×	123 2.5×	30	529
Kui Fang China	12	73 0.5×	50 0.5×	61 0.8×	10 0.1×	35 0.7×	39	420
Deepti Gupta United States	11	163 1.2×	186 2.0×	97 1.2×	15 0.2×	52 1.1×	40	446
Swee Chuan Tan Singapore	9	232 1.6×	158 1.7×	63 0.8×	22 0.3×	43 0.9×	21	382

Countries citing papers authored by Renu Dhir

Since Specialization

Citations

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

Fields of papers citing papers by Renu Dhir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renu Dhir

This figure shows the co-authorship network connecting the top 25 collaborators of Renu Dhir. A scholar is included among the top collaborators of Renu Dhir 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 Renu Dhir. Renu Dhir 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

Kumar, Mohit, et al.. (2025). Privacy-preserving federated learning in asynchronous environment using homomorphic encryption. Journal of Information Security and Applications. 93. 104116–104116.

Kumar, Mohit, et al.. (2024). Unleashing the prospective of blockchain-federated learning fusion for IoT security: A comprehensive review. Computer Science Review. 54. 100685–100685. 8 indexed citations

Dhir, Renu, et al.. (2024). CRLSTM-HEXNET: Hybrid Deep Learning Framework with Harris Hawk Optimization in Multi-Label Classification. International Journal of Image and Graphics. 26(2).

Dhir, Renu, et al.. (2024). Spatio-temporal analysis and prediction of land use land cover (LULC) change in Wular Lake, Jammu and Kashmir, India. Environmental Monitoring and Assessment. 196(9). 782–782. 3 indexed citations

Rani, Rajneesh, et al.. (2023). Random Projection-Based Cancelable Iris Biometrics for Human Identification Using Deep Learning. Arabian Journal for Science and Engineering. 49(3). 3815–3828. 3 indexed citations

Kaur, Kamalpreet, et al.. (2023). Automatic Detection of Cloudy and Non-Cloudy SAR Images Using Convolutional Neural Networks. 15. 350–355. 1 indexed citations

Dhir, Renu, et al.. (2022). Land use land cover classification of remote sensing images based on the deep learning approaches: a statistical analysis and review. Arabian Journal of Geosciences. 15(10). 56 indexed citations

Verma, Harsh Kumar, et al.. (2021). An Intelligent and Energy-Efficient Wireless Body Area Network to Control Coronavirus Outbreak. Arabian Journal for Science and Engineering. 46(9). 8203–8222. 24 indexed citations

Aarti, Aarti, Geeta Sikka, & Renu Dhir. (2020). Grey relational classification algorithm for software fault proneness with SOM clustering. International Journal of Data Mining Modelling and Management. 12(1). 28–28. 2 indexed citations

10.

Verma, Harsh Kumar, et al.. (2020). Performance and evaluation of energy optimization techniques for wireless body area networks. Beni-Suef University Journal of Basic and Applied Sciences. 9(1). 15 indexed citations

11.

Verma, Harsh Kumar, et al.. (2019). An Energy Efficient Health Monitoring System using Relay Node in Wireless Body Area Networks. SHILAP Revista de lepidopterología. 5(20). e6–e6. 3 indexed citations

12.

Sikka, Geeta & Renu Dhir. (2017). An Investigation on the Metric Threshold for Fault- Proneness. International Journal of Education and Management Engineering. 7(3). 35–42. 2 indexed citations

13.

Dhir, Renu, et al.. (2017). An automatic human chromosome metaspread image selection technique. Knowledge and Information Systems. 52(3). 773–790. 5 indexed citations

14.

Dhir, Renu, et al.. (2017). A Bi-Criteria Hybrid Grey Wolf Approach for Parallel Machine Job Scheduling. International Journal of Applied Metaheuristic Computing. 8(2). 49–71. 1 indexed citations

15.

Dhir, Renu, et al.. (2016). Correlation-based feature selection and classification via regression of segmented chromosomes using geometric features. Medical & Biological Engineering & Computing. 55(5). 733–745. 18 indexed citations

16.

Dhir, Renu, et al.. (2016). Software Module Clustering Using Hybrid SocioEvolutionary Algorithms. International Journal of Information Engineering and Electronic Business. 8(4). 43–53. 5 indexed citations

17.

Sharma, Vivek, Apoorv Agarwal, Renu Dhir, & Geeta Sikka. (2016). Sentiments mining and classification of music lyrics using SentiWordNet. 1–6. 6 indexed citations

18.

Agarwal, Apoorv, Vivek Sharma, Geeta Sikka, & Renu Dhir. (2016). Opinion mining of news headlines using SentiWordNet. 1–5. 28 indexed citations

19.

Dhir, Renu, et al.. (2015). A review of metaphase chromosome image selection techniques for automatic karyotype generation. Medical & Biological Engineering & Computing. 54(8). 1147–1157. 28 indexed citations

20.

Dhir, Renu, et al.. (2010). A Frequent Concepts Based Document Clustering Algorithm. International Journal of Computer Applications. 4(5). 6–12. 34 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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