Rekha Singhal

425 total citations
69 papers, 225 citations indexed

About

Rekha Singhal is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Rekha Singhal has authored 69 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 33 papers in Information Systems and 19 papers in Artificial Intelligence. Recurrent topics in Rekha Singhal's work include Cloud Computing and Resource Management (21 papers), Advanced Data Storage Technologies (10 papers) and Software System Performance and Reliability (9 papers). Rekha Singhal is often cited by papers focused on Cloud Computing and Resource Management (21 papers), Advanced Data Storage Technologies (10 papers) and Software System Performance and Reliability (9 papers). Rekha Singhal collaborates with scholars based in India, Germany and United States. Rekha Singhal's co-authors include Manoj Nambiar, Girishwar Misra, Mayank Mishra, Abhishek Verma, Sparsh Mittal, Pooja Singh, Ajay Kattepur, Giuliano Casale, Praveen Kumar Singh and Gautam Shroff and has published in prestigious journals such as International Journal of Intercultural Relations, Forest Policy and Economics and ACM SIGMETRICS Performance Evaluation Review.

In The Last Decade

Rekha Singhal

53 papers receiving 210 citations

Peers

Rekha Singhal
Ernst Bekkering United States
Rekha Singhal
Citations per year, relative to Rekha Singhal Rekha Singhal (= 1×) peers Ernst Bekkering

Countries citing papers authored by Rekha Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Rekha Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rekha Singhal

This figure shows the co-authorship network connecting the top 25 collaborators of Rekha Singhal. A scholar is included among the top collaborators of Rekha Singhal 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 Rekha Singhal. Rekha Singhal 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
1.
4.
Mittal, Sparsh, et al.. (2024). CLINet: A novel deep learning network for ECG signal classification. Journal of Electrocardiology. 83. 41–48. 7 indexed citations
6.
Mittal, Sparsh, et al.. (2023). VADF: V ersatile A pproximate D ata F ormats for Energy-Efficient Computing. ACM Transactions on Embedded Computing Systems. 22(5s). 1–21. 1 indexed citations
7.
Mishra, Mayank, et al.. (2023). Accelerating Model Training: Performance Antipatterns Eliminator Framework. 163–170. 1 indexed citations
8.
Khadilkar, Harshad, et al.. (2022). Performance improvement of reinforcement learning algorithms for online 3D bin packing using FPGA. 1–7. 1 indexed citations
9.
Mishra, Mayank, et al.. (2022). Pay-as-you-Train: Efficient ways of Serverless Training. 1 indexed citations
10.
Singhal, Rekha, et al.. (2022). MetaFaaS. 1–9. 1 indexed citations
11.
Singhal, Rekha, et al.. (2020). Migrating Large Deep Learning Models to Serverless Architecture. 111–116. 18 indexed citations
12.
Tambe, Sandeep, et al.. (2020). Assessing the sustainability of bamboo management in central Indian forests. Forests Trees and Livelihoods. 30(1). 28–46. 3 indexed citations
13.
Singhal, Rekha, et al.. (2017). Technology Migration Challenges in a Big Data Architecture Stack. 159–160. 1 indexed citations
14.
Chidambara, Lavanya, Rekha Singhal, Priya Srinivasan, & Naresh Kumar Yadav. (2016). UNREPORTED SIDE EFFECT OF INTRAVITREAL DICLOFENAC IN CHRONIC DIABETIC MACULAR EDEMA. Retinal Cases & Brief Reports. 12(3). 254–256. 1 indexed citations
15.
Singhal, Rekha, et al.. (2016). Database Buffer Cache Simulator to Study and Predict Cache Behavior for Query Execution. 71–78. 1 indexed citations
16.
Singhal, Rekha & Abhishek Verma. (2016). Predicting Job Completion Time in Heterogeneous MapReduce Environments. 17–27. 6 indexed citations
17.
Singh, Pooja & Rekha Singhal. (2015). Emotional Intelligence & Customer Satisfaction in Indian Banks. Indian journal of industrial relations. 51(1). 70. 4 indexed citations
18.
Singhal, Rekha, et al.. (2010). Optimal Cascaded Configuration for IP SAN on NetBSD. 2007. 212–214. 1 indexed citations
19.
Singhal, Rekha. (2003). Women, Gender and Development: The Evolution of Theories and Practice. Psychology and Developing Societies. 15(2). 165–185. 13 indexed citations
20.
Singhal, Rekha, et al.. (1999). Bamboos in India and database.. 2 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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