Anju Sharma

700 total citations
44 papers, 469 citations indexed

About

Anju Sharma is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Anju Sharma has authored 44 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 19 papers in Information Systems and 5 papers in Signal Processing. Recurrent topics in Anju Sharma's work include IoT and Edge/Fog Computing (15 papers), Cloud Computing and Resource Management (14 papers) and Distributed and Parallel Computing Systems (11 papers). Anju Sharma is often cited by papers focused on IoT and Edge/Fog Computing (15 papers), Cloud Computing and Resource Management (14 papers) and Distributed and Parallel Computing Systems (11 papers). Anju Sharma collaborates with scholars based in India, Vietnam and Australia. Anju Sharma's co-authors include Rajesh Kumar, Simar Preet Singh, Anand Nayyar, Sharad Saxena, Priyanka Vashisht, Seema Bawa, Ashok Kumar, Kirandeep Κaur, Jemal Abawajy and Ravneet Kaur and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Informatics and Computers & Security.

In The Last Decade

Anju Sharma

41 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anju Sharma India 11 373 248 82 68 55 44 469
Diego Montero Spain 8 402 1.1× 133 0.5× 128 1.6× 86 1.3× 65 1.2× 15 448
Aymen Abdullah Alsaffar South Korea 5 320 0.9× 203 0.8× 92 1.1× 74 1.1× 40 0.7× 11 400
Toni Mastelić Croatia 10 277 0.7× 247 1.0× 98 1.2× 33 0.5× 50 0.9× 25 437
Yuan Ai China 4 323 0.9× 153 0.6× 112 1.4× 70 1.0× 45 0.8× 5 430
Mohammad Aldossary Saudi Arabia 10 296 0.8× 178 0.7× 105 1.3× 50 0.7× 39 0.7× 28 465
V. Neelanarayanan India 12 274 0.7× 196 0.8× 50 0.6× 51 0.8× 66 1.2× 31 396
Junhua Wu China 11 295 0.8× 184 0.7× 122 1.5× 55 0.8× 67 1.2× 38 401
Salman Taherizadeh Slovenia 9 354 0.9× 275 1.1× 44 0.5× 57 0.8× 54 1.0× 17 431
B. Thirumala Rao India 10 187 0.5× 221 0.9× 30 0.4× 70 1.0× 88 1.6× 26 378
Soma Bandyopadhyay India 7 258 0.7× 134 0.5× 49 0.6× 93 1.4× 98 1.8× 17 377

Countries citing papers authored by Anju Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Anju Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anju Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Anju Sharma. A scholar is included among the top collaborators of Anju 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 Anju Sharma. Anju Sharma 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.
Sharma, Anju, et al.. (2024). Advent of artificial intelligence in orthognathic surgery: Advancements and challenges. SHILAP Revista de lepidopterología. 55(2). 231–243.
2.
Saxena, Sharad, et al.. (2023). NCGTM: A Noncooperative Game-Theoretic Model to Assist IDS in Cloud Environment. IEEE Transactions on Industrial Informatics. 20(3). 3124–3132. 7 indexed citations
3.
Κaur, Kirandeep, et al.. (2023). A systematic review on resource provisioning in fog computing. Transactions on Emerging Telecommunications Technologies. 34(4). 14 indexed citations
4.
Singh, Simar Preet, Rajesh Kumar, Anju Sharma, Jemal Abawajy, & Ravneet Kaur. (2022). Energy efficient load balancing hybrid priority assigned laxity algorithm in fog computing. Cluster Computing. 25(5). 3325–3342. 14 indexed citations
5.
Singh, Simar Preet, Rajesh Kumar, Anju Sharma, & Anand Nayyar. (2020). Leveraging energy‐efficient load balancing algorithms in fog computing. Concurrency and Computation Practice and Experience. 34(13). 38 indexed citations
6.
Sharma, Anju, et al.. (2019). A Survey of Load Balancing and Implementation of Clustering-Based Approach for Clouds. Recent Advances in Computer Science and Communications. 14(3). 669–677. 1 indexed citations
7.
Saxena, Sharad, et al.. (2019). Taxonomy of Security Attacks on Cloud Environment: A Case Study on Telemedicine. 454–460. 10 indexed citations
8.
Patel, Surendra Kumar & Anju Sharma. (2018). Optimization of Dynamic Resource Scheduling Algorithm in Grid Computing Environment. International Journal of Computer Sciences and Engineering. 6(3). 19–26. 3 indexed citations
9.
Kumar, Ashok, Rajesh Kumar, & Anju Sharma. (2018). Energy Aware Resource Allocation for Clouds Using Two Level Ant Colony Optimization. Computing and Informatics. 37(1). 76–108. 8 indexed citations
10.
Sharma, Anju, et al.. (2018). Application of Multivariate Techniques in Horticulture Research-a Case Study of Apple Crop. International Journal of Bio-resource and Stress Management. 9(5). 556–561. 2 indexed citations
11.
Singh, Harpreet & Anju Sharma. (2017). An Emergency Message Dissemination Protocol Using Greedy Forwarding Technique and Clustering For Vanets. International journal of advance research, ideas and innovations in technology. 3(2). 1 indexed citations
12.
Vashisht, Priyanka, Anju Sharma, & Rajesh Kumar. (2016). Strategies for replica consistency in data grid – a comprehensive survey. Concurrency and Computation Practice and Experience. 29(4). 12 indexed citations
13.
Kumar, Ashok, Anju Sharma, & Rajesh Kumar. (2016). SERVmegh: framework for green cloud. Concurrency and Computation Practice and Experience. 29(4). 3 indexed citations
14.
Sharma, Anju, et al.. (2015). A comprehensive survey of Fault Tolerance techniques in Cloud Computing. 408–413. 12 indexed citations
15.
Sharma, Anju. (2014). Post-adoption Productivity Performance of Indian ESOP Company. 4(9). 14–21. 1 indexed citations
16.
Kumar, Rajesh, et al.. (2014). Prediction Based Proactive Thermal Virtual Machine Scheduling in Green Clouds. The Scientific World JOURNAL. 2014. 1–12. 6 indexed citations
17.
Chhabra, Abha, et al.. (2014). Energy Balance of Rural Ecosystems In India. ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences. XL-8. 411–417. 1 indexed citations
18.
Vashisht, Priyanka & Anju Sharma. (2010). Decentralized P2P Grid Resources Discovery model in LC-Trie structured overlay. 330–333. 3 indexed citations
19.
Sharma, Anju & Seema Bawa. (2008). Comparative Analysis of Resource Discovery Approaches in Grid Computing. Journal of Computers. 3(5). 18 indexed citations
20.
Dhindsa, Kuldip Singh & Anju Sharma. (1995). Analysis of Cropping Pattern Changes in Punjab During 1965-66 to 1990-91. Indian Economic Review. 30(1). 67–87. 3 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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