Ashok Sharma

615 total citations
54 papers, 358 citations indexed

About

Ashok Sharma is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ashok Sharma has authored 54 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 15 papers in Computer Networks and Communications and 10 papers in Information Systems. Recurrent topics in Ashok Sharma's work include Mobile Ad Hoc Networks (8 papers), Opportunistic and Delay-Tolerant Networks (8 papers) and Machine Learning in Bioinformatics (4 papers). Ashok Sharma is often cited by papers focused on Mobile Ad Hoc Networks (8 papers), Opportunistic and Delay-Tolerant Networks (8 papers) and Machine Learning in Bioinformatics (4 papers). Ashok Sharma collaborates with scholars based in India, United States and Singapore. Ashok Sharma's co-authors include M. Tanveer, Ponnuthurai Nagaratnam Suganthan, Parul Gupta, Juhi Gupta, Divakar Yadav, Bharat Richhariya, Amar Singh, Amit Kumar Goel, Navin Rajpal and Prasenjit Mondal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Neurocomputing.

In The Last Decade

Ashok Sharma

45 papers receiving 325 citations

Peers

Ashok Sharma
Jigui Sun China
Ashok Sharma
Citations per year, relative to Ashok Sharma Ashok Sharma (= 1×) peers Jigui Sun

Countries citing papers authored by Ashok Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Ashok Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashok Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Ashok Sharma. A scholar is included among the top collaborators of Ashok 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 Ashok Sharma. Ashok 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
4.
Singh, Amar, et al.. (2023). Ensemble Deep Learning Network Model for Dropout Prediction in MOOCs. International journal of electrical and computer engineering systems. 14(2). 187–196. 9 indexed citations
5.
6.
Sharma, Ashok, et al.. (2021). Performance Analysis of Fuzzy C-means (FCM) and Possibilistic C-means Algorithm (PCM) for Protein Sequence Clustering. SSRN Electronic Journal. 1 indexed citations
7.
Sharma, Ashok, et al.. (2020). Effective Congestion Control In MANET. 86–90. 5 indexed citations
8.
Sharma, Ashok, et al.. (2019). Automatic Speech Recognition Systems for Regional Languages in India. International Journal of Recent Technology and Engineering (IJRTE). 8(2S3). 585–592. 5 indexed citations
9.
Sharma, Ashok, et al.. (2019). Students’ Attitude toward Carbon Footprints of a Leading Private University in India. SHILAP Revista de lepidopterología. 5. 1–1. 2 indexed citations
10.
Richhariya, Bharat, Ashok Sharma, & M. Tanveer. (2018). Improved universum twin support vector machine. 2045–2052. 15 indexed citations
11.
Sharma, Ashok, et al.. (2017). An Efficient User Preference and Page Relevance based Page Ranking Algorithm. Indian Journal of Science and Technology. 10(37). 1–7. 3 indexed citations
12.
Yadav, Priyanka, et al.. (2014). MODELING OF AMBIENT FOR SOx AND NOx POLLUTANTSTHROUGH ARTIFICAL NEURAL NETWORK ININDUSTRIAL AREA OF UJJAIN CITY. I Control Pollution. 30(1).
13.
Rajpal, Navin, et al.. (2014). Address allocation for MANET merge and partition using cluster based routing. SpringerPlus. 3(1). 605–605. 7 indexed citations
14.
Wang, Biao, Kenneth N. McKay, Jennifer Jewer, & Ashok Sharma. (2013). Physician shift behavior and its impact on service performances in an emergency department. 2350–2361. 8 indexed citations
15.
Mishra, Atul, et al.. (2012). An Analysis of Management Cost for Mobile Agent based Network Management Model. International Journal of Computer Applications. 42(5). 19–28. 2 indexed citations
16.
Yadav, Divakar, Ashok Sharma, & Juhi Gupta. (2008). Parallel crawler architecture and web page change detection. WSEAS Transactions on Computers archive. 7(7). 929–940. 14 indexed citations
17.
Sharma, Ashok, et al.. (2007). The Role of Election Commission of India in strengthening the largest Democracy of the World. 6. 289–306. 1 indexed citations
18.
Sharma, Ashok, et al.. (2006). A power managed based multicast routing protocol for mobile ad hoc network. 5 pp.–5. 4 indexed citations
19.
Goswami, S., Vivek K. Gupta, Ashok Sharma, & B.D. Gupta. (2005). Supramolecular structure of S-(+)-marmesin—a linear dihydrofuranocoumarin. Bulletin of Materials Science. 28(7). 725–729. 8 indexed citations
20.
Sharma, Ashok, et al.. (2005). Moment-to-Moment Node Transition Awareness Protocol (MOMENTAP). International Journal of Computers and Applications. 27(1). 7 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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