Ashish Sharma

164 total papers · 1.5k total citations
96 papers, 927 citations indexed

About

Ashish Sharma is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Ashish Sharma has authored 96 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Information Systems, 43 papers in Computer Networks and Communications and 24 papers in Artificial Intelligence. Recurrent topics in Ashish Sharma's work include Software Engineering Research (28 papers), Software Reliability and Analysis Research (17 papers) and Software Engineering Techniques and Practices (17 papers). Ashish Sharma is often cited by papers focused on Software Engineering Research (28 papers), Software Reliability and Analysis Research (17 papers) and Software Engineering Techniques and Practices (17 papers). Ashish Sharma collaborates with scholars based in India, United States and Saudi Arabia. Ashish Sharma's co-authors include Upendra Singh, Elizabeth Belding, Dharmender Singh Kushwaha, Kevin C. Almeroth, Prashanth Aravinda Kumar Acharya, Konstantina Papagiannaki, Saurabh Singhal, Hai-Tao Zheng, Mohit Tiwari and Ruchi Agrawal and has published in prestigious journals such as Sensors, Knowledge-Based Systems and Injury.

In The Last Decade

Ashish Sharma

79 papers receiving 833 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ashish Sharma	458	313	214	163	139	96	927
George Edwards	378 0.8×	381 1.2×	266 1.2×	49 0.3×	373 2.7×	48	889
Takayuki Osogami	380 0.8×	161 0.5×	189 0.9×	116 0.7×	117 0.8×	64	804
John W. Chinneck	413 0.9×	206 0.7×	152 0.7×	164 1.0×	236 1.7×	69	1.1k
Daniel Sadoc Menasché	629 1.4×	231 0.7×	250 1.2×	61 0.4×	128 0.9×	120	1000
Shubhashis Sengupta	461 1.0×	388 1.2×	174 0.8×	74 0.5×	263 1.9×	68	960
Man Fai Lau	215 0.5×	420 1.3×	192 0.9×	84 0.5×	73 0.5×	58	1.1k
Marco Scarpa	529 1.2×	261 0.8×	133 0.6×	54 0.3×	123 0.9×	89	863
Zhao Zhang	674 1.5×	60 0.2×	256 1.2×	96 0.6×	87 0.6×	153	1.2k
Erdoğan Doğdu	624 1.4×	297 0.9×	135 0.6×	124 0.8×	458 3.3×	65	1.2k
Brahim Hnich	355 0.8×	142 0.5×	43 0.2×	187 1.1×	213 1.5×	105	1.0k

Countries citing papers authored by Ashish Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Ashish Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashish Sharma

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

All Works

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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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