Abhishek Singhal

120 total papers · 1.4k total citations
72 papers, 877 citations indexed

About

Abhishek Singhal is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Abhishek Singhal has authored 72 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Information Systems, 22 papers in Software and 20 papers in Artificial Intelligence. Recurrent topics in Abhishek Singhal's work include Software Testing and Debugging Techniques (19 papers), Software Reliability and Analysis Research (19 papers) and Software Engineering Research (16 papers). Abhishek Singhal is often cited by papers focused on Software Testing and Debugging Techniques (19 papers), Software Reliability and Analysis Research (19 papers) and Software Engineering Research (16 papers). Abhishek Singhal collaborates with scholars based in India, United States and United Arab Emirates. Abhishek Singhal's co-authors include Camille Kamga, Anil Yazici, Surbhi Gupta, Abhay Bansal, Vikas Garg, Alison Conway, Avadhesh Kumar, Soumendra N. Bhanja, Vineeta Vineeta and Abhijit Mukherjee and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Transportation Research Part C Emerging Technologies.

In The Last Decade

Abhishek Singhal

65 papers receiving 829 citations

Author Peers

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

Author Last Decade Papers Cites
Abhishek Singhal 286 242 158 154 96 72 877
Reijo Sulonen 81 0.3× 258 1.1× 258 1.6× 103 0.7× 97 1.0× 50 826
Ming Li 83 0.3× 131 0.5× 175 1.1× 120 0.8× 65 0.7× 72 738
Peijun Ye 160 0.6× 85 0.4× 175 1.1× 149 1.0× 72 0.8× 64 1.0k
Cathy H. Xia 156 0.5× 236 1.0× 105 0.7× 181 1.2× 447 4.7× 64 849
José-Luís Pérez-de-la-Cruz 78 0.3× 147 0.6× 336 2.1× 51 0.3× 88 0.9× 57 821
Bo Chen 182 0.6× 206 0.9× 249 1.6× 105 0.7× 274 2.9× 42 838
Linpeng Huang 134 0.5× 456 1.9× 331 2.1× 53 0.3× 409 4.3× 134 1.0k
Silvia Chiusano 57 0.2× 237 1.0× 262 1.7× 39 0.3× 112 1.2× 89 873
Fan Zhang 164 0.6× 358 1.5× 118 0.7× 243 1.6× 421 4.4× 38 1.0k
Daniel Sun 105 0.4× 349 1.4× 123 0.8× 45 0.3× 374 3.9× 56 780

Countries citing papers authored by Abhishek Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Abhishek Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhishek Singhal

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