Aprna Tripathi

70 total papers · 493 total citations
29 papers, 212 citations indexed

About

Aprna Tripathi is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Aprna Tripathi has authored 29 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 6 papers in Computer Networks and Communications and 6 papers in Artificial Intelligence. Recurrent topics in Aprna Tripathi's work include Software Engineering Research (7 papers), Software Reliability and Analysis Research (6 papers) and Software Testing and Debugging Techniques (4 papers). Aprna Tripathi is often cited by papers focused on Software Engineering Research (7 papers), Software Reliability and Analysis Research (6 papers) and Software Testing and Debugging Techniques (4 papers). Aprna Tripathi collaborates with scholars based in India, United States and Taiwan. Aprna Tripathi's co-authors include Shilpa Srivastava, Sakshi Goel, Mehmet Akşit, Rahul Pradhan, Dilip Kumar Sharma, Dharmender Singh Kushwaha, Nidhi Arora, Nikita Bansal, Sunil Kumar and William D. Young and has published in prestigious journals such as Computer, IEEE Software and Microsystem Technologies.

In The Last Decade

Aprna Tripathi

25 papers receiving 191 citations

Hit Papers

Nature-inspired Metaheuri... 2025 2026 2025 5 10 15 20 25

Author Peers

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

Author Last Decade Papers Cites
Aprna Tripathi 86 72 60 30 27 29 212
Hessah A. Alsalamah 86 1.0× 108 1.5× 59 1.0× 30 1.0× 4 0.1× 32 270
Mahmoud Boufaïda 80 0.9× 108 1.5× 66 1.1× 4 0.1× 8 0.3× 57 189
John Kolo Alhassan 107 1.2× 152 2.1× 108 1.8× 13 0.4× 4 0.1× 24 256
Anas W. Abulfaraj 71 0.8× 33 0.5× 45 0.8× 27 0.9× 14 0.5× 26 202
Ambrose Azeta 61 0.7× 84 1.2× 67 1.1× 4 0.1× 6 0.2× 33 204
Özgür Kafalı 108 1.3× 50 0.7× 36 0.6× 11 0.4× 4 0.1× 27 217
Mohamad Gharib 87 1.0× 52 0.7× 34 0.6× 2 0.1× 3 0.1× 31 196
Ismael Bouassida Rodriguez 69 0.8× 72 1.0× 78 1.3× 20 0.7× 1 0.0× 40 232
Patrícia Dockhorn Costa 120 1.4× 131 1.8× 85 1.4× 5 0.2× 2 0.1× 26 253
Gianluca Correndo 146 1.7× 56 0.8× 49 0.8× 34 1.1× 3 0.1× 32 231

Countries citing papers authored by Aprna Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Aprna Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aprna Tripathi

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