Mehak Aggarwal

36 total papers · 483 total citations
8 papers, 176 citations indexed

About

Mehak Aggarwal is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Mehak Aggarwal has authored 8 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 3 papers in Software and 2 papers in Computer Networks and Communications. Recurrent topics in Mehak Aggarwal's work include Software Reliability and Analysis Research (3 papers), Software Engineering Research (3 papers) and COVID-19 diagnosis using AI (2 papers). Mehak Aggarwal is often cited by papers focused on Software Reliability and Analysis Research (3 papers), Software Engineering Research (3 papers) and COVID-19 diagnosis using AI (2 papers). Mehak Aggarwal collaborates with scholars based in India, United States and Brazil. Mehak Aggarwal's co-authors include Matthew Li, Jayashree Kalpathy–Cramer, Nishanth Arun, Praveer Singh, Sharut Gupta, Nathan Gaw, Julius Adebayo, Katharina Hoebel, Mishka Gidwani and Jay Patel and has published in prestigious journals such as Medicine, Radiology Artificial Intelligence and Research Journal of Pharmacy and Technology.

In The Last Decade

Mehak Aggarwal

6 papers receiving 173 citations

Author Peers

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

Author Last Decade Papers Cites
Mehak Aggarwal 90 67 44 21 19 8 176
David A. Mong 58 0.6× 90 1.3× 22 0.5× 19 0.9× 20 1.1× 11 227
Nazish Khalid 48 0.5× 95 1.4× 89 2.0× 16 0.8× 32 1.7× 12 276
Gerda Bortsova 66 0.7× 60 0.9× 18 0.4× 8 0.4× 12 0.6× 9 185
Jesse Tetreault 69 0.8× 89 1.3× 33 0.8× 8 0.4× 12 0.6× 5 146
Jesse C. Cresswell 60 0.7× 201 3.0× 41 0.9× 28 1.3× 13 0.7× 7 265
Mohammed Adnan 54 0.6× 144 2.1× 35 0.8× 18 0.9× 13 0.7× 6 189
Till Döhmen 137 1.5× 120 1.8× 53 1.2× 7 0.3× 9 0.5× 10 204
Shahid Munir Shah 82 0.9× 152 2.3× 19 0.4× 19 0.9× 11 0.6× 14 220
Niyaz Ahmad Wani 106 1.2× 121 1.8× 26 0.6× 7 0.3× 14 0.7× 15 241
Naveen Paluru 99 1.1× 64 1.0× 16 0.4× 6 0.3× 17 0.9× 8 178

Countries citing papers authored by Mehak Aggarwal

Since Specialization
Citations

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

Fields of papers citing papers by Mehak Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehak Aggarwal

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026