Deepti Mittal

51 total papers · 1.0k total citations
33 papers, 719 citations indexed

About

Deepti Mittal is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Deepti Mittal has authored 33 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Computer Vision and Pattern Recognition and 11 papers in Artificial Intelligence. Recurrent topics in Deepti Mittal's work include Retinal Imaging and Analysis (10 papers), AI in cancer detection (10 papers) and Retinal Diseases and Treatments (8 papers). Deepti Mittal is often cited by papers focused on Retinal Imaging and Analysis (10 papers), AI in cancer detection (10 papers) and Retinal Diseases and Treatments (8 papers). Deepti Mittal collaborates with scholars based in India and Germany. Deepti Mittal's co-authors include Jaskirat Kaur, Madhup Kumar Mittal, Vinod Kumar, Niranjan Khandelwal, Naveen Kalra, Ashish Aggarwal, Ramesh Kumar Sunkaria, Ruchi Singla, Kanika Sharma and Lakhan Dev Sharma and has published in prestigious journals such as Archives of Computational Methods in Engineering, The Computer Journal and Computers & Electrical Engineering.

In The Last Decade

Deepti Mittal

32 papers receiving 699 citations

Author Peers

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

Author Last Decade Papers Cites
Deepti Mittal 500 267 238 143 65 33 719
Mehdi Hassan 220 0.4× 198 0.7× 213 0.9× 65 0.5× 18 0.3× 46 709
Shujun Wang 397 0.8× 299 1.1× 259 1.1× 131 0.9× 14 0.2× 28 677
Shahzad Akbar 466 0.9× 226 0.8× 316 1.3× 260 1.8× 11 0.2× 49 765
João Otávio Bandeira Diniz 520 1.0× 321 1.2× 265 1.1× 24 0.2× 5 0.1× 50 817
Yixiong Liang 270 0.5× 241 0.9× 486 2.0× 124 0.9× 4 0.1× 57 760
John Stoitsis 329 0.7× 135 0.5× 224 0.9× 10 0.1× 7 0.1× 37 767
Mohammed Yusuf Ansari 246 0.5× 154 0.6× 169 0.7× 6 0.0× 51 0.8× 20 676
Hiam Alquran 255 0.5× 354 1.3× 103 0.4× 31 0.2× 2 0.0× 71 807
Adrián Colomer 433 0.9× 317 1.2× 290 1.2× 222 1.6× 56 777
Ioannis Valavanis 168 0.3× 173 0.6× 152 0.6× 4 0.0× 33 0.5× 34 695

Countries citing papers authored by Deepti Mittal

Since Specialization
Citations

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

Fields of papers citing papers by Deepti Mittal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepti Mittal

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