Elima Hussain

14 total papers · 544 total citations
7 papers, 355 citations indexed

About

Elima Hussain is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Elima Hussain has authored 7 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Elima Hussain's work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cervical Cancer and HPV Research (2 papers). Elima Hussain is often cited by papers focused on AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cervical Cancer and HPV Research (2 papers). Elima Hussain collaborates with scholars based in India. Elima Hussain's co-authors include Lipi B. Mahanta, Chandana Das, Manish Chowdhury and Saswati Sanyal Choudhury and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Neural Networks.

In The Last Decade

Elima Hussain

7 papers receiving 348 citations

Author Peers

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

Author Last Decade Papers Cites
Elima Hussain 308 165 111 93 48 7 355
Khushboo Munir 189 0.6× 169 1.0× 17 0.2× 73 0.8× 76 1.6× 6 391
Liang-Bo Wang 230 0.7× 175 1.1× 15 0.1× 115 1.2× 27 0.6× 9 365
Asok Kumar Maiti 164 0.5× 106 0.6× 10 0.1× 206 2.2× 12 0.3× 10 347
Ryoungwoo Jang 119 0.4× 212 1.3× 19 0.2× 49 0.5× 21 0.4× 8 388
Amy Zhao 121 0.4× 99 0.6× 25 0.2× 171 1.8× 30 0.6× 14 380
Kokeb Dese 203 0.7× 160 1.0× 28 0.3× 93 1.0× 34 0.7× 16 361
Grzegorz Chlebus 118 0.4× 211 1.3× 26 0.2× 108 1.2× 48 1.0× 9 314
Shiliang Ai 286 0.9× 200 1.2× 17 0.2× 160 1.7× 53 1.1× 8 396
Xiaofei Luo 241 0.8× 165 1.0× 15 0.1× 136 1.5× 22 0.5× 6 369
Hongchun Lu 119 0.4× 96 0.6× 19 0.2× 163 1.8× 50 1.0× 13 298

Countries citing papers authored by Elima Hussain

Since Specialization
Citations

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

Fields of papers citing papers by Elima Hussain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elima Hussain

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