Raha Moraffah

49 total papers · 599 total citations
15 papers, 310 citations indexed

About

Raha Moraffah is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Raha Moraffah has authored 15 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Signal Processing and 2 papers in Information Systems. Recurrent topics in Raha Moraffah's work include Adversarial Robustness in Machine Learning (4 papers), Topic Modeling (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Raha Moraffah is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Topic Modeling (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Raha Moraffah collaborates with scholars based in United States, Hong Kong and China. Raha Moraffah's co-authors include Huan Liu, Ruocheng Guo, Mansooreh Karami, Adrienne Raglin, Qianru Wang, Lu Cheng, K. Selçuk Candan, Vineeth Rakesh, Nitin Agarwal and Amrita Bhattacharjee and has published in prestigious journals such as Knowledge and Information Systems, IEEE Transactions on Artificial Intelligence and ACM SIGKDD Explorations Newsletter.

In The Last Decade

Raha Moraffah

13 papers receiving 303 citations

Author Peers

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

Author Last Decade Papers Cites
Raha Moraffah 191 39 39 30 24 15 310
Adrienne Raglin 147 0.8× 27 0.7× 23 0.6× 25 0.8× 26 1.1× 19 254
Zhixuan Chu 191 1.0× 75 1.9× 56 1.4× 10 0.3× 23 1.0× 18 365
Jana Nowaková 140 0.7× 33 0.8× 8 0.2× 14 0.5× 20 0.8× 26 317
Elham S. Khorasani 135 0.7× 64 1.6× 17 0.4× 18 0.6× 29 1.2× 21 362
Urszula Chajewska 211 1.1× 32 0.8× 11 0.3× 41 1.4× 58 2.4× 13 332
Braden Soper 161 0.8× 21 0.5× 23 0.6× 11 0.4× 14 0.6× 16 279
Weiping Ding 88 0.5× 56 1.4× 8 0.2× 14 0.5× 22 0.9× 26 219
Hao Wang 209 1.1× 30 0.8× 11 0.3× 22 0.7× 20 0.8× 14 335
Zhenchen Wang 139 0.7× 14 0.4× 13 0.3× 12 0.4× 20 0.8× 16 295
Augusto Júnio Guimarães 209 1.1× 19 0.5× 11 0.3× 25 0.8× 51 2.1× 23 308

Countries citing papers authored by Raha Moraffah

Since Specialization
Citations

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

Fields of papers citing papers by Raha Moraffah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raha Moraffah

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