Shima Gerani

About

Shima Gerani is a scholar working on Artificial Intelligence, Information Systems and Industrial relations. According to data from OpenAlex, Shima Gerani has authored 9 papers receiving a total of 160 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Information Systems and 0 papers in Industrial relations. Recurrent topics in Shima Gerani’s work include Topic Modeling (7 papers), Web Data Mining and Analysis (3 papers) and Natural Language Processing Techniques (3 papers). Shima Gerani is often cited by papers focused on Topic Modeling (7 papers), Web Data Mining and Analysis (3 papers) and Natural Language Processing Techniques (3 papers). Shima Gerani collaborates with scholars based in Switzerland, Canada and Italy. Shima Gerani's co-authors include Raymond T. Ng, Giuseppe Carenini, Yashar Mehdad, Fábio Crestani, Mark Carman, Jimmy Xiangji Huang, Robert Gwadera, Davide Taibi and Ilya Markov and has published in prestigious journals such as Computer Speech & Language, CiteSeer X (The Pennsylvania State University) and ACM transactions on office information systems.

In The Last Decade

Co-authorship network of co-authors of Shima Gerani i

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Fields of papers citing papers by Shima Gerani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shima Gerani

Since Specialization

Citations

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

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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