Aya Soffer

66 total papers · 2.8k total citations
51 papers, 1.6k citations indexed

About

Aya Soffer is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Aya Soffer has authored 51 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Information Systems, 20 papers in Artificial Intelligence and 17 papers in Signal Processing. Recurrent topics in Aya Soffer's work include Web Data Mining and Analysis (17 papers), Data Management and Algorithms (17 papers) and Image Retrieval and Classification Techniques (11 papers). Aya Soffer is often cited by papers focused on Web Data Mining and Analysis (17 papers), Data Management and Algorithms (17 papers) and Image Retrieval and Classification Techniques (11 papers). Aya Soffer collaborates with scholars based in Israel, United States and India. Aya Soffer's co-authors include David Carmel, Einat Amitay, Nadav Har’El, Michael Herscovici, Hanan Samet, Yoelle Maarek, Ronny Lempel, Jason Y. Zien, Andrei Broder and Eitan Farchi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Letters and IBM Journal of Research and Development.

In The Last Decade

Aya Soffer

50 papers receiving 1.5k citations

Hit Papers

Web-a-where 2004 2026 2011 2018 2004 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Aya Soffer 780 734 622 418 381 51 1.6k
Kjetil Nørvåg 646 0.8× 542 0.7× 680 1.1× 726 1.7× 253 0.7× 111 1.6k
Narayanan Shivakumar 741 0.9× 601 0.8× 560 0.9× 762 1.8× 211 0.6× 32 1.5k
Vanessa Murdock 846 1.1× 729 1.0× 365 0.6× 261 0.6× 431 1.1× 69 1.8k
Christos Doulkeridis 430 0.6× 553 0.8× 868 1.4× 841 2.0× 324 0.9× 95 1.7k
Lizhu Zhou 749 1.0× 864 1.2× 830 1.3× 762 1.8× 419 1.1× 105 2.0k
Hakan Ferhatosmanoğlu 424 0.5× 823 1.1× 585 0.9× 464 1.1× 425 1.1× 90 2.0k
Jagan Sankaranarayanan 529 0.7× 508 0.7× 1.0k 1.6× 541 1.3× 316 0.8× 50 1.9k
Spiros Skiadopoulos 472 0.6× 854 1.2× 462 0.7× 708 1.7× 229 0.6× 58 1.7k
Roelof van Zwol 518 0.7× 494 0.7× 261 0.4× 117 0.3× 1.0k 2.7× 44 1.7k
Dmitri V. Kalashnikov 514 0.7× 724 1.0× 1.1k 1.8× 851 2.0× 338 0.9× 57 2.0k

Countries citing papers authored by Aya Soffer

Since Specialization
Citations

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

Fields of papers citing papers by Aya Soffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aya Soffer

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