Laurie Gerber

24 total papers · 760 total citations
13 papers, 454 citations indexed

About

Laurie Gerber is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Laurie Gerber has authored 13 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Molecular Biology. Recurrent topics in Laurie Gerber's work include Natural Language Processing Techniques (9 papers), Topic Modeling (4 papers) and Speech and dialogue systems (4 papers). Laurie Gerber is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (4 papers) and Speech and dialogue systems (4 papers). Laurie Gerber collaborates with scholars based in United States and Canada. Laurie Gerber's co-authors include Eduard Hovy, Ulf Hermjakob, Chin-Yew Lin, Michael Junk, Deepak Ravichandran, Beth Sundheim, Lisa Ferro, Inderjeet Mani, George D. Wilson and David Farwell and has published in prestigious journals such as Lecture notes in computer science, MedEdPORTAL and Text REtrieval Conference.

In The Last Decade

Laurie Gerber

11 papers receiving 359 citations

Author Peers

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

Author Last Decade Papers Cites
Laurie Gerber 432 103 26 23 21 13 454
Borja Navarro-Colorado 425 1.0× 66 0.6× 24 0.9× 29 1.3× 14 0.7× 33 527
Tom Kenter 391 0.9× 129 1.3× 27 1.0× 42 1.8× 30 1.4× 19 490
David Day 438 1.0× 94 0.9× 48 1.8× 22 1.0× 21 1.0× 27 515
Will Radford 441 1.0× 99 1.0× 36 1.4× 12 0.5× 25 1.2× 17 484
Vítor Mangaravite 374 0.9× 129 1.3× 31 1.2× 25 1.1× 38 1.8× 10 447
Vanessa Wei Feng 426 1.0× 127 1.2× 18 0.7× 16 0.7× 24 1.1× 11 465
Hongkui Yu 354 0.8× 104 1.0× 35 1.3× 7 0.3× 44 2.1× 9 428
Kenneth C. Litkowski 466 1.1× 43 0.4× 34 1.3× 11 0.5× 19 0.9× 27 500
John Sterling 454 1.1× 84 0.8× 44 1.7× 17 0.7× 21 1.0× 21 504
Kavita Ganesan 494 1.1× 141 1.4× 18 0.7× 17 0.7× 18 0.9× 18 546

Countries citing papers authored by Laurie Gerber

Since Specialization
Citations

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

Fields of papers citing papers by Laurie Gerber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurie Gerber

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