Lisa Friedland

29 total papers · 4.2k total citations
17 papers, 2.8k citations indexed

About

Lisa Friedland is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Lisa Friedland has authored 17 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Lisa Friedland's work include Data Quality and Management (4 papers), Complex Network Analysis Techniques (3 papers) and Data Mining Algorithms and Applications (3 papers). Lisa Friedland is often cited by papers focused on Data Quality and Management (4 papers), Complex Network Analysis Techniques (3 papers) and Data Mining Algorithms and Applications (3 papers). Lisa Friedland collaborates with scholars based in United States, Slovenia and Mexico. Lisa Friedland's co-authors include Kenneth Joseph, David Lazer, Nir Grinberg, Briony Swire‐Thompson, Kristin Ardlie, James Nemesh, Janet A. Warrington, Alex Rolfe, Nila Patil and Michele Cargill and has published in prestigious journals such as Science, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Lisa Friedland

16 papers receiving 2.6k citations

Hit Papers

Characterization of singl... 1999 2026 2008 2017 1999 2019 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Lisa Friedland 1.1k 764 594 544 502 17 2.8k
Jean-Baptiste Michel 548 0.5× 531 0.7× 155 0.3× 715 1.3× 288 0.6× 44 3.7k
Gábor Szabó 601 0.5× 646 0.8× 293 0.5× 404 0.7× 134 0.3× 35 3.2k
Edoardo M. Airoldi 562 0.5× 2.1k 2.8× 186 0.3× 1.2k 2.2× 220 0.4× 102 5.1k
Derek Ruths 706 0.6× 650 0.9× 384 0.6× 579 1.1× 297 0.6× 68 2.6k
Aviva Presser Aiden 383 0.3× 1.4k 1.8× 87 0.1× 514 0.9× 520 1.0× 6 3.5k
Kenneth Johnson 443 0.4× 617 0.8× 711 1.2× 195 0.4× 193 0.4× 84 2.5k
William Housley 890 0.8× 366 0.5× 471 0.8× 308 0.6× 58 0.1× 95 3.0k
Jonathan Chang 267 0.2× 340 0.4× 125 0.2× 1.3k 2.4× 177 0.4× 30 3.3k
Seth Cooper 429 0.4× 582 0.8× 132 0.2× 594 1.1× 109 0.2× 92 3.3k
Michael D. Lieberman 186 0.2× 337 0.4× 113 0.2× 493 0.9× 205 0.4× 57 3.6k

Countries citing papers authored by Lisa Friedland

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Friedland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Friedland

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