Lisa Matthias

78 total papers · 2.5k total citations
14 papers, 368 citations indexed

About

Lisa Matthias is a scholar working on Statistics, Probability and Uncertainty, Information Systems and Information Systems and Management. According to data from OpenAlex, Lisa Matthias has authored 14 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics, Probability and Uncertainty, 7 papers in Information Systems and 5 papers in Information Systems and Management. Recurrent topics in Lisa Matthias's work include scientometrics and bibliometrics research (8 papers), Research Data Management Practices (5 papers) and Academic Publishing and Open Access (5 papers). Lisa Matthias is often cited by papers focused on scientometrics and bibliometrics research (8 papers), Research Data Management Practices (5 papers) and Academic Publishing and Open Access (5 papers). Lisa Matthias collaborates with scholars based in Germany, Canada and Finland. Lisa Matthias's co-authors include Juan Pablo Alperín, Meredith T. Niles, Erin C. McKiernan, Lesley A. Schimanski, Carol Muñoz Nieves, Najko Jahn, Mikael Laakso, Stefanie Haustein, Marc‐André Simard and Philippe Mongeon and has published in prestigious journals such as eLife, Journal of the Association for Information Science and Technology and Frontiers in Communication.

In The Last Decade

Lisa Matthias

13 papers receiving 344 citations

Author Peers

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

Author						Papers	Cites
Lisa Matthias	203	123	85	41	29	14	368
Adrian Mulligan	197 1.0×	96 0.8×	69 0.8×	57 1.4×	26 0.9×	14	446
Vincent Larivière	221 1.1×	70 0.6×	81 1.0×	19 0.5×	14 0.5×	9	383
Nadine Desrochers	264 1.3×	100 0.8×	59 0.7×	50 1.2×	14 0.5×	19	443
Bikun Chen	192 0.9×	80 0.7×	54 0.6×	32 0.8×	17 0.6×	7	356
Simon Kerridge	229 1.1×	66 0.5×	81 1.0×	39 1.0×	36 1.2×	18	439
Ben F. Johnson	223 1.1×	59 0.5×	75 0.9×	35 0.9×	33 1.1×	11	433
Alexander A. Voronov	149 0.7×	97 0.8×	51 0.6×	78 1.9×	43 1.5×	24	343
Richard D Jones	236 1.2×	68 0.6×	102 1.2×	35 0.9×	32 1.1×	6	446
James Pringle	223 1.1×	95 0.8×	94 1.1×	13 0.3×	10 0.3×	14	386
Christian Herzog	131 0.6×	79 0.6×	80 0.9×	20 0.5×	16 0.6×	20	426

Countries citing papers authored by Lisa Matthias

Since Specialization

Citations

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

Fields of papers citing papers by Lisa Matthias

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Matthias

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