Daniel J. Fenn

20 total papers · 630 total citations
7 papers, 323 citations indexed

About

Daniel J. Fenn is a scholar working on Economics and Econometrics, Statistical and Nonlinear Physics and Finance. According to data from OpenAlex, Daniel J. Fenn has authored 7 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Economics and Econometrics, 3 papers in Statistical and Nonlinear Physics and 3 papers in Finance. Recurrent topics in Daniel J. Fenn's work include Complex Systems and Time Series Analysis (5 papers), Complex Network Analysis Techniques (3 papers) and Bioinformatics and Genomic Networks (2 papers). Daniel J. Fenn is often cited by papers focused on Complex Systems and Time Series Analysis (5 papers), Complex Network Analysis Techniques (3 papers) and Bioinformatics and Genomic Networks (2 papers). Daniel J. Fenn collaborates with scholars based in United States, United Kingdom and Slovakia. Daniel J. Fenn's co-authors include Mason A. Porter, Stacy Williams, Mark McDonald, Nick S. Jones, Martin Gould, Sam Howison, Neil F. Johnson, Peter J. Mucha, Jukka-Pekka Onnela and Mark D. Fricker and has published in prestigious journals such as Physica A Statistical Mechanics and its Applications, Quantitative Finance and Physical Review E.

In The Last Decade

Daniel J. Fenn

7 papers receiving 309 citations

Author Peers

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

Author						Papers	Cites
Daniel J. Fenn	188	133	92	78	35	7	323
F. Pozzi	211 1.1×	80 0.6×	126 1.4×	39 0.5×	11 0.3×	7	309
Aleksander Janicki	91 0.5×	139 1.0×	84 0.9×	23 0.3×	33 0.9×	13	314
Michael C. Münnix	219 1.2×	144 1.1×	61 0.7×	39 0.5×	4 0.1×	8	264
Adam Avakian	172 0.9×	132 1.0×	62 0.7×	66 0.8×	7 0.2×	6	311
Stanislao Gualdi	180 1.0×	57 0.4×	101 1.1×	26 0.3×	11 0.3×	10	323
Austin Gerig	223 1.2×	212 1.6×	31 0.3×	58 0.7×	7 0.2×	14	284
João A. Bastos	111 0.6×	168 1.3×	34 0.4×	30 0.4×	3 0.1×	14	293
Dale S. Borowiak	39 0.2×	65 0.5×	7 0.1×	32 0.4×	14 0.4×	10	362
Marji Lines	231 1.2×	57 0.4×	54 0.6×	31 0.4×	4 0.1×	11	329
Yashaswini Mittal	39 0.2×	84 0.6×	13 0.1×	69 0.9×	7 0.2×	10	312

Countries citing papers authored by Daniel J. Fenn

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Fenn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Fenn. 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 Daniel J. Fenn. The network helps show where Daniel J. Fenn may publish in the future.

Co-authorship network of co-authors of Daniel J. Fenn

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Fenn. A scholar is included among the top collaborators of Daniel J. Fenn 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 Daniel J. Fenn. Daniel J. Fenn 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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