Benjamin D. Pedigo

23 total papers · 567 total citations
9 papers, 196 citations indexed

About

Benjamin D. Pedigo is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Benjamin D. Pedigo has authored 9 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 4 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Benjamin D. Pedigo's work include Complex Network Analysis Techniques (3 papers), Functional Brain Connectivity Studies (3 papers) and Neural dynamics and brain function (2 papers). Benjamin D. Pedigo is often cited by papers focused on Complex Network Analysis Techniques (3 papers), Functional Brain Connectivity Studies (3 papers) and Neural dynamics and brain function (2 papers). Benjamin D. Pedigo collaborates with scholars based in United States and United Kingdom. Benjamin D. Pedigo's co-authors include Joshua T Vogelstein, Carey E. Priebe, Volker Hartenstein, Heather G. Patsolic, Elizabeth Barsotti, Javier Valdés-Alemán, Richard D. Fetter, Albert Cardona, Marta Zlatic and Akira Fushiki and has published in prestigious journals such as Science, Annual Review of Neuroscience and Current Opinion in Neurobiology.

In The Last Decade

Benjamin D. Pedigo

8 papers receiving 193 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Benjamin D. Pedigo	84	70	39	29	24	9	196
Ana Correia	79 0.9×	55 0.8×	34 0.9×	25 0.9×	22 0.9×	6	174
Heather G. Patsolic	74 0.9×	49 0.7×	32 0.8×	21 0.7×	22 0.9×	3	158
Chao-Chun Chuang	181 2.2×	110 1.6×	65 1.7×	15 0.5×	64 2.7×	6	257
Sven Dorkenwald	46 0.5×	47 0.7×	19 0.5×	24 0.8×	13 0.5×	7	179
Mattias Lauwers	50 0.6×	44 0.6×	13 0.3×	55 1.9×	16 0.7×	6	245
Marcella Noorman	155 1.8×	51 0.7×	89 2.3×	21 0.7×	50 2.1×	9	231
Rich Pang	120 1.4×	74 1.1×	52 1.3×	16 0.6×	41 1.7×	9	189
Xiuye Chen	68 0.8×	75 1.1×	17 0.4×	124 4.3×	21 0.9×	6	281
Amy Sterling	117 1.4×	68 1.0×	13 0.3×	117 4.0×	10 0.4×	8	225
Szi-chieh Yu	102 1.2×	31 0.4×	47 1.2×	61 2.1×	12 0.5×	8	184

Countries citing papers authored by Benjamin D. Pedigo

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin D. Pedigo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin D. Pedigo. 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 Benjamin D. Pedigo. The network helps show where Benjamin D. Pedigo may publish in the future.

Co-authorship network of co-authors of Benjamin D. Pedigo

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin D. Pedigo. A scholar is included among the top collaborators of Benjamin D. Pedigo 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 Benjamin D. Pedigo. Benjamin D. Pedigo 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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