John Pellman

2.2k total citations
2 papers, 111 citations indexed

About

John Pellman is a scholar working on Cognitive Neuroscience, Health, Toxicology and Mutagenesis and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, John Pellman has authored 2 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cognitive Neuroscience, 1 paper in Health, Toxicology and Mutagenesis and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in John Pellman's work include Functional Brain Connectivity Studies (2 papers), Dementia and Cognitive Impairment Research (1 paper) and Advanced MRI Techniques and Applications (1 paper). John Pellman is often cited by papers focused on Functional Brain Connectivity Studies (2 papers), Dementia and Cognitive Impairment Research (1 paper) and Advanced MRI Techniques and Applications (1 paper). John Pellman collaborates with scholars based in United States. John Pellman's co-authors include R. Cameron Craddock, Yael Osman, Natan Vega Potler, Michael P. Milham, Ting Xu, Jasmine Escalera, Lucas C. Parra, David O’Connor, Tamara Vanderwal and Lei Ai and has published in prestigious journals such as GigaScience.

In The Last Decade

John Pellman

2 papers receiving 109 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John Pellman United States	2	70	43	32	20	10	2	111
Cassandra D. Leonardo United States	5	76 1.1×	85 2.0×	14 0.4×	26 1.3×	3 0.3×	9	152
Dhivya Srinivasan United States	7	65 0.9×	42 1.0×	16 0.5×	6 0.3×	5 0.5×	11	130
Sabrina Adamo Canada	4	25 0.4×	24 0.6×	17 0.5×	23 1.1×	2 0.2×	6	68
Kuldeep Kumar Canada	6	46 0.7×	31 0.7×	11 0.3×	2 0.1×	9 0.9×	14	101
Lindsey Kitchell United States	3	68 1.0×	68 1.6×	3 0.1×	10 0.5×	5 0.5×	6	107
Ioanna Skampardoni United States	6	21 0.3×	16 0.4×	14 0.4×	9 0.5×	3 0.3×	7	126
Gemeng Zhang United States	10	175 2.5×	98 2.3×	13 0.4×	6 0.3×	27 2.7×	15	239
Pedro F. da Costa United Kingdom	6	106 1.5×	50 1.2×	11 0.3×	22 1.1×	12 1.2×	11	178
Gia H. Ngo Singapore	7	110 1.6×	37 0.9×	17 0.5×	6 0.3×	25 2.5×	13	201
Chonghua Xue United States	4	23 0.3×	44 1.0×	20 0.6×	37 1.9×	10 1.0×	5	162

Countries citing papers authored by John Pellman

Since Specialization

Citations

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

Fields of papers citing papers by John Pellman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Pellman

This figure shows the co-authorship network connecting the top 25 collaborators of John Pellman. A scholar is included among the top collaborators of John Pellman 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 John Pellman. John Pellman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

O’Connor, David, Natan Vega Potler, Ting Xu, et al.. (2017). The Healthy Brain Network Serial Scanning Initiative: a resource for evaluating inter-individual differences and their reliabilities across scan conditions and sessions. GigaScience. 6(2). 1–14. 68 indexed citations

2.

Pellman, John, et al.. (2016). The preprocessed connectomes project repository of manually corrected skull-stripped T1-weighted anatomical MRI data. GigaScience. 5(1). 45–45. 43 indexed citations

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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