Mathew Mitchell

43 total papers · 1.0k total citations
15 papers, 645 citations indexed

About

Mathew Mitchell is a scholar working on Education, Experimental and Cognitive Psychology and Neurology. According to data from OpenAlex, Mathew Mitchell has authored 15 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Education, 4 papers in Experimental and Cognitive Psychology and 2 papers in Neurology. Recurrent topics in Mathew Mitchell's work include Online and Blended Learning (2 papers), Statistics Education and Methodologies (2 papers) and Autoimmune Neurological Disorders and Treatments (2 papers). Mathew Mitchell is often cited by papers focused on Online and Blended Learning (2 papers), Statistics Education and Methodologies (2 papers) and Autoimmune Neurological Disorders and Treatments (2 papers). Mathew Mitchell collaborates with scholars based in United States. Mathew Mitchell's co-authors include Pamela Andreatta, Jay B. Lichter, Satoshi Kubo, Susan Prion, Carrolee Barlow, Scott J. Snipas, Atsuo Kanno, Masashi Maeda and Mitsuyuki Matsumoto and has published in prestigious journals such as Neurology, Journal of Educational Psychology and Journal of Computers in Mathematics and Science Teaching.

In The Last Decade

Mathew Mitchell

10 papers receiving 535 citations

Hit Papers

Situational interest: Its... 1993 2026 2004 2015 1993 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Mathew Mitchell 352 263 261 193 73 15 645
William Baird 310 0.9× 345 1.3× 328 1.3× 153 0.8× 48 0.7× 20 782
Kristin L. K. Koskey 378 1.1× 229 0.9× 162 0.6× 208 1.1× 68 0.9× 30 650
Lore Hoffmann 366 1.0× 206 0.8× 245 0.9× 151 0.8× 144 2.0× 16 610
Heinz Neber 348 1.0× 273 1.0× 308 1.2× 172 0.9× 73 1.0× 31 689
Meghan Bathgate 465 1.3× 187 0.7× 130 0.5× 136 0.7× 99 1.4× 19 695
Tom Haladyna 493 1.4× 129 0.5× 141 0.5× 112 0.6× 39 0.5× 16 604
Ann M. L. Cavallo 518 1.5× 238 0.9× 113 0.4× 167 0.9× 94 1.3× 23 721
Helena Dedic 260 0.7× 153 0.6× 246 0.9× 341 1.8× 100 1.4× 14 646
Thérèse Bouffard‐Bouchard 329 0.9× 255 1.0× 257 1.0× 250 1.3× 80 1.1× 18 764
Mark Girod 412 1.2× 236 0.9× 114 0.4× 87 0.5× 58 0.8× 25 616

Countries citing papers authored by Mathew Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Mathew Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathew Mitchell

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