Michael Vallance

144 total papers · 898 total citations
71 papers, 558 citations indexed

About

Michael Vallance is a scholar working on Developmental and Educational Psychology, Education and Computer Science Applications. According to data from OpenAlex, Michael Vallance has authored 71 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Developmental and Educational Psychology, 16 papers in Education and 10 papers in Computer Science Applications. Recurrent topics in Michael Vallance's work include Online and Blended Learning (11 papers), Innovative Teaching and Learning Methods (11 papers) and Virtual Reality Applications and Impacts (10 papers). Michael Vallance is often cited by papers focused on Online and Blended Learning (11 papers), Innovative Teaching and Learning Methods (11 papers) and Virtual Reality Applications and Impacts (10 papers). Michael Vallance collaborates with scholars based in Japan, United States and United Kingdom. Michael Vallance's co-authors include Phillip A. Towndrow, Stuart L. Cooper, Paul van Schaik, Damian J. Rivers, Michiko Nakamura, J. M. McKenna, Kathryn Truby, Celia M. Smith, Jean Montemarano and Michael P. Schultz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Macromolecules.

In The Last Decade

Michael Vallance

63 papers receiving 503 citations

Author Peers

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

Author						Papers	Cites
Michael Vallance	140	121	112	75	68	71	558
Chia‐Yu Liu	121 0.9×	15 0.1×	75 0.7×	25 0.3×	16 0.2×	40	693
Aaron S. Blicblau	107 0.8×	65 0.5×	29 0.3×	21 0.3×	19 0.3×	62	603
Alex Kootsookos	148 1.1×	161 1.3×	24 0.2×	10 0.1×	58 0.9×	23	692
Adlina Abdul Samad	103 0.7×	102 0.8×	97 0.9×	20 0.3×	12 0.2×	22	603
Daniel Burkey	72 0.5×	11 0.1×	123 1.1×	3 0.0×	70 1.0×	49	567
Xinghua Wang	76 0.5×	325 2.7×	56 0.5×	7 0.1×	16 0.2×	45	697
Jie Lu	63 0.5×	31 0.3×	33 0.3×	67 0.9×	37 0.5×	39	655
Kosuke Kaneko	16 0.1×	90 0.7×	28 0.3×	2 0.0×	21 0.3×	72	639
Ingrid Richardson	62 0.4×	21 0.2×	46 0.4×	6 0.1×	23 0.3×	53	622
Mifrah Ahmad	13 0.1×	184 1.5×	36 0.3×	9 0.1×	16 0.2×	53	531

Countries citing papers authored by Michael Vallance

Since Specialization

Citations

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

Fields of papers citing papers by Michael Vallance

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Vallance

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