Matthew Clifford

44 total papers · 451 total citations
26 papers, 262 citations indexed

About

Matthew Clifford is a scholar working on Education, Information Systems and Management and General Agricultural and Biological Sciences. According to data from OpenAlex, Matthew Clifford has authored 26 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Education, 5 papers in Information Systems and Management and 4 papers in General Agricultural and Biological Sciences. Recurrent topics in Matthew Clifford's work include Teacher Education and Leadership Studies (9 papers), Education Systems and Policy (6 papers) and Educational Assessment and Improvement (5 papers). Matthew Clifford is often cited by papers focused on Teacher Education and Leadership Studies (9 papers), Education Systems and Policy (6 papers) and Educational Assessment and Improvement (5 papers). Matthew Clifford collaborates with scholars based in United States, Australia and United Kingdom. Matthew Clifford's co-authors include Christopher Condon, Richard Halverson, Susan B. Millar, Mark Connolly, Jana Bouwma‐Gearhart, Kacper Sokol, Raúl Santos‐Rodríguez, Peter Flach, Abraham Jacob and Anthony Milanowski and has published in prestigious journals such as Systematic and Applied Microbiology, Burns and Educational Administration Quarterly.

In The Last Decade

Matthew Clifford

25 papers receiving 211 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew Clifford 201 69 27 22 22 26 262
Martha N. Ovando 259 1.3× 61 0.9× 18 0.7× 12 0.5× 26 1.2× 35 295
Carolyn A. Haug 178 0.9× 51 0.7× 30 1.1× 18 0.8× 29 1.3× 30 254
Kilchan Choi 203 1.0× 61 0.9× 42 1.6× 15 0.7× 32 1.5× 38 302
Tarek Shal 159 0.8× 25 0.4× 7 0.3× 7 0.3× 34 1.5× 36 260
Theodore B. Creighton 158 0.8× 48 0.7× 12 0.4× 9 0.4× 10 0.5× 18 226
Ed Bengtson 211 1.0× 60 0.9× 24 0.9× 11 0.5× 43 2.0× 22 294
Paula A. Cordeiro 220 1.1× 14 0.2× 12 0.4× 15 0.7× 24 1.1× 32 295
Victoria Robison 202 1.0× 56 0.8× 8 0.3× 7 0.3× 60 2.7× 24 284
Vito Perrone 187 0.9× 23 0.3× 10 0.4× 12 0.5× 65 3.0× 33 313
Mowafaq Qadach 178 0.9× 23 0.3× 10 0.4× 9 0.4× 40 1.8× 18 319

Countries citing papers authored by Matthew Clifford

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Clifford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Clifford

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