Thomas M. Dana

36 total papers · 646 total citations
29 papers, 401 citations indexed

About

Thomas M. Dana is a scholar working on Education, General Agricultural and Biological Sciences and Developmental and Educational Psychology. According to data from OpenAlex, Thomas M. Dana has authored 29 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Education, 9 papers in General Agricultural and Biological Sciences and 6 papers in Developmental and Educational Psychology. Recurrent topics in Thomas M. Dana's work include Science Education and Pedagogy (13 papers), Diverse Educational Innovations Studies (9 papers) and Innovative Teaching and Learning Methods (3 papers). Thomas M. Dana is often cited by papers focused on Science Education and Pedagogy (13 papers), Diverse Educational Innovations Studies (9 papers) and Innovative Teaching and Learning Methods (3 papers). Thomas M. Dana collaborates with scholars based in United States and Türkiye. Thomas M. Dana's co-authors include Patricia Friedrichsen, Vincent N. Lunetta, Deborah J. Tippins, J. Ashley Taylor, Ravinder Koul, Carla Zembal‐Saul, Danusa Munford, Mehmet Fatih Taşar, Thomasenia Lott Adams and Angelo Collins and has published in prestigious journals such as Journal of Research in Science Teaching, Science Education and The Elementary School Journal.

In The Last Decade

Thomas M. Dana

26 papers receiving 337 citations

Author Peers

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

Author						Papers	Cites
Thomas M. Dana	350	134	94	42	35	29	401
Patricia D. Morrell	307 0.9×	95 0.7×	76 0.8×	35 0.8×	21 0.6×	31	420
Jim Beggs	357 1.0×	146 1.1×	88 0.9×	71 1.7×	41 1.2×	19	439
Brenda Brand	359 1.0×	78 0.6×	92 1.0×	32 0.8×	64 1.8×	16	437
Deepika Menon	262 0.7×	93 0.7×	84 0.9×	36 0.9×	32 0.9×	22	332
Michael E. Beeth	364 1.0×	221 1.6×	35 0.4×	52 1.2×	24 0.7×	31	402
Mariona Espinet Blanch	323 0.9×	137 1.0×	64 0.7×	37 0.9×	49 1.4×	46	438
Joseph P. Riley	365 1.0×	157 1.2×	63 0.7×	73 1.7×	38 1.1×	14	446
Arthur Eisenkraft	334 1.0×	92 0.7×	49 0.5×	31 0.7×	19 0.5×	37	418
John Cripps Clark	230 0.7×	79 0.6×	43 0.5×	51 1.2×	59 1.7×	29	384
Chatree Faikhamta	371 1.1×	111 0.8×	29 0.3×	35 0.8×	24 0.7×	41	436

Countries citing papers authored by Thomas M. Dana

Since Specialization

Citations

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

Fields of papers citing papers by Thomas M. Dana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas M. Dana. 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 Thomas M. Dana. The network helps show where Thomas M. Dana may publish in the future.

Co-authorship network of co-authors of Thomas M. Dana

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas M. Dana. A scholar is included among the top collaborators of Thomas M. Dana 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 Thomas M. Dana. Thomas M. Dana 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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