E. Michelle Todd

34 total papers · 631 total citations
17 papers, 371 citations indexed

About

E. Michelle Todd is a scholar working on General Health Professions, Information Systems and Management and Experimental and Cognitive Psychology. According to data from OpenAlex, E. Michelle Todd has authored 17 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Health Professions, 7 papers in Information Systems and Management and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in E. Michelle Todd's work include Ethics in Business and Education (7 papers), Ethics in medical practice (5 papers) and Legal Education and Practice Innovations (4 papers). E. Michelle Todd is often cited by papers focused on Ethics in Business and Education (7 papers), Ethics in medical practice (5 papers) and Legal Education and Practice Innovations (4 papers). E. Michelle Todd collaborates with scholars based in United States and Mexico. E. Michelle Todd's co-authors include Michael D. Mumford, Teri Aronowitz, Shane Connelly, Tyler J. Mulhearn, Tristan McIntosh, Logan L. Watts, Kelsey E. Medeiros, Francis J. Yammarino, Hiroki Sayama and Robert Martin and has published in prestigious journals such as Journal of Affective Disorders, The Leadership Quarterly and Creativity Research Journal.

In The Last Decade

E. Michelle Todd

16 papers receiving 362 citations

Author Peers

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

Author Last Decade Papers Cites
E. Michelle Todd 115 64 62 59 54 17 371
Matthew T. Luth 65 0.6× 33 0.5× 104 1.7× 37 0.6× 122 2.3× 11 364
Carter Gibson 30 0.3× 40 0.6× 61 1.0× 35 0.6× 85 1.6× 26 351
Melissa M. Robertson 67 0.6× 71 1.1× 219 3.5× 76 1.3× 101 1.9× 16 436
Gera Noordzij 102 0.9× 120 1.9× 119 1.9× 27 0.5× 94 1.7× 25 431
Anna Imus 80 0.7× 80 1.3× 109 1.8× 32 0.5× 140 2.6× 7 413
Chunyan Song 29 0.3× 96 1.5× 56 0.9× 37 0.6× 38 0.7× 16 412
Jennifer Lawlor 90 0.8× 71 1.1× 26 0.4× 16 0.3× 55 1.0× 28 429
Jill Pearson 52 0.5× 182 2.8× 56 0.9× 27 0.5× 110 2.0× 11 426
Saul Benison 32 0.3× 47 0.7× 31 0.5× 26 0.4× 20 0.4× 19 399
Jesús Tanguma 29 0.3× 119 1.9× 63 1.0× 29 0.5× 39 0.7× 25 340

Countries citing papers authored by E. Michelle Todd

Since Specialization
Citations

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

Fields of papers citing papers by E. Michelle Todd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Michelle Todd. 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 E. Michelle Todd. The network helps show where E. Michelle Todd may publish in the future.

Co-authorship network of co-authors of E. Michelle Todd

This figure shows the co-authorship network connecting the top 25 collaborators of E. Michelle Todd. A scholar is included among the top collaborators of E. Michelle Todd 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 E. Michelle Todd. E. Michelle Todd 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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