Paul M. Leidig

64 total papers · 423 total citations
37 papers, 294 citations indexed

About

Paul M. Leidig is a scholar working on Information Systems, Computer Science Applications and Education. According to data from OpenAlex, Paul M. Leidig has authored 37 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Information Systems, 14 papers in Computer Science Applications and 8 papers in Education. Recurrent topics in Paul M. Leidig's work include Information Systems Education and Curriculum Development (16 papers), Teaching and Learning Programming (8 papers) and Service-Learning and Community Engagement (6 papers). Paul M. Leidig is often cited by papers focused on Information Systems Education and Curriculum Development (16 papers), Teaching and Learning Programming (8 papers) and Service-Learning and Community Engagement (6 papers). Paul M. Leidig collaborates with scholars based in United States, New Zealand and Singapore. Paul M. Leidig's co-authors include Michael Goldweber, Tony Clear, Roger Ferguson, Lillian Cassel, Andrea Danyluk, Christian Servín, Hannu Salmela, John H. Reynolds, Herbert E. Longenecker and Thomas Janicki and has published in prestigious journals such as Journal of the Association for Information Systems, AUT Scholarly Commons and ACM SIGCSE Bulletin.

In The Last Decade

Paul M. Leidig

34 papers receiving 270 citations

Author Peers

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

Author Last Decade Papers Cites
Paul M. Leidig 121 117 81 44 41 37 294
Ian D. Stoodley 83 0.7× 37 0.3× 165 2.0× 56 1.3× 41 1.0× 36 338
Ben Rydal Shapiro 87 0.7× 44 0.4× 86 1.1× 48 1.1× 19 0.5× 31 322
Guillermo Rodríguez-Abitia 80 0.7× 113 1.0× 73 0.9× 10 0.2× 35 0.9× 26 337
Chantal Buteau 107 0.9× 30 0.3× 144 1.8× 103 2.3× 34 0.8× 41 359
Carina de Villiers 26 0.2× 80 0.7× 94 1.2× 34 0.8× 25 0.6× 43 231
John Barr 184 1.5× 126 1.1× 53 0.7× 76 1.7× 27 0.7× 38 300
Machdel Matthee 52 0.4× 93 0.8× 68 0.8× 18 0.4× 28 0.7× 47 314
M. Brooke Robertshaw 87 0.7× 70 0.6× 187 2.3× 95 2.2× 27 0.7× 25 350
Sayamindu Dasgupta 147 1.2× 63 0.5× 49 0.6× 54 1.2× 8 0.2× 24 295
Jozef Hvorecký 141 1.2× 54 0.5× 42 0.5× 87 2.0× 27 0.7× 42 314

Countries citing papers authored by Paul M. Leidig

Since Specialization
Citations

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

Fields of papers citing papers by Paul M. Leidig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul M. Leidig

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