David J. Birnbaum

25 papers receiving 152 citations

Peers

David J. Birnbaum
Comparison fields: 5 of 71
  • Classics 9
  • Experimental and Cognitive Psychology 26
  • Literature and Literary Theory 22
  • Education 57
  • Computational Theory and Mathematics 17
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Citations per year

Countries citing papers authored by David J. Birnbaum

Since Specialization
Citations

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

Fields of papers citing papers by David J. Birnbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Birnbaum. 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 David J. Birnbaum. The network helps show where David J. Birnbaum may publish in the future.

Co-authors

The 25 scholars most cited alongside David J. Birnbaum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David J. Birnbaum Line = papers co-authored together David J. Birnbaum links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learners' Perceptions on the Value of PowerPoint in Lectures.
200269
2 200027
3 201819
4 200511
5 20178
6 20187
7 19965
8 20114
9
Textual and accentual problems of Muz. 3070 and Zogr. 151
19884
10 20223
11 20153
12 19993
13 20092
14
Interpretation Beyond Markup
20042
15 20172
16 20012
17 19852
18
God and Evil
19892
19
Character Set Standardization for Early Cyrillic Writing after Unicode 5.1
20081
20 20171

About David J. Birnbaum

David J. Birnbaum is a scholar working on Literature and Literary Theory, Artificial Intelligence, Computational Theory and Mathematics, Language and Linguistics and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 187 indexed citations. Recurring topics across this work include Digital Humanities and Scholarship (18 papers), Natural Language Processing Techniques (10 papers), Semantic Web and Ontologies (7 papers), Mathematics, Computing, and Information Processing (7 papers), Linguistics and language evolution (5 papers), Historical and Archaeological Studies (2 papers), Cancer Genomics and Diagnostics (2 papers) and Data Visualization and Analytics (2 papers). The work is most often cited by research in Classics (9 citations), Experimental and Cognitive Psychology (26 citations), Literature and Literary Theory (22 citations), Education (57 citations) and Computational Theory and Mathematics (17 citations). David J. Birnbaum has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Barbara A. Frey, David E. Shapiro, Barry M. Farr, François Bertucci, Daniel Birnbaum, Pascal Finetti, Émilie Mamessier, Donald Ostrowski, Mike Kestemont and David Dubin. Their work appears in journals such as The Slavic and East European Journal, Speculum, Computer Standards & Interfaces, Biochimica et Biophysica Acta (BBA) - Reviews on Cancer and Infection Control and Hospital Epidemiology.

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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