Daniel D. McCracken

57 papers receiving 948 citations

Peers

Daniel D. McCracken
Comparison fields: 5 of 161
  • Computer Science Applications 123
  • Software 54
  • Information Systems 197
  • Human-Computer Interaction 36
  • Computational Theory and Mathematics 103
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Citations per year

Countries citing papers authored by Daniel D. McCracken

Since Specialization
Citations

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

Fields of papers citing papers by Daniel D. McCracken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel D. McCracken. 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 Daniel D. McCracken. The network helps show where Daniel D. McCracken may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel D. McCracken, 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 Daniel D. McCracken Line = papers co-authored together Daniel D. McCracken links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Numerical methods and FORTRAN programming
1964218
2
Numerical methods with Fortran IV case studies
1967129
3 1982109
4 199865
5
User-Centered Web Site Development: A Human-Computer Interaction Approach
200365
6 200558
7 200353
8 195532
9 196628
10
A guide to Fortran IV programming
196526
11
NUMERICAL METHODS AND FORTRAN PROGRAMMING, WITH APPLICATIONS IN ENGINEERING AND SCIENCE.
196424
12 200423
13 195823
14 198722
15 196219
16 197918
17
A Simplified Guide to Structured COBOL Programming
197616
18 198916
19
Backus-Naur form (BNF)
200315
20 200414

About Daniel D. McCracken

Daniel D. McCracken is a scholar working on Computer Networks and Communications, Computer Science Applications, Artificial Intelligence, Electrical and Electronic Engineering and Hardware and Architecture, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (9 papers), Teaching and Learning Programming (7 papers), Algorithms and Data Compression (3 papers), Parallel Computing and Optimization Techniques (3 papers), Scientific Computing and Data Management (3 papers), Computability, Logic, AI Algorithms (2 papers), Outsourcing and Supply Chain Management (2 papers) and Experimental Learning in Engineering (2 papers). The work is most often cited by research in Computer Science Applications (123 citations), Software (54 citations), Information Systems (197 citations), Human-Computer Interaction (36 citations) and Computational Theory and Mathematics (103 citations). Daniel D. McCracken has collaborated with scholars based in United States, Greece and United Kingdom. Frequent co-authors include William S. Dorn, Michael Jackson, Apostolos Dollas, Rosalee Wolfe, Jared M. Spool, Alan J. Perlis, Clif Kussmaul, John Thomson, Elizabeth Cooper and Bevan Baas. Their work appears in journals such as Communications of the ACM, Mathematics of Computation, Journal of Marketing, Scientific American and Journal of the American Statistical Association.

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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