Earl J. Schweppe

525 total citations
12 papers, 344 citations indexed

About

Earl J. Schweppe is a scholar working on Computer Science Applications, Media Technology and Information Systems. According to data from OpenAlex, Earl J. Schweppe has authored 12 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Science Applications, 5 papers in Media Technology and 3 papers in Information Systems. Recurrent topics in Earl J. Schweppe's work include Teaching and Learning Programming (8 papers), Experimental Learning in Engineering (5 papers) and Software Engineering Research (2 papers). Earl J. Schweppe is often cited by papers focused on Teaching and Learning Programming (8 papers), Experimental Learning in Engineering (5 papers) and Software Engineering Research (2 papers). Earl J. Schweppe collaborates with scholars based in United States and Canada. Earl J. Schweppe's co-authors include Samuel D. Conte, E.J. McCluskey, John W. Hamblen, Thomas A. Keenan, David M. Young, William F. Atchison, Werner C. Rheinboldt, Silvio O. Navarro and William G. Bulgren and has published in prestigious journals such as Communications of the ACM, Macmillan eBooks and ACM SIGCSE Bulletin.

In The Last Decade

Earl J. Schweppe

11 papers receiving 290 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Earl J. Schweppe United States	5	223	101	82	72	66	12	344
William F. Atchison United States	5	237 1.1×	99 1.0×	74 0.9×	66 0.9×	66 1.0×	11	363
Silvio O. Navarro United States	4	238 1.1×	107 1.1×	86 1.0×	82 1.1×	68 1.0×	7	372
Della Bonnette United States	3	251 1.1×	153 1.5×	57 0.7×	29 0.4×	55 0.8×	4	370
Gordon E. Stokes United States	6	385 1.7×	251 2.5×	84 1.0×	45 0.6×	82 1.2×	17	572
Steve Roach United States	9	155 0.7×	122 1.2×	67 0.8×	33 0.5×	32 0.5×	36	325
Dennis Brylow United States	11	154 0.7×	59 0.6×	47 0.6×	37 0.5×	91 1.4×	47	336
Michael T. Grinder United States	11	153 0.7×	27 0.3×	77 0.9×	44 0.6×	14 0.2×	16	282
Ann E. Kelley Sobel United States	10	75 0.3×	147 1.5×	53 0.6×	24 0.3×	31 0.5×	46	261
Richard E. Pattis United States	9	394 1.8×	93 0.9×	89 1.1×	21 0.3×	32 0.5×	18	471
David Ginat Israel	16	577 2.6×	183 1.8×	148 1.8×	53 0.7×	31 0.5×	98	689

Countries citing papers authored by Earl J. Schweppe

Since Specialization

Citations

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

Fields of papers citing papers by Earl J. Schweppe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Earl J. Schweppe

This figure shows the co-authorship network connecting the top 25 collaborators of Earl J. Schweppe. A scholar is included among the top collaborators of Earl J. Schweppe 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 Earl J. Schweppe. Earl J. Schweppe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Bulgren, William G., et al.. (1986). An improved introduction to computing emphasizing the development of algorithms and using the Apple Macintosh Pascal. ACM SIGCSE Bulletin. 18(1). 253–256. 1 indexed citations

2.

Bulgren, William G., et al.. (1986). An improved introduction to computing emphasizing the development of algorithms and using the Apple Macintosh Pascal. 253–256. 1 indexed citations

3.

Atchison, William F., Samuel D. Conte, John W. Hamblen, et al.. (1983). ACM Curricula Recommendations for Computer Science. 113–113. 3 indexed citations

4.

Atchison, William F., Samuel D. Conte, John W. Hamblen, et al.. (1981). ACM Recommended Curricula for Computer Science and Information Processing Programs in Colleges and Universities, 1968-1981. 4 indexed citations

5.

Schweppe, Earl J.. (1973). Dynamic instructional models of computer organizations and programming languages. ACM SIGCSE Bulletin. 5(1). 26–31. 5 indexed citations

6.

Schweppe, Earl J.. (1973). Dynamic instructional models of computer organizations and programming languages. 26–31. 8 indexed citations

7.

Schweppe, Earl J., et al.. (1973). Interactive instruction simulation on and of the Datapoint 2200 computer. 304–308.

8.

Schweppe, Earl J., et al.. (1973). A Fortran language anticipation and prompting system. 183–187. 1 indexed citations

9.

Atchison, William F., Samuel D. Conte, John W. Hamblen, et al.. (1968). Curriculum 68: Recommendations for academic programs in computer science. Communications of the ACM. 11(3). 151–197. 308 indexed citations

10.

Schweppe, Earl J., et al.. (1966). An introduction to algorithmic methods using the MAD language. Macmillan eBooks. 4 indexed citations

11.

Schweppe, Earl J.. (1964). A proposed academic program in the computer sciences. 121.101–121.102. 1 indexed citations

12.

Schweppe, Earl J., et al.. (1964). Consequent procedures in conventional computers. University of North Texas Digital Library (University of North Texas). 465–465. 8 indexed citations

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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