J. Drew Procaccino

21 total papers · 924 total citations
14 papers, 645 citations indexed

About

J. Drew Procaccino is a scholar working on Information Systems, Management Information Systems and Sociology and Political Science. According to data from OpenAlex, J. Drew Procaccino has authored 14 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 4 papers in Management Information Systems and 3 papers in Sociology and Political Science. Recurrent topics in J. Drew Procaccino's work include Software Engineering Techniques and Practices (8 papers), Software Engineering Research (5 papers) and Construction Project Management and Performance (3 papers). J. Drew Procaccino is often cited by papers focused on Software Engineering Techniques and Practices (8 papers), Software Engineering Research (5 papers) and Construction Project Management and Performance (3 papers). J. Drew Procaccino collaborates with scholars based in United States, Australia and Latvia. J. Drew Procaccino's co-authors include June Verner, Scott P. Overmyer, David Gefen, Steven J. Lorenzet, Javier Pereira, Narciso Cerpa, Mario Aldea Rivas, Lauren B. Eder and Jia Shen and has published in prestigious journals such as Communications of the ACM, Information and Software Technology and Journal of Systems and Software.

In The Last Decade

J. Drew Procaccino

14 papers receiving 573 citations

Author Peers

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

Author						Papers	Cites
J. Drew Procaccino	323	166	106	105	84	14	645
Laurie McLeod	133 0.4×	125 0.8×	51 0.5×	82 0.8×	296 3.5×	13	689
Rosann Webb Collins	308 1.0×	162 1.0×	44 0.4×	48 0.5×	185 2.2×	50	774
Monica Chiarini Tremblay	134 0.4×	168 1.0×	78 0.7×	56 0.5×	133 1.6×	37	617
Shirley Ann Becker	190 0.6×	73 0.4×	25 0.2×	88 0.8×	119 1.4×	46	726
JoAnn Hackos	208 0.6×	76 0.5×	31 0.3×	27 0.3×	108 1.3×	23	742
Richard Discenza	135 0.4×	117 0.7×	60 0.6×	17 0.2×	144 1.7×	26	573
Peta Darke	164 0.5×	263 1.6×	125 1.2×	24 0.2×	183 2.2×	15	791
Neal S. Coulter	212 0.7×	63 0.4×	37 0.3×	17 0.2×	81 1.0×	15	705
Wenhong Luo	100 0.3×	307 1.8×	135 1.3×	34 0.3×	101 1.2×	29	684
Effy Oz	181 0.6×	167 1.0×	75 0.7×	21 0.2×	120 1.4×	17	617

Countries citing papers authored by J. Drew Procaccino

Since Specialization

Citations

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

Fields of papers citing papers by J. Drew Procaccino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Drew Procaccino

This figure shows the co-authorship network connecting the top 25 collaborators of J. Drew Procaccino. A scholar is included among the top collaborators of J. Drew Procaccino 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 J. Drew Procaccino. J. Drew Procaccino 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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