Howard Reubenstein

779 total citations
13 papers, 468 citations indexed

About

Howard Reubenstein is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Howard Reubenstein has authored 13 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 11 papers in Artificial Intelligence and 6 papers in Software. Recurrent topics in Howard Reubenstein's work include Software Engineering Research (9 papers), Advanced Software Engineering Methodologies (9 papers) and Model-Driven Software Engineering Techniques (3 papers). Howard Reubenstein is often cited by papers focused on Software Engineering Research (9 papers), Advanced Software Engineering Methodologies (9 papers) and Model-Driven Software Engineering Techniques (3 papers). Howard Reubenstein collaborates with scholars based in United States and Sweden. Howard Reubenstein's co-authors include Richard C. Waters, David R. Harris, Alexander Yeh, Colin Potts, David Garlan, Nancy R. Mead, K. Maly, Steven Greenspan, C. Wild and Mark Feblowitz and has published in prestigious journals such as IEEE Transactions on Software Engineering, Automated Software Engineering and Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).

In The Last Decade

Howard Reubenstein

13 papers receiving 422 citations

Peers

Howard Reubenstein
Comparison fields: 5 of 37
  • Information Systems 395
  • Artificial Intelligence 362
  • Software 153
  • Computer Networks and Communications 109
  • Management Information Systems 36
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Citations per field, relative to Howard Reubenstein
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Citations per year, relative to Howard Reubenstein
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Countries citing papers authored by Howard Reubenstein

Since Specialization
Citations

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

Fields of papers citing papers by Howard Reubenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Howard Reubenstein. 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 Howard Reubenstein. The network helps show where Howard Reubenstein may publish in the future.

Co-authorship network of co-authors of Howard Reubenstein

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 11
2 12
3 41
4 19
5 30
6 12
7 21
8 11
9 20
10 58
11 182
12
Automated Acquisition of Evolving Informal Descriptions
26
13 25

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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