Mary Beth Kery

1.2k citations
19 papers · 754 indexed · h-index 11
Topics
Software Engineering Research (9 papers)Scientific Computing and Data Management (9 papers)Data Visualization and Analytics (5 papers)

In The Last Decade

Mary Beth Kery

19 papers receiving 738 citations

Peers

Mary Beth Kery
Comparison fields: 5 of 93
  • Information Systems 279
  • Information Systems and Management 258
  • Computer Vision and Pattern Recognition 214
  • Artificial Intelligence 202
  • Molecular Biology 111
Replace James Eagan with:
James Eagan France
Mark D. Smucker Canada
Pedro Rangel Henriques Portugal
Sean Kandel United States
Frank Wm. Tompa Canada
Hans‐Jörg Schulz Germany
Eileen Kraemer United States
José Paulo Leal Portugal
Abdul Ghani Malaysia
Susan H. Rodger United States
Mary Beth Kery relative to James Eagan France James Eagan's profile →
Citations per field
00.5×7.9×
James Eagan · 1×
Citations per year

Countries citing papers authored by Mary Beth Kery

Since Specialization
Citations

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

Fields of papers citing papers by Mary Beth Kery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Beth Kery. 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 Mary Beth Kery. The network helps show where Mary Beth Kery may publish in the future.

Co-authorship network of co-authors of Mary Beth Kery

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 10
2 6
3 81
4 7
5 7
6 56
7 35
8 8
9 18
10 38
11 124
12 3
13
Preliminary Analysis of REST API Style Guidelines
7
14 96
15 27
16 5
17 65
18 21
19 140

About Mary Beth Kery

Mary Beth Kery is a scholar working on Information Systems and Management, Computer Science Applications and Software, having authored 19 papers that have together received 754 indexed citations. Recurring topics across this work include Software Engineering Research (9 papers), Scientific Computing and Data Management (9 papers) and Data Visualization and Analytics (5 papers). The work is most often cited by research in Information Systems and Management (258 citations), Computer Science Applications (107 citations) and Software (75 citations). Mary Beth Kery has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Brad A. Myers, Amber Horvath, Bonnie E. John, Jonathan Livny, Mónica Feldman, Brian Tjaden, Mahima Arya, Fred Hohman, Kayur Patel and Kanit Wongsuphasawat. Their work appears in journals such as Nucleic Acids Research.

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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