David Piorkowski

799 citations
23 papers · 514 · h-index 11

Impact in

Papers in

David Piorkowski

20 papers receiving 498 citations

Peers

David Piorkowski
Comparison fields: 5 of 65
  • Computer Science Applications 149
  • Information Systems and Management 120
  • Software 58
  • Human-Computer Interaction 70
  • Information Systems 284
Replace Amber Horvath with:
Amber Horvath United States
Steven Ross United States
April Yi Wang United States
Austin Z. Henley United States
Alexey Zagalsky Canada
Max Goldman United States
Paige Rodeghero United States
Pradeep K. Murukannaiah United States
Vidya Rajaram United States
Hourieh Khalajzadeh Australia
David Piorkowski relative to Amber Horvath United States Amber Horvath's profile →
Citations per field
00.5×1.5×2.1×
Amber Horvath · 1×
Citations per year

Countries citing papers authored by David Piorkowski

Since Specialization
Citations

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

Fields of papers citing papers by David Piorkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019179
2 201357
3 201342
4 201240
5 201635
6 201134
7 201531
8 201623
9 202013
10 201711
11 202210
12 20237
13 20167
14 20246
15 20235
16
How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks.
20214
17 20194
18 20173
19 20242
20 20231

About David Piorkowski

David Piorkowski is a scholar working on Information Systems, Artificial Intelligence, Information Systems and Management, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 514 indexed citations. Recurring topics across this work include Software Engineering Research (11 papers), Open Source Software Innovations (7 papers), Scientific Computing and Data Management (4 papers), Personal Information Management and User Behavior (4 papers), Data Visualization and Analytics (3 papers), Speech and dialogue systems (3 papers), AI in Service Interactions (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Computer Science Applications (149 citations), Information Systems and Management (120 citations), Software (58 citations), Human-Computer Interaction (70 citations) and Information Systems (284 citations). David Piorkowski has collaborated with scholars based in United States, Ireland and Israel. Frequent co-authors include Margaret Burnett, Scott Fleming, Rachel Bellamy, Michael Müller, Dakuo Wang, Jason Tsay, Casey Dugan, Q. Vera Liao, Thomas Erickson and Irwin Kwan. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Software Engineering, Proceedings of the ACM on Human-Computer Interaction, Smith ScholarWorks (Smith College) and eYLS (Yale Law School).

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.

Explore authors with similar magnitude of impact