James Koppel
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Information Systems top 5%
- Software Engineering Research
- Blockchain Technology Applications and Security
Papers in
-
- Logic, programming, and type systems 4
- Logic, Reasoning, and Knowledge 1
-
- Software Engineering Research 4
- Spam and Phishing Detection 1
- Co-authors
- Armando Solar-Lezama (7 shared papers)Angela T. Chen (1 shared paper)Michael A. Specter (1 shared paper)Daniel J. Weitzner (1 shared paper)Nadia Polikarpova (1 shared paper)Tomás Lozano‐Pérez (1 shared paper)Leslie Pack Kaelbling (1 shared paper)Ferran Alet (1 shared paper)
- Journals
- Proceedings of the ACM on Programming Languages (2 papers)Chalmers Research (Chalmers University of Technology) (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)
- Partner nations
- United StatesSwedenFrance
In The Last Decade
James Koppel
8 papers receiving 202 citations
Peers
Comparison fields: 5 of 28
- Software 142
- Information Systems 142
- Signal Processing 22
- Hardware and Architecture 12
- Artificial Intelligence 57
Countries citing papers authored by James Koppel
This map shows the geographic impact of James Koppel'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 James Koppel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Koppel more than expected).
Fields of papers citing papers by James Koppel
This network shows the impact of papers produced by James Koppel. 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 James Koppel. The network helps show where James Koppel may publish in the future.
Co-authors
The 11 scholars most cited alongside James Koppel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 145 | |
| 2 | The Ballot is Busted Before the Blockchain: A Security Analysis of Voatz, the First Internet Voting Application Used in U.S. Federal Elections. | 2020 | 27 |
| 3 | 2020 | 24 | |
| 4 | 2022 | 8 | |
| 5 | 2017 | 2 | |
| 6 | A large-scale benchmark for few-shot program induction and synthesis | 2021 | 1 |
| 7 | A Language for Counterfactual Generative Models | 2021 | 1 |
| 8 | 2018 | 1 | |
| 9 | 2023 | 1 |
About James Koppel
James Koppel is a scholar working on Artificial Intelligence, Information Systems, Software, Computer Networks and Communications and Hardware and Architecture, having authored 9 papers that have together received 210 indexed citations. Recurring topics across this work include Logic, programming, and type systems (4 papers), Software Testing and Debugging Techniques (4 papers), Software Engineering Research (4 papers), Parallel Computing and Optimization Techniques (3 papers), Software Reliability and Analysis Research (2 papers), Spam and Phishing Detection (1 paper), Distributed systems and fault tolerance (1 paper) and Logic, Reasoning, and Knowledge (1 paper). The work is most often cited by research in Software (142 citations), Information Systems (142 citations), Signal Processing (22 citations), Hardware and Architecture (12 citations) and Artificial Intelligence (57 citations). James Koppel has collaborated with scholars based in United States, Sweden and France. Frequent co-authors include Armando Solar-Lezama, Angela T. Chen, Michael A. Specter, Daniel J. Weitzner, Nadia Polikarpova, Tomás Lozano‐Pérez, Leslie Pack Kaelbling, Ferran Alet, Maxwell Nye and Josh Tenenbaum. Their work appears in journals such as Proceedings of the ACM on Programming Languages, Chalmers Research (Chalmers University of Technology) and DSpace@MIT (Massachusetts Institute of Technology).
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.