Jim Waldo
Impact in
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- Online Learning and Analytics
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- Distributed systems and fault tolerance
- Distributed and Parallel Computing Systems
- Mobile Agent-Based Network Management
- Peer-to-Peer Network Technologies
Papers in
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- Parallel Computing and Optimization Techniques 8
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- Distributed and Parallel Computing Systems 12
- Distributed systems and fault tolerance 10
- Co-authors
- Ken ArnoldAnn WollrathRoger RiggsAndrew HoDaniel SeatonIsaac L. ChuangJustin ReichTommy Mullaney
- Journals
- Communications of the ACM (11 papers)Queue (8 papers)Computer (1 paper)Information Systems Frontiers (1 paper)IEEE Intelligent Systems (1 paper)
- Partner nations
- United StatesUnited KingdomGreece
In The Last Decade
Jim Waldo
54 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 100
- Computer Science Applications 307
- Computer Networks and Communications 934
- Hardware and Architecture 233
- Information Systems 541
- Health Informatics 28
Countries citing papers authored by Jim Waldo
This map shows the geographic impact of Jim Waldo'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 Jim Waldo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Waldo more than expected).
Fields of papers citing papers by Jim Waldo
This network shows the impact of papers produced by Jim Waldo. 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 Jim Waldo. The network helps show where Jim Waldo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jim Waldo, 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 | 2024 | 9 | |
| 2 | 2023 | 1 | |
| 3 | 2019 | 19 | |
| 4 | 2015 | 13 | |
| 5 | 2014 | 1 | |
| 6 | 2014 | 1 | |
| 7 | 2014 | 1 | |
| 8 | Scalable data storage in project Darkstar | 2009 | 4 |
| 9 | 2006 | 5 | |
| 10 | 2002 | 2 | |
| 11 | 2001 | 2 | |
| 12 | The Jini Specifications | 2000 | 287 |
| 13 | Jini Specification | 1999 | 38 |
| 14 | 1998 | 68 | |
| 15 | Pickling State in the Java System. | 1996 | 37 |
| 16 | A Distributed Object Model for the Java System. | 1996 | 182 |
| 17 | A distributed object model for the java TM system | 1996 | 31 |
| 18 | 1995 | 4 | |
| 19 | The case for multiple inheritance in C | 1993 | 3 |
| 20 | Controversy: The Case for Multiple Inheritance in C++. | 1991 | 10 |
About Jim Waldo
Jim Waldo is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computer Science Applications, Safety Research and Information Systems, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (12 papers), Distributed systems and fault tolerance (10 papers), Parallel Computing and Optimization Techniques (8 papers), Privacy-Preserving Technologies in Data (7 papers), Ethics and Social Impacts of AI (6 papers), Logic, programming, and type systems (5 papers), Privacy, Security, and Data Protection (5 papers) and Service-Oriented Architecture and Web Services (5 papers). The work is most often cited by research in Computer Science Applications (307 citations), Computer Networks and Communications (934 citations), Hardware and Architecture (233 citations), Information Systems (541 citations) and Health Informatics (28 citations). Jim Waldo has collaborated with scholars based in United States, United Kingdom and Greece. Frequent co-authors include Ken Arnold, Ann Wollrath, Roger Riggs, Andrew Ho, Daniel Seaton, Isaac L. Chuang, Justin Reich, Tommy Mullaney, Sergiy Nesterko and A. John Simmons. Their work appears in journals such as Communications of the ACM, Queue, Computer, Information Systems Frontiers and IEEE Intelligent Systems.
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.