Joshua I. James
- Information Systems top 5%
- Signal Processing top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Pavel GladyshevMichael LosavioK. P. ChowHyoung Rae KimSangjin LeeMatthew C. FarrellyKyungho LeeDohyun Kim
- Topics
- Digital and Cyber Forensics (14 papers)Advanced Malware Detection Techniques (13 papers)Network Security and Intrusion Detection (5 papers)
- Partner nations
- South KoreaIrelandUnited States
In The Last Decade
Joshua I. James
24 papers receiving 301 citations
Peers
Comparison fields: 5 of 53
- Information Systems 230
- Signal Processing 145
- Artificial Intelligence 82
- Computer Vision and Pattern Recognition 77
- Computer Networks and Communications 67
Countries citing papers authored by Joshua I. James
This map shows the geographic impact of Joshua I. James'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 Joshua I. James with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua I. James more than expected).
Fields of papers citing papers by Joshua I. James
This network shows the impact of papers produced by Joshua I. James. 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 Joshua I. James. The network helps show where Joshua I. James may publish in the future.
Co-authorship network of co-authors of Joshua I. James
This figure shows the co-authorship network connecting the top 25 collaborators of Joshua I. James. A scholar is included among the top collaborators of Joshua I. James 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 Joshua I. James. Joshua I. James is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 50 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 56 | |
| 10 | 10 | |
| 11 | 6 | |
| 12 | 14 | |
| 13 | 5 | |
| 14 | 11 | |
| 15 | 15 | |
| 16 | 32 | |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 13 | |
| 20 | State Cigarette Excise Taxes: Implications for Revenue and Tax Evasion | 14 |
About Joshua I. James
Joshua I. James is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications, having authored 26 papers that have together received 322 indexed citations. Recurring topics across this work include Digital and Cyber Forensics (14 papers), Advanced Malware Detection Techniques (13 papers) and Network Security and Intrusion Detection (5 papers). The work is most often cited by research in Signal Processing (145 citations), Information Systems (230 citations) and Computer Vision and Pattern Recognition (77 citations). Joshua I. James has collaborated with scholars based in South Korea, Ireland and United States. Frequent co-authors include Pavel Gladyshev, Michael Losavio, K. P. Chow, Hyoung Rae Kim, Sangjin Lee, Matthew C. Farrelly, Kyungho Lee, Dohyun Kim, Frank Breitinger and Luis Sentis. Their work appears in journals such as Future Generation Computer Systems, IEEE Security & Privacy and Digital Investigation.
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.