Paul Martin
- Hepatology top 0.5%
- Epidemiology top 5%
- Rheumatology top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Linda MurraySteven M. BanksAdrian M. Di BisceglieJeanne G. WaggonerJay H. HoofnagleChris KassianidesZachary GoodmanMauricio Lisker‐Melman
- Topics
- Cloud Computing and Resource Management (10 papers)Scientific Computing and Data Management (10 papers)Software System Performance and Reliability (6 papers)
- Cited by
- HepatologyEpidemiologyRheumatology
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Paul Martin
40 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Hepatology 998
- Epidemiology 895
- Rheumatology 264
- Information Systems 196
- Computer Networks and Communications 150
Countries citing papers authored by Paul Martin
This map shows the geographic impact of Paul Martin'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 Paul Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Martin more than expected).
Fields of papers citing papers by Paul Martin
This network shows the impact of papers produced by Paul Martin. 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 Paul Martin. The network helps show where Paul Martin may publish in the future.
Co-authorship network of co-authors of Paul Martin
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Martin. A scholar is included among the top collaborators of Paul Martin 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 Paul Martin. Paul Martin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | Advances in the Management of Renal Dysfunction in Patients With Cirrhosis | 5 |
| 4 | 13 | |
| 5 | 0 | |
| 6 | 26 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 9 | |
| 11 | 0 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 12 | |
| 15 | 4 | |
| 16 | Reviving racial medicine? The use of race/ethnicity in genetics and biomedical research, and the implications for science and healthcare | 7 |
| 17 | 9 | |
| 18 | 1 | |
| 19 | Recombinant Interferon Alfa Therapy for Chronic Hepatitis Cbreakdown → | 1054 |
| 20 | The Canadian pattern of health progress. | 0 |
About Paul Martin
Paul Martin is a scholar working on Information Systems and Management, Hepatology and Information Systems, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (10 papers), Scientific Computing and Data Management (10 papers) and Software System Performance and Reliability (6 papers). The work is most often cited by research in Hepatology (998 citations), Epidemiology (895 citations) and Rheumatology (264 citations). Paul Martin has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Linda Murray, Steven M. Banks, Adrian M. Di Bisceglie, Jeanne G. Waggoner, Jay H. Hoofnagle, Chris Kassianides, Zachary Goodman, Mauricio Lisker‐Melman, Zhiming Zhao and Chris Hankin. Their work appears in journals such as New England Journal of Medicine, Gastroenterology and BMJ.
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.