J M McDermott
- Plant Science top 2%
- Cell Biology top 5%
- Molecular Biology
- Ecology top 10%
- Genetics top 10%
- Co-authors
- Bruce A. McDonaldJulian DaviesPaige E. AxelroodR. W. AllardChristopher C RadomskiS.M. KellerMartin S. WolfeR. K. Webster
- Topics
- Traffic Prediction and Management Techniques (6 papers)Wheat and Barley Genetics and Pathology (5 papers)Plant Disease Resistance and Genetics (5 papers)
- Partner nations
- United StatesCanadaIreland
In The Last Decade
J M McDermott
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Plant Science 829
- Cell Biology 409
- Molecular Biology 367
- Ecology 201
- Genetics 199
Countries citing papers authored by J M McDermott
This map shows the geographic impact of J M McDermott'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 J M McDermott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J M McDermott more than expected).
Fields of papers citing papers by J M McDermott
This network shows the impact of papers produced by J M McDermott. 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 J M McDermott. The network helps show where J M McDermott may publish in the future.
Co-authorship network of co-authors of J M McDermott
This figure shows the co-authorship network connecting the top 25 collaborators of J M McDermott. A scholar is included among the top collaborators of J M McDermott 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 J M McDermott. J M McDermott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Solitary nodule with white hairs. | 1 |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 100 | |
| 6 | 38 | |
| 7 | 101 | |
| 8 | 83 | |
| 9 | 145 | |
| 10 | THREE DECADES OF PROGRESS: FREEWAY TRAFFIC MANAGEMENT IN ILLINOIS | 0 |
| 11 | 1 | |
| 12 | 59 | |
| 13 | INCIDENT DETECTION AND RESPONSE | 1 |
| 14 | 13 | |
| 15 | IMPROVING COMMERCIAL RADIO TRAFFIC REPORTS IN THE CHICAGO AREA | 13 |
| 16 | Servicing the Needs of a Non-Traditional Clientele: The New Resources Approach. | 1 |
| 17 | INCIDENT SURVEILLANCE AND CONTROL ON CHICAGO-AREA FREEWAYS | 2 |
| 18 | AUTOMATIC FREEWAY SURVEILLANCE AND EVALUATION TECHNIQUES | 2 |
| 19 | OPERATIONAL EFFECTS OF AUTOMATIC RAMP CONTROL ON NETWORK TRAFFIC | 7 |
| 20 | IMPROVING TRAFFIC FLOW AT TRANSFER ROADWAYS ON COLLECTOR- DISTRIBUTOR TYPE EXPRESSWAYS | 1 |
About J M McDermott
J M McDermott is a scholar working on Building and Construction, Transportation and Management of Technology and Innovation, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (6 papers), Wheat and Barley Genetics and Pathology (5 papers) and Plant Disease Resistance and Genetics (5 papers). The work is most often cited by research in Cell Biology (409 citations), Plant Science (829 citations) and Ecology, Evolution, Behavior and Systematics (190 citations). J M McDermott has collaborated with scholars based in United States, Canada and Ireland. Frequent co-authors include Bruce A. McDonald, Julian Davies, Paige E. Axelrood, R. W. Allard, Christopher C Radomski, S.M. Keller, Martin S. Wolfe, R. K. Webster, Stephen B. Goodwin and Karen H. Lu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genetics and BioScience.
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.