James M. Gross

606 total citations
9 papers, 485 citations indexed

About

James M. Gross is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, James M. Gross has authored 9 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 5 papers in Global and Planetary Change and 2 papers in Oceanography. Recurrent topics in James M. Gross's work include Tropical and Extratropical Cyclones Research (6 papers), Meteorological Phenomena and Simulations (5 papers) and Climate variability and models (5 papers). James M. Gross is often cited by papers focused on Tropical and Extratropical Cyclones Research (6 papers), Meteorological Phenomena and Simulations (5 papers) and Climate variability and models (5 papers). James M. Gross collaborates with scholars based in United States and Brazil. James M. Gross's co-authors include Charles R. Sampson, John A. Knaff, Mark DeMaria, Colin J. McAdie, James S. Goerss, Timothy Marchok, Miles B. Lawrence, Mariano A. Estoque, Edward N. Rappaport and Richard J. Pasch and has published in prestigious journals such as Monthly Weather Review, Bulletin of the American Meteorological Society and Weather and Forecasting.

In The Last Decade

James M. Gross

9 papers receiving 447 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James M. Gross United States 6 446 314 197 47 16 9 485
Stephen R. Baig United States 6 442 1.0× 285 0.9× 325 1.6× 49 1.0× 12 0.8× 11 551
Charles R. Holliday United States 4 375 0.8× 260 0.8× 233 1.2× 39 0.8× 16 1.0× 10 388
James I. Belanger United States 5 348 0.8× 202 0.6× 213 1.1× 95 2.0× 30 1.9× 7 378
Jiann-Gwo Jiing United States 5 498 1.1× 366 1.2× 259 1.3× 21 0.4× 9 0.6× 5 525
Andrew Burton Australia 7 404 0.9× 286 0.9× 234 1.2× 28 0.6× 10 0.6× 9 427
Neil L. Frank United States 9 381 0.9× 344 1.1× 181 0.9× 28 0.6× 7 0.4× 25 436
Xiaotu Lei China 13 533 1.2× 424 1.4× 361 1.8× 19 0.4× 29 1.8× 42 569
Steven Skubis United States 8 547 1.2× 469 1.5× 278 1.4× 18 0.4× 23 1.4× 10 564
Sytske K. Kimball United States 10 508 1.1× 361 1.1× 255 1.3× 44 0.9× 33 2.1× 16 526
Yuan Sun China 16 631 1.4× 544 1.7× 319 1.6× 15 0.3× 28 1.8× 59 691

Countries citing papers authored by James M. Gross

Since Specialization
Citations

This map shows the geographic impact of James M. Gross'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 M. Gross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James M. Gross more than expected).

Fields of papers citing papers by James M. Gross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Gross. 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 M. Gross. The network helps show where James M. Gross may publish in the future.

Co-authorship network of co-authors of James M. Gross

This figure shows the co-authorship network connecting the top 25 collaborators of James M. Gross. A scholar is included among the top collaborators of James M. Gross 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 James M. Gross. James M. Gross is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Knaff, John A., Charles R. Sampson, Mark DeMaria, et al.. (2007). Statistical Tropical Cyclone Wind Radii Prediction Using Climatology and Persistence. Weather and Forecasting. 22(4). 781–791. 146 indexed citations
2.
Landsea, Christopher W., James L. Franklin, Colin J. McAdie, et al.. (2004). A Reanalysis of Hurricane Andrew's Intensity. Bulletin of the American Meteorological Society. 85(11). 1699–1712. 77 indexed citations
3.
Goerss, James S., Charles R. Sampson, & James M. Gross. (2004). A History of Western North Pacific Tropical Cyclone Track Forecast Skill. Weather and Forecasting. 19(3). 633–638. 80 indexed citations
4.
Knaff, John A., Mark DeMaria, Charles R. Sampson, & James M. Gross. (2003). NCEP NOTES Statistical, 5-Day Tropical Cyclone Intensity Forecasts Derived from Climatology and Persistence. 1 indexed citations
5.
Knaff, John A., Mark DeMaria, Charles R. Sampson, & James M. Gross. (2003). Statistical, 5-Day Tropical Cyclone Intensity Forecasts Derived from Climatology and Persistence. Weather and Forecasting. 18(1). 80–92. 119 indexed citations
6.
Padilha, Antônio L., et al.. (1992). Seasonal Variation in Apparent Resistivity Probably Associated with Drastic Rainfall Changes in Southern Brazil.. Journal of geomagnetism and geoelectricity. 44(8). 651–660. 2 indexed citations
7.
Lawrence, Miles B. & James M. Gross. (1989). Atlantic Hurricane Season of 1988. Monthly Weather Review. 117(10). 2248–2259. 29 indexed citations
8.
Estoque, Mariano A. & James M. Gross. (1981). Further Studies of a Lake Breeze Part ll: Theoretical Study. Monthly Weather Review. 109(3). 619–634. 30 indexed citations
9.
Gross, James M., et al.. (1978). Diurnal Wind and Temperature Variations over Lake Ontario. Monthly Weather Review. 106(12). 1742–1747. 1 indexed citations

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.

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