P. Kalmus

13.3k total citations
28 papers, 413 citations indexed

About

P. Kalmus is a scholar working on Atmospheric Science, Astronomy and Astrophysics and Global and Planetary Change. According to data from OpenAlex, P. Kalmus has authored 28 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atmospheric Science, 11 papers in Astronomy and Astrophysics and 10 papers in Global and Planetary Change. Recurrent topics in P. Kalmus's work include Meteorological Phenomena and Simulations (10 papers), Pulsars and Gravitational Waves Research (10 papers) and Atmospheric aerosols and clouds (6 papers). P. Kalmus is often cited by papers focused on Meteorological Phenomena and Simulations (10 papers), Pulsars and Gravitational Waves Research (10 papers) and Atmospheric aerosols and clouds (6 papers). P. Kalmus collaborates with scholars based in United States, Japan and Australia. P. Kalmus's co-authors include João Teixeira, Christian D. Ott, Matthew Lebsock, P. Thaddeus, Michael McCarthy, C. A. Gottlieb, M. J. Travers, I. S. Heng, Sun Wong and J. Logue and has published in prestigious journals such as The Astrophysical Journal, Remote Sensing of Environment and Journal of Climate.

In The Last Decade

P. Kalmus

28 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Kalmus United States 12 207 149 125 84 65 28 413
M. Compiègne France 12 404 2.0× 160 1.1× 80 0.6× 37 0.4× 47 0.7× 22 528
Mark Hofstadter United States 14 517 2.5× 188 1.3× 58 0.5× 26 0.3× 12 0.2× 61 611
J. E. Reynolds Australia 13 518 2.5× 35 0.2× 65 0.5× 39 0.5× 271 4.2× 34 646
T. P. Prabhu India 19 706 3.4× 215 1.4× 184 1.5× 41 0.5× 182 2.8× 88 1.0k
Gaël Cessateur Belgium 12 395 1.9× 186 1.2× 37 0.3× 52 0.6× 15 0.2× 39 517
И. В. Мингалев Russia 12 278 1.3× 123 0.8× 114 0.9× 24 0.3× 34 0.5× 78 420
Zoltán Németh Hungary 18 436 2.1× 253 1.7× 162 1.3× 41 0.5× 35 0.5× 52 775
Lucio Baggio France 13 360 1.7× 116 0.8× 88 0.7× 43 0.5× 24 0.4× 35 429
V. G. Zubko United States 9 458 2.2× 245 1.6× 200 1.6× 17 0.2× 21 0.3× 17 706
D. Imel United States 11 114 0.6× 67 0.4× 20 0.2× 108 1.3× 174 2.7× 25 483

Countries citing papers authored by P. Kalmus

Since Specialization
Citations

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

Fields of papers citing papers by P. Kalmus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Kalmus. 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 P. Kalmus. The network helps show where P. Kalmus may publish in the future.

Co-authorship network of co-authors of P. Kalmus

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

All Works

20 of 20 papers shown
1.
Masuda, Yuta J., Luke Parsons, June T. Spector, et al.. (2024). Impacts of warming on outdoor worker well-being in the tropics and adaptation options. One Earth. 7(3). 382–400. 18 indexed citations
2.
Kalmus, P., et al.. (2023). Investigating whether the inclusion of humid heat metrics improves estimates of AC penetration rates: a case study of Southern California. Environmental Research Letters. 18(10). 104054–104054. 3 indexed citations
3.
Kahn, Brian H., et al.. (2023). A Nowcasting Approach for Low-Earth-Orbiting Hyperspectral Infrared Soundings within the Convective Environment. Weather and Forecasting. 38(8). 1295–1312. 2 indexed citations
4.
Kalmus, P., et al.. (2022). Past the Precipice? Projected Coral Habitability Under Global Heating. Earth s Future. 10(5). e2021EF002608–e2021EF002608. 10 indexed citations
5.
Kalmus, P., et al.. (2022). A high-resolution planetary boundary layer height seasonal climatology from GNSS radio occultations. Remote Sensing of Environment. 276. 113037–113037. 22 indexed citations
6.
Kalmus, P., Hai Nguyen, Tao Wang, et al.. (2022). Data Fusion of AIRS and CrIMSS Near Surface Air Temperature. Earth and Space Science. 9(10). 1 indexed citations
7.
Irion, F. W., Brian H. Kahn, M. M. Schreier, et al.. (2018). Single-footprint retrievals of temperature, water vapor and cloud properties from AIRS. Atmospheric measurement techniques. 11(2). 971–995. 38 indexed citations
8.
Kalmus, P. & Matthew Lebsock. (2017). Correcting Biased Evaporation in CloudSat Warm Rain. IEEE Transactions on Geoscience and Remote Sensing. 55(11). 6207–6217. 6 indexed citations
9.
Lebsock, Matthew, Kentaroh Suzuki, Luis Millán, & P. Kalmus. (2015). The feasibility of water vapor sounding of the cloudy boundary layer using a differential absorption radar technique. Atmospheric measurement techniques. 8(9). 3631–3645. 20 indexed citations
10.
Kalmus, P., Sun Wong, & João Teixeira. (2015). The Pacific Subtropical Cloud Transition: A MAGIC Assessment of AIRS and ECMWF Thermodynamic Structure. IEEE Geoscience and Remote Sensing Letters. 12(7). 1586–1590. 19 indexed citations
11.
Wąs, M., P. Kalmus, J. R. Leong, et al.. (2014). A fixed false alarm probability figure of merit for gravitational wave detectors. Classical and Quantum Gravity. 31(8). 85004–85004. 4 indexed citations
12.
Logue, J., et al.. (2012). Inferring core-collapse supernova physics with gravitational waves. Physical review. D. Particles, fields, gravitation, and cosmology. 86(4). 52 indexed citations
13.
Aso, Y., E. Goetz, P. Kalmus, et al.. (2009). Accurate measurement of the time delay in the response of the LIGO gravitational wave detectors. Classical and Quantum Gravity. 26(5). 55010–55010. 3 indexed citations
14.
Kalmus, P., K. C. Cannon, Szabolcs Márka, & B. J. Owen. (2009). Stacking gravitational wave signals from soft gamma repeater bursts. Physical review. D. Particles, fields, gravitation, and cosmology. 80(4). 11 indexed citations
15.
Matone, L., P. Raffai, Szabolcs Márka, et al.. (2007). Benefits of artificially generated gravity gradients for interferometric gravitational-wave detectors. Classical and Quantum Gravity. 24(9). 2217–2229. 11 indexed citations
16.
Dwyer, J. G., et al.. (2006). Prospects of gravitational wave data mining and exploration via evolutionary computing. Journal of Physics Conference Series. 32. 58–65. 4 indexed citations
17.
Kalmus, P.. (1999). Particles and the universe. Physics Education. 34(2). 59–67. 1 indexed citations
18.
McCarthy, Michael, M. J. Travers, P. Kalmus, C. A. Gottlieb, & P. Thaddeus. (1997). Microwave spectroscopy of the carbon chain radical C11H. Chemical Physics Letters. 264(1-2). 252–256. 10 indexed citations
19.
Travers, M. J., Michael McCarthy, P. Kalmus, C. A. Gottlieb, & P. Thaddeus. (1996). Laboratory Detection of the Linear Cyanopolyyne HC[TINF]11[/TINF]N. The Astrophysical Journal. 469(1). L65–L68. 27 indexed citations
20.
McCarthy, Michael, M. J. Travers, P. Kalmus, C. A. Gottlieb, & P. Thaddeus. (1996). Laboratory Detection of the C[TINF]9[/TINF]H Radical. The Astrophysical Journal. 467(2). L125–L127. 25 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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