Ian Sykes

493 total citations
8 papers, 389 citations indexed

About

Ian Sykes is a scholar working on Environmental Engineering, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Ian Sykes has authored 8 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Environmental Engineering, 5 papers in Atmospheric Science and 3 papers in Global and Planetary Change. Recurrent topics in Ian Sykes's work include Wind and Air Flow Studies (5 papers), Atmospheric chemistry and aerosols (3 papers) and Meteorological Phenomena and Simulations (3 papers). Ian Sykes is often cited by papers focused on Wind and Air Flow Studies (5 papers), Atmospheric chemistry and aerosols (3 papers) and Meteorological Phenomena and Simulations (3 papers). Ian Sykes collaborates with scholars based in United States, United Kingdom and France. Ian Sykes's co-authors include D. C. Lewellen, Andreas Chlond, Joan Cuxart, Björn Stevens, Branko Kosović, Peter Bechtold, Chin‐Hoh Moeng, David E. Stevens, Christopher S. Bretherton and A. Pier Siebesma and has published in prestigious journals such as Environmental Science & Technology, Atmospheric Environment and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Ian Sykes

8 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ian Sykes United States	6	292	229	147	68	44	8	389
W. Klug Germany	8	214 0.7×	197 0.9×	241 1.6×	63 0.9×	52 1.2×	16	391
C.A. Sherman United States	4	116 0.4×	78 0.3×	154 1.0×	31 0.5×	44 1.0×	6	264
Richard M. Eckman United States	10	142 0.5×	126 0.6×	158 1.1×	78 1.1×	27 0.6×	21	287
E. Lyck Denmark	6	157 0.5×	82 0.4×	168 1.1×	105 1.5×	26 0.6×	14	273
John R. Hannan United States	14	502 1.7×	439 1.9×	138 0.9×	85 1.3×	14 0.3×	19	598
Krista K. Laursen United States	7	323 1.1×	314 1.4×	52 0.4×	60 0.9×	11 0.3×	7	406
C. R. Dickson United States	10	202 0.7×	144 0.6×	156 1.1×	50 0.7×	29 0.7×	20	325
Franklin A. Gifford United States	4	155 0.5×	133 0.6×	132 0.9×	61 0.9×	15 0.3×	5	275
Mei-Kao Liu United States	11	269 0.9×	138 0.6×	158 1.1×	180 2.6×	37 0.8×	21	396
S. F. Parker United States	8	170 0.6×	110 0.5×	236 1.6×	72 1.1×	225 5.1×	12	433

Countries citing papers authored by Ian Sykes

Since Specialization

Citations

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

Fields of papers citing papers by Ian Sykes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Sykes

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

All Works

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8 of 8 papers shown

Bieringer, Paul E., et al.. (2015). Automated source term and wind parameter estimation for atmospheric transport and dispersion applications. Atmospheric Environment. 122. 206–219. 27 indexed citations

Bieringer, Paul E., et al.. (2011). Fusion of chemical, biological, and meteorological observations for agent source term estimation and hazard refinement. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8064. 80640H–80640H. 2 indexed citations

Vandenberghe, François, et al.. (2011). AUTOMATED SOURCE PARAMETER AND LOW LEVEL WIND ESTIMATION FOR ATMOSPHERIC TRANSPORT AND DISPERSION APPLICATIONS. 1 indexed citations

Hanna, Steven R., et al.. (2008). Comparison of six widely‐used dense gas dispersion models for three recent chlorine railcar accidents. Process Safety Progress. 27(3). 248–259. 60 indexed citations

Karamchandani, Prakash, et al.. (2000). Development and Evaluation of a State-of-the-Science Reactive Plume Model. Environmental Science & Technology. 34(5). 870–880. 47 indexed citations

Bretherton, Christopher S., M. K. MacVean, Peter Bechtold, et al.. (1999). An intercomparison of radiatively driven entrainment and turbulence in a smoke cloud, as simulated by different numerical models. Quarterly Journal of the Royal Meteorological Society. 125(554). 391–423. 215 indexed citations

Bechtold, Peter, Andreas Chlond, Joan Cuxart, et al.. (1999). An intercomparison of radiatively driven entrainment and turbulence in a smoke cloud, as simulated by different numerical models. Quarterly Journal of the Royal Meteorological Society. 125(554). 391–423. 16 indexed citations

Seigneur, Christian, Patricia A. Gillespie, R. W. Bergstrom, et al.. (1997). Formulation of a Second-Generation Reactive Plume and Visibility Model. Journal of the Air & Waste Management Association. 47(2). 176–184. 21 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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